JOB TITLE: Lead Data Engineer - Personalised Experiences & Communications Platform SALARY: £86,964 - £102,310 LOCATION(S): Bristol HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Bristol Office About this opportunity A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross functional teams. As a Data Engineer your responsibilities will be delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open minded to the opportunities the cloud provides. What you'll be doing Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. Using industry leading toolsets, as well as evaluating exciting new technologies to design and build scalable real time data applications. Spanning the full data lifecycle and experience using mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery etc for data pipelines. Mentoring other engineers to deliver high quality and data led solutions for our Bank's customers Being a team player who can build relationships and work productively with other teams across a variety of domains About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too Specifically, we're looking for people who have . Best practice coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go). Working experience with operational data stores, data warehouse, big data technologies and data lakes (Teradata DW, BigQuery) Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle/Teradata, experience with relational and dimensional data structures. Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with Kafka technologies Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Good understating of cloud storage, networking and resource provisioning It would be great if you had Certification in GCP "Professional Data Engineer" Certification in Apache Kafka (CCDAK) Strong experience in data analysis Proficiency across the data lifecycle Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares. Benefits you can adapt to your lifestyle, such as discounted shopping. 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more. Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Mar 28, 2024
Full time
JOB TITLE: Lead Data Engineer - Personalised Experiences & Communications Platform SALARY: £86,964 - £102,310 LOCATION(S): Bristol HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Bristol Office About this opportunity A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross functional teams. As a Data Engineer your responsibilities will be delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open minded to the opportunities the cloud provides. What you'll be doing Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. Using industry leading toolsets, as well as evaluating exciting new technologies to design and build scalable real time data applications. Spanning the full data lifecycle and experience using mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery etc for data pipelines. Mentoring other engineers to deliver high quality and data led solutions for our Bank's customers Being a team player who can build relationships and work productively with other teams across a variety of domains About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too Specifically, we're looking for people who have . Best practice coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go). Working experience with operational data stores, data warehouse, big data technologies and data lakes (Teradata DW, BigQuery) Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle/Teradata, experience with relational and dimensional data structures. Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with Kafka technologies Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Good understating of cloud storage, networking and resource provisioning It would be great if you had Certification in GCP "Professional Data Engineer" Certification in Apache Kafka (CCDAK) Strong experience in data analysis Proficiency across the data lifecycle Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares. Benefits you can adapt to your lifestyle, such as discounted shopping. 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more. Join our journey. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
We're Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Overview We're Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables What's the job Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Interested? Great, apply now and help us to Power the Possible. What we offer. Private Health Care Opportunity to receive up to family level cover with Bupa. Join within three months of starting or at annual renewal in April.(This benefit is subject to Benefit In Kind taxation). Kingfisher Pension Scheme Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company. 25 Days' Holiday 25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues). Staff Discount 20% discount at B&Q and Screwfix.Eligible after 3 months service. Kingfisher Share Incentive Plan (SIP) Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached. Life Assurance x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member. Bonus Competitive bonus scheme that aligns to work level of role. Kingfisher Share Save Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October. Our employees know us best. We wouldn't be Kingfisher without them. So, we want to share what they think with you. I'm proud to work for Kingfisher, I've had great opportunities that have enabled me to contribute to an exciting forward-thinking company. Development and progression is a high priority at Kingfisher, I've always felt well supported. Training & Development There's so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you. Conversations with senior leaders You'll be able to have regular conversations with managers about personal development and gain a better understanding about what you want from your career and how to achieve it. Resources and tools to help you grow Improving without instruments that help you learn is near impossible. That's why we make sure you have everything at your fingertips to find exactly what you need to keep growing. Initiatives that measure development With plans that ask you what goals you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy. Find your path The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation. Sharing is caring We aren't selfish here at Kingfisher. Whatever your level of experience, you'll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it. Reach for the stars So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level. Why Kingfisher We're an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher? Application Process What to expect from our application process Step 1: Application Send in your application via our Kingfisher Careers website. Step 2: Review A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process. Step 3: Interview 1 You'll then have a telephone interview/one to one conversation with a recruiter. Step 4: Interview 2 As you progress, you'll be invited to attend a face to face or virtual interview. Step 5: Feedback Your recruiter will be in contact with feedback and, if successful, the details of your job offer!
Mar 28, 2024
Full time
We're Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Overview We're Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables What's the job Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Interested? Great, apply now and help us to Power the Possible. What we offer. Private Health Care Opportunity to receive up to family level cover with Bupa. Join within three months of starting or at annual renewal in April.(This benefit is subject to Benefit In Kind taxation). Kingfisher Pension Scheme Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company. 25 Days' Holiday 25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues). Staff Discount 20% discount at B&Q and Screwfix.Eligible after 3 months service. Kingfisher Share Incentive Plan (SIP) Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached. Life Assurance x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member. Bonus Competitive bonus scheme that aligns to work level of role. Kingfisher Share Save Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October. Our employees know us best. We wouldn't be Kingfisher without them. So, we want to share what they think with you. I'm proud to work for Kingfisher, I've had great opportunities that have enabled me to contribute to an exciting forward-thinking company. Development and progression is a high priority at Kingfisher, I've always felt well supported. Training & Development There's so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you. Conversations with senior leaders You'll be able to have regular conversations with managers about personal development and gain a better understanding about what you want from your career and how to achieve it. Resources and tools to help you grow Improving without instruments that help you learn is near impossible. That's why we make sure you have everything at your fingertips to find exactly what you need to keep growing. Initiatives that measure development With plans that ask you what goals you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy. Find your path The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation. Sharing is caring We aren't selfish here at Kingfisher. Whatever your level of experience, you'll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it. Reach for the stars So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level. Why Kingfisher We're an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher? Application Process What to expect from our application process Step 1: Application Send in your application via our Kingfisher Careers website. Step 2: Review A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process. Step 3: Interview 1 You'll then have a telephone interview/one to one conversation with a recruiter. Step 4: Interview 2 As you progress, you'll be invited to attend a face to face or virtual interview. Step 5: Feedback Your recruiter will be in contact with feedback and, if successful, the details of your job offer!
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Mar 27, 2024
Full time
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Mar 26, 2024
Full time
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing Working in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Demonstrable experience of managing/ mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
Mar 26, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing Working in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Demonstrable experience of managing/ mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
Job Description - Accertify - Senior Data Scientist () Accertify - Senior Data Scientist - Description You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact - every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Accertify is the trusted partner to the world's leading eCommerce brands. We help our clients grow revenue and protect against loss with industry-leading fraud prevention and digital identity offerings. When you join Accertify, you become part of the digital solution to enable legitimate eCommerce, delivering peace of mind to merchants and their customers across the globe. provides a solution merchants trust and a career you can trust. Accertify is growing, and we are looking to add a Senior Manager- Machine Learning Engineer to our global fraud-fighting team. How will you make an impact in this role? Accertify's Data Science team is looking for a skilled "Senior Manager - Senior Data Scientist" with a focus on Data Science client consultation and Machine Learning (ML) model management. This individual will use their software development background and strong analytical skills to help build and enhance Accertify's industry-leading fraud detection tools with a focus on interacting with our large datasets. This individual's day-to-day work will involve client consultations, developing production-ready ML models, following SDLC and MLOps principles, analyzing data using SQL, Spark (Scala/ PySpark), and utilize overall DS hardware infrastructure expertise to maintain, design and build software solutions that are fast, scalable, and flexible. At the Senior Manager Level, the employee typically does not have a people leadership role but is often viewed as a subject matter expert and/or mentor to managers and analysts. Possesses the expertise, knowledge and seasoning to work on projects of high sensitivity or importance. Works relatively independently and is responsible for driving consequential decisions. Key Responsibilities: Client onboarding to Accertify's ML model suite, performance monitoring and client consultations Explore emerging risk patterns and write production-level end-to-end ML model pipelines Use the existing MLOps pipeline to build scalable ML models following SDLC best practices Support client consultations for data science related inquiries Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams like Bigdata, DevOps, Infra etc. to optimize data pipelines, model deployment, and monitoring systems Elevate the performance of colleagues through training, mentoring, and promoting best practices Experiment with technologies and propose solutions to colleagues including architects, data scientists and leadership Minimum Qualifications: Master's degree in Computer Science, Engineering or equivalent experience with 5+ years of experience OR bachelor's degree in Computer Science or Engineering, or equivalent experience with 7+ years of experience 5+ years of experience working as a Data Scientist in an enterprise setting High volume transactional environment experience Strong background in Python and developing low-latency production-ready ML models Preferred Qualifications: Excellent communication skills and the ability to distill complex theories to a variety of stakeholders Experience in the fraud management space Experience in deploying ML model pipelines in production and familiarity with MLOps and version controlling Understanding in statistics and ML concepts such as model selection criteria, parameter tuning, A/B Testing, performance metrics etc. Big Data Components/Frameworks such as Hadoop (MapR), Spark, DASK etc. and the knowledge to manage compute in a distributed computing environment Minimum Qualifications We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Job Job Risk Primary Location Schedule Schedule Full-time Job Posting Job Posting Mar 20, 2024, 3:51:31 PM - Apr 3, 2024, 10:59:00 PM At American Express, you'll be recognized for your contributions, leadership, and impact - every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Additional Note for US Applicants: American Express does not currently utilize the AI capabilities of its application management platform in making employment decisions. If you have a disability and would like to request an accommodation in order to apply for a position you may contactus by clicking here . Please indicate if you would prefer a response via email or phone. US applicants may also contact us by usingthe US Toll Free number 1-.
Mar 25, 2024
Full time
Job Description - Accertify - Senior Data Scientist () Accertify - Senior Data Scientist - Description You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact - every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Accertify is the trusted partner to the world's leading eCommerce brands. We help our clients grow revenue and protect against loss with industry-leading fraud prevention and digital identity offerings. When you join Accertify, you become part of the digital solution to enable legitimate eCommerce, delivering peace of mind to merchants and their customers across the globe. provides a solution merchants trust and a career you can trust. Accertify is growing, and we are looking to add a Senior Manager- Machine Learning Engineer to our global fraud-fighting team. How will you make an impact in this role? Accertify's Data Science team is looking for a skilled "Senior Manager - Senior Data Scientist" with a focus on Data Science client consultation and Machine Learning (ML) model management. This individual will use their software development background and strong analytical skills to help build and enhance Accertify's industry-leading fraud detection tools with a focus on interacting with our large datasets. This individual's day-to-day work will involve client consultations, developing production-ready ML models, following SDLC and MLOps principles, analyzing data using SQL, Spark (Scala/ PySpark), and utilize overall DS hardware infrastructure expertise to maintain, design and build software solutions that are fast, scalable, and flexible. At the Senior Manager Level, the employee typically does not have a people leadership role but is often viewed as a subject matter expert and/or mentor to managers and analysts. Possesses the expertise, knowledge and seasoning to work on projects of high sensitivity or importance. Works relatively independently and is responsible for driving consequential decisions. Key Responsibilities: Client onboarding to Accertify's ML model suite, performance monitoring and client consultations Explore emerging risk patterns and write production-level end-to-end ML model pipelines Use the existing MLOps pipeline to build scalable ML models following SDLC best practices Support client consultations for data science related inquiries Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams like Bigdata, DevOps, Infra etc. to optimize data pipelines, model deployment, and monitoring systems Elevate the performance of colleagues through training, mentoring, and promoting best practices Experiment with technologies and propose solutions to colleagues including architects, data scientists and leadership Minimum Qualifications: Master's degree in Computer Science, Engineering or equivalent experience with 5+ years of experience OR bachelor's degree in Computer Science or Engineering, or equivalent experience with 7+ years of experience 5+ years of experience working as a Data Scientist in an enterprise setting High volume transactional environment experience Strong background in Python and developing low-latency production-ready ML models Preferred Qualifications: Excellent communication skills and the ability to distill complex theories to a variety of stakeholders Experience in the fraud management space Experience in deploying ML model pipelines in production and familiarity with MLOps and version controlling Understanding in statistics and ML concepts such as model selection criteria, parameter tuning, A/B Testing, performance metrics etc. Big Data Components/Frameworks such as Hadoop (MapR), Spark, DASK etc. and the knowledge to manage compute in a distributed computing environment Minimum Qualifications We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Job Job Risk Primary Location Schedule Schedule Full-time Job Posting Job Posting Mar 20, 2024, 3:51:31 PM - Apr 3, 2024, 10:59:00 PM At American Express, you'll be recognized for your contributions, leadership, and impact - every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Additional Note for US Applicants: American Express does not currently utilize the AI capabilities of its application management platform in making employment decisions. If you have a disability and would like to request an accommodation in order to apply for a position you may contactus by clicking here . Please indicate if you would prefer a response via email or phone. US applicants may also contact us by usingthe US Toll Free number 1-.
WHAT WE DO At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Role Transaction Banking: Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team: Financial Risk Engineering is a global team with presence in New York, London, Bengaluru and Dallas. We are responsible for the technical design and development of systems that protect the firm and our clients from Financial Crime including real time Fraud prevention and compliance with global Sanctions and regulatory requirements, using existing and emerging technologies. The Role: In this role you will be responsible for leading the team in London. As a Senior Developer / Architect you will be expected to drive the design of critical components and shape our strategic vision for a variety of next-gen platforms that will protect the firm and our clients from Financial Crime, focusing on code quality, automation and testability. You will have the opportunity to understand our product roadmap and contribute to building an engineering culture within our global team. You will be responsible for mentoring and developing junior talent. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop easy to support software and liaise with our SRE team to factor in their requirements. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS Minimum 7 years of relevant professional experience using a modern programming language (preferably Java) Proven ability to lead engineering teams and deliver complex products with multiple stakeholders Prior experience with working on high availability, mission critical systems BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment Team oriented, strong interpersonal and communication skills PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Mar 25, 2024
Full time
WHAT WE DO At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Role Transaction Banking: Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team: Financial Risk Engineering is a global team with presence in New York, London, Bengaluru and Dallas. We are responsible for the technical design and development of systems that protect the firm and our clients from Financial Crime including real time Fraud prevention and compliance with global Sanctions and regulatory requirements, using existing and emerging technologies. The Role: In this role you will be responsible for leading the team in London. As a Senior Developer / Architect you will be expected to drive the design of critical components and shape our strategic vision for a variety of next-gen platforms that will protect the firm and our clients from Financial Crime, focusing on code quality, automation and testability. You will have the opportunity to understand our product roadmap and contribute to building an engineering culture within our global team. You will be responsible for mentoring and developing junior talent. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop easy to support software and liaise with our SRE team to factor in their requirements. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS Minimum 7 years of relevant professional experience using a modern programming language (preferably Java) Proven ability to lead engineering teams and deliver complex products with multiple stakeholders Prior experience with working on high availability, mission critical systems BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment Team oriented, strong interpersonal and communication skills PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Energy Transition & Environment space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
Mar 25, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Energy Transition & Environment space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Mar 23, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.
Mar 22, 2024
Full time
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalization team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalization you will develop the strategy and vision for maximizing customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalization across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalization and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritization tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 22, 2024
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalization team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalization you will develop the strategy and vision for maximizing customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalization across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalization and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritization tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalization team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalization you will develop the strategy and vision for maximizing customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalization across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalization and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritization tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 22, 2024
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalization team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalization you will develop the strategy and vision for maximizing customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalization across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalization and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritization tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Who are we? We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning. This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society. What you'll do We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. This role is pivotal in supporting our Science teams' model training and cloud infrastructure efficiency. The ideal candidate will foster a collaborative and innovative culture, aligning team goals with company objectives and driving growth in AI technology. Essential qualifications include experience in MLOps, infrastructure management, and a strong background in embodied AI development. A passion for nurturing team growth and expertise in roadmap planning and stakeholder management are also crucial. This role requires a balance of technical acumen and strategic foresight, making it ideal for someone with a blend of hands-on experience and visionary leadership in an evolving landscape. Impact expected Lead a growing team of 6+ engineers and enabling company wide goals Deliver work needed to support all Science teams to train models and run cloud infrastructure efficiently. Provide a safe space for the team members to challenge each other and grow in their careers by intentional coaching and development. Partner with leadership, program managers and other peer EMs to maintain a culture of collaboration, impact, innovation, and health. Ensure goals of the team are aligned to company goals, and the team is set up for success Contribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers' productivity. Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and company forward Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment This role will be based in our London King's Cross HQ, but we are open to discussing hybrid roles for the right candidate. What we are looking for in our candidate Essential Prior experience as a manager of MLOps and Infra teams. Passionate about fostering personal and professional growth in individual team members, building inclusive high performing teams Industry experience with embodied AI development with real-world product impact. Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables. Prior hands-on Cloud Infrastructure and/or MLOps experience Desirable Experience working in a project-based ("matrix") operating environment Bachelors in Computer Science, Engineering, or similar experience (e.g STEM) Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS etc. What we offer: Competitive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle one of the biggest challenges of our time Bespoke learning and development opportunities Flexible working hours - we trust you to do your job well, at times that suit you and your team Private onsite chef, in-house bar, lots of socials, and more! Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Mar 22, 2024
Full time
Who are we? We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning. This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society. What you'll do We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. This role is pivotal in supporting our Science teams' model training and cloud infrastructure efficiency. The ideal candidate will foster a collaborative and innovative culture, aligning team goals with company objectives and driving growth in AI technology. Essential qualifications include experience in MLOps, infrastructure management, and a strong background in embodied AI development. A passion for nurturing team growth and expertise in roadmap planning and stakeholder management are also crucial. This role requires a balance of technical acumen and strategic foresight, making it ideal for someone with a blend of hands-on experience and visionary leadership in an evolving landscape. Impact expected Lead a growing team of 6+ engineers and enabling company wide goals Deliver work needed to support all Science teams to train models and run cloud infrastructure efficiently. Provide a safe space for the team members to challenge each other and grow in their careers by intentional coaching and development. Partner with leadership, program managers and other peer EMs to maintain a culture of collaboration, impact, innovation, and health. Ensure goals of the team are aligned to company goals, and the team is set up for success Contribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers' productivity. Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and company forward Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment This role will be based in our London King's Cross HQ, but we are open to discussing hybrid roles for the right candidate. What we are looking for in our candidate Essential Prior experience as a manager of MLOps and Infra teams. Passionate about fostering personal and professional growth in individual team members, building inclusive high performing teams Industry experience with embodied AI development with real-world product impact. Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables. Prior hands-on Cloud Infrastructure and/or MLOps experience Desirable Experience working in a project-based ("matrix") operating environment Bachelors in Computer Science, Engineering, or similar experience (e.g STEM) Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS etc. What we offer: Competitive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle one of the biggest challenges of our time Bespoke learning and development opportunities Flexible working hours - we trust you to do your job well, at times that suit you and your team Private onsite chef, in-house bar, lots of socials, and more! Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work! Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting edge shared services organization, your technical skills will be recognized and rewarded. Data Scientists: Use Big Data and advanced analytics to direct the engagement of our business leaders. We need someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Data Engineers: In this role, you will be developing and maintaining minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key R&D initiatives. You'll be supporting and collaborating with Data Scientists to develop advanced machine learning and statistical models. We need someone who can evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions, as well as deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. What you can expect: We are looking to recruit candidates to work in our Newcastle Innovation Centre for 6 to 12 month internship placements starting in summer 2022. We offer you: Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on Continuous coaching - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a multifunctional, diverse environment and developing your talents and ideas Dynamic and respectful work environment - employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance Benefits - we offer an attractive remuneration package on top of a great learning experience, and the best interns have potential to receive a Job Offer after they graduate Qualifications Requirements (sell/experiences) for the role: Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field Have Academic excellence at all stages through school and University education Have a good knowledge of English Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data Familiarity with machine learning workflows, sensors and IoT cloud architecture (desirable) Preferred Experience with Analytical Tools/Applications such as Unix/Linux; Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv; Scientific Computing: R, Python, C++, Java, Scala; High-Performance Parallel and Distributing Computing; Deep Learning frameworks: Keras, Tensorflow; Data Visualization/Management Systems; Business Intelligence tools: such as KNIME, Tableau At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. Our people come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas? P&G ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request an accommodation by clicking 'application help' at the top right-hand corner of the career website.
Jan 04, 2022
Full time
Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work! Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting edge shared services organization, your technical skills will be recognized and rewarded. Data Scientists: Use Big Data and advanced analytics to direct the engagement of our business leaders. We need someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Data Engineers: In this role, you will be developing and maintaining minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key R&D initiatives. You'll be supporting and collaborating with Data Scientists to develop advanced machine learning and statistical models. We need someone who can evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions, as well as deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. What you can expect: We are looking to recruit candidates to work in our Newcastle Innovation Centre for 6 to 12 month internship placements starting in summer 2022. We offer you: Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on Continuous coaching - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a multifunctional, diverse environment and developing your talents and ideas Dynamic and respectful work environment - employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance Benefits - we offer an attractive remuneration package on top of a great learning experience, and the best interns have potential to receive a Job Offer after they graduate Qualifications Requirements (sell/experiences) for the role: Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field Have Academic excellence at all stages through school and University education Have a good knowledge of English Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data Familiarity with machine learning workflows, sensors and IoT cloud architecture (desirable) Preferred Experience with Analytical Tools/Applications such as Unix/Linux; Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv; Scientific Computing: R, Python, C++, Java, Scala; High-Performance Parallel and Distributing Computing; Deep Learning frameworks: Keras, Tensorflow; Data Visualization/Management Systems; Business Intelligence tools: such as KNIME, Tableau At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. Our people come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas? P&G ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request an accommodation by clicking 'application help' at the top right-hand corner of the career website.
Full Stack Engineer At Prospective, we combine distributed computing, simulation and machine learning to recreate the second by second dynamics of city transport networks. These mirror worlds give both people and autonomous agents the ability to foresee the near future of the flows of people, goods and vehicles in the environment around them and adjust their behaviour accordingly. Using this technology, we are currently building FlowOS, a system that combines a powerful but beautiful Optimisation as a Service for public transport, and a real-time autonomous dispatch system. FlowOS is being adopted by some of the biggest public transport operators in Europe to streamline both planning and day to day transit operations. We are looking for a great full stack developer to join us at an exciting time as we roll FlowOS to our client. We're a fast growing and diverse team of entrepreneurs, software engineers, data scientists and simulation experts, driven by a shared desire to improve the world around us, to bring something impactful and unique to market and to create a rewarding, fun working environment. Our culture is built around mutual respect, a drive to delight our customers and a passion for innovation. We value independent thinking, hard work and honesty. Your Role We would like you to help us bridge the front- and back-end of our product. On the front-end side, you will help us build browser-based interfaces that people will love interacting with for many hours every day.? On the backend side, you will create microservices that interface with or process complex, ever changing data. You will take a lead in designing, implementing, testing and deploying the front- and backend components of our products, working in a fast paced, iterative development process. You will have the freedom to determine the most appropriate tools and technologies needed to get the job done and influence the long term strategy for product engineering. You will be working within a cross-functional team where you will share responsibility for software development, integration and deployment process, ensuring the quality and reliability of the product. Over time, we are planning on growing a dedicated web development team that will take ownership of building robust, scalable, customer-facing software. Regardless of the team configuration, we would like to see you taking ownership and technical leadership. We offer in-house and external training opportunities and are keen to support the further career development of our employees. What we are looking for: Solid commercial experience in full-stack development of single-page and interactive web applications. We invite you to apply if you have 2+ years of experience; if you are more (or much more!) experienced than that, you can expect to be hired to a more senior role. Someone who is genuinely comfortable with both front- and backend work, and happy for the mix between the two to shift over time. Commercial experience with front-end Javascript framework(s) (eg. React, Angular or Vue). Commercial experience with Node.js. Experience with an OOP language, preferably Python. Experience working with RESTful interfaces. Strong grasp of web and distributed architecture. Understanding of client-side performance and cross browser compatibility. Experience using databases. Experience with testing framework(s), preferably with TDD/BDD. Self-starter who is able to take ownership of projects. You can offer your opinion and respectfully reason with people, but equally commit to the direction decided by the majority after being heard. Equal Opportunity We are passionate about excellence and continuously looking for powerful ideas, fresh perspectives and incredible talent in all directions. Prospective is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, or any other legally protected status. How to Apply To apply please, please click apply now. Please provide links to GitHub repository and/or a Portfolio, if you have them. Please note that appointment will be subject to standard pre-employment screening including right-to-work, proof of identity and references. Any personal data submitted as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation
Mar 19, 2021
Full time
Full Stack Engineer At Prospective, we combine distributed computing, simulation and machine learning to recreate the second by second dynamics of city transport networks. These mirror worlds give both people and autonomous agents the ability to foresee the near future of the flows of people, goods and vehicles in the environment around them and adjust their behaviour accordingly. Using this technology, we are currently building FlowOS, a system that combines a powerful but beautiful Optimisation as a Service for public transport, and a real-time autonomous dispatch system. FlowOS is being adopted by some of the biggest public transport operators in Europe to streamline both planning and day to day transit operations. We are looking for a great full stack developer to join us at an exciting time as we roll FlowOS to our client. We're a fast growing and diverse team of entrepreneurs, software engineers, data scientists and simulation experts, driven by a shared desire to improve the world around us, to bring something impactful and unique to market and to create a rewarding, fun working environment. Our culture is built around mutual respect, a drive to delight our customers and a passion for innovation. We value independent thinking, hard work and honesty. Your Role We would like you to help us bridge the front- and back-end of our product. On the front-end side, you will help us build browser-based interfaces that people will love interacting with for many hours every day.? On the backend side, you will create microservices that interface with or process complex, ever changing data. You will take a lead in designing, implementing, testing and deploying the front- and backend components of our products, working in a fast paced, iterative development process. You will have the freedom to determine the most appropriate tools and technologies needed to get the job done and influence the long term strategy for product engineering. You will be working within a cross-functional team where you will share responsibility for software development, integration and deployment process, ensuring the quality and reliability of the product. Over time, we are planning on growing a dedicated web development team that will take ownership of building robust, scalable, customer-facing software. Regardless of the team configuration, we would like to see you taking ownership and technical leadership. We offer in-house and external training opportunities and are keen to support the further career development of our employees. What we are looking for: Solid commercial experience in full-stack development of single-page and interactive web applications. We invite you to apply if you have 2+ years of experience; if you are more (or much more!) experienced than that, you can expect to be hired to a more senior role. Someone who is genuinely comfortable with both front- and backend work, and happy for the mix between the two to shift over time. Commercial experience with front-end Javascript framework(s) (eg. React, Angular or Vue). Commercial experience with Node.js. Experience with an OOP language, preferably Python. Experience working with RESTful interfaces. Strong grasp of web and distributed architecture. Understanding of client-side performance and cross browser compatibility. Experience using databases. Experience with testing framework(s), preferably with TDD/BDD. Self-starter who is able to take ownership of projects. You can offer your opinion and respectfully reason with people, but equally commit to the direction decided by the majority after being heard. Equal Opportunity We are passionate about excellence and continuously looking for powerful ideas, fresh perspectives and incredible talent in all directions. Prospective is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, or any other legally protected status. How to Apply To apply please, please click apply now. Please provide links to GitHub repository and/or a Portfolio, if you have them. Please note that appointment will be subject to standard pre-employment screening including right-to-work, proof of identity and references. Any personal data submitted as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation