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.
Apr 17, 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.
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Apr 17, 2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Apr 17, 2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
JOB DESCRIPTION If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorgan Chase within Global Finance Technology, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Advises cross-functional teams on technological matters within your domain of expertise Serves as the function's go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Champions the firm's culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Extensive development experience using Java/Scala Demonstrated experience building distributed computing applications using Big Data Frameworks like Hadoop, Spark and/or Databricks Deep experience using and coding on big data frameworks like Hadoop, Spark and/or Kafka Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in object oriented and/or functional programming language(s) Understanding of Public Cloud technologies and experience building cloud native applications Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to present and effectively communicate to Senior Business and Technology Executives along with Engineers at all levels Preferred qualifications, capabilities, and skills Demonstrated experience with cloud technologies like AWS, GCP or Azure Domain knowledge of the financial services industry with focus on building data pipelines for financial reporting Expertise in software engineering practices like TDD, ATDD, BDD, Pair Programming ABOUT US JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Apr 17, 2024
Full time
JOB DESCRIPTION If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorgan Chase within Global Finance Technology, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Advises cross-functional teams on technological matters within your domain of expertise Serves as the function's go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Champions the firm's culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Extensive development experience using Java/Scala Demonstrated experience building distributed computing applications using Big Data Frameworks like Hadoop, Spark and/or Databricks Deep experience using and coding on big data frameworks like Hadoop, Spark and/or Kafka Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in object oriented and/or functional programming language(s) Understanding of Public Cloud technologies and experience building cloud native applications Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to present and effectively communicate to Senior Business and Technology Executives along with Engineers at all levels Preferred qualifications, capabilities, and skills Demonstrated experience with cloud technologies like AWS, GCP or Azure Domain knowledge of the financial services industry with focus on building data pipelines for financial reporting Expertise in software engineering practices like TDD, ATDD, BDD, Pair Programming ABOUT US JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer - the environment: Senior ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Apr 16, 2024
Full time
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer - the environment: Senior ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Principal Data Consultant - Graph & Semantics Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Role Description Financial services firms have significant challenges and great opportunities to manage and exploit data - their own and new big data sets. Their ability to compete, to comply, and to transform is tied to their ability to unlock hidden links between data scattered around various data silos and extract value from it. Next generation tools in the industry will include AI systems powered by knowledge graphs - able to handle complexity and ensure that the answers they provide have context and can be explained. Graph and Semantic Engineering are emerging enterprise data technologies that leverage ontologies and related advanced analytics - including artificial intelligence - to build and represent knowledge in expressive and novel ways. Capco's clients are beginning to exploit this paradigm shift - a shift in how highly variable structured and unstructured information is linked - to building knowledge that can be meaningfully understood by people and machines. Primary responsibility in this role is to help clients succeed by understanding, exploiting, designing, and implementing solutions involving graph and semantic technologies - including advanced data management and analytics, and other innovative new ways. Other responsibilities include growing the Data Practice domain in scale and capability - applying an entrepreneurial mindset to build upon Capco established capabilities and relationships - maintaining thought leadership in how graph is applied today, and where future strategies could lead. This will involve: Shaping and executing the hiring strategy and developing the best of in-house talent. Leading the development and proposition of innovative solutions as Capco expands its engagement with clients interested in exploring the capabilities and advantages of Semantic Graph Technologies. In the fast-changing landscape of potential partners in graph technology, an ongoing curiosity and developing connections with key partners, will enable valuable support for clients. Skills & Expertise Graph and Semantic Senior Data Consultantswill require multi-disciplinary capabilities required to explain, design, and deliver powerful knowledge graph models - a good balance of business and technical understanding 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data Proficiency in at least one of the following languages: Python, Java, C-based languages Has working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé,Poolparty Has worked on multiple use cases for these technologies, and is able to transform client use cases into graph-based solutions efficiently Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualisation. Has managed technology projects with a sizeable amount of data Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career Other desired skills: Experience in the financial services domain is a great advantage Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming Understanding of data management and governance toolsets and methodologies Why Join Capco? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture
Apr 15, 2024
Full time
Principal Data Consultant - Graph & Semantics Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Role Description Financial services firms have significant challenges and great opportunities to manage and exploit data - their own and new big data sets. Their ability to compete, to comply, and to transform is tied to their ability to unlock hidden links between data scattered around various data silos and extract value from it. Next generation tools in the industry will include AI systems powered by knowledge graphs - able to handle complexity and ensure that the answers they provide have context and can be explained. Graph and Semantic Engineering are emerging enterprise data technologies that leverage ontologies and related advanced analytics - including artificial intelligence - to build and represent knowledge in expressive and novel ways. Capco's clients are beginning to exploit this paradigm shift - a shift in how highly variable structured and unstructured information is linked - to building knowledge that can be meaningfully understood by people and machines. Primary responsibility in this role is to help clients succeed by understanding, exploiting, designing, and implementing solutions involving graph and semantic technologies - including advanced data management and analytics, and other innovative new ways. Other responsibilities include growing the Data Practice domain in scale and capability - applying an entrepreneurial mindset to build upon Capco established capabilities and relationships - maintaining thought leadership in how graph is applied today, and where future strategies could lead. This will involve: Shaping and executing the hiring strategy and developing the best of in-house talent. Leading the development and proposition of innovative solutions as Capco expands its engagement with clients interested in exploring the capabilities and advantages of Semantic Graph Technologies. In the fast-changing landscape of potential partners in graph technology, an ongoing curiosity and developing connections with key partners, will enable valuable support for clients. Skills & Expertise Graph and Semantic Senior Data Consultantswill require multi-disciplinary capabilities required to explain, design, and deliver powerful knowledge graph models - a good balance of business and technical understanding 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data Proficiency in at least one of the following languages: Python, Java, C-based languages Has working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé,Poolparty Has worked on multiple use cases for these technologies, and is able to transform client use cases into graph-based solutions efficiently Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualisation. Has managed technology projects with a sizeable amount of data Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career Other desired skills: Experience in the financial services domain is a great advantage Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming Understanding of data management and governance toolsets and methodologies Why Join Capco? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture
Michael Page Technology
Burton-on-trent, Staffordshire
This Global Pharmaceutical Services provider are looking for a Data Engineer to work within their growing Business Intelligence technical service function. You will be supporting the technical development of their cloud data platforms, offering the options for near real time process reporting solutions. Client Details Global Pharmaceutical Services provider Description This Global Pharmaceutical Services provider are looking for a Data Engineer to work within their growing Business Intelligence technical service function. You will be supporting the technical development of their cloud data platforms, offering the options for near real time process reporting solutions. You will work on designing and developing their company data acquisition strategy allowing for near real time process reporting and full support of contractual reporting to customers. Key Responsibilities: Monitor and maintain ETL processes to ensure the continuation of an accurate data reporting platform for the business. Explore solutions for optimising the performance of the strategic data platform pipelines, following development design principles Develop and scale the cloud data platforms utilising CI / CD pipelines and Terraform. Help identify and implement the approach to data modelling our business processes in a manner that allows for agile implementation and improvement. Technical implementation of process protocols, quality measures and outcome definitions that allow us to use our data as Real-World evidence. Work with the analytics team to understand and build solutions that combine internal insight, patient outcomes, and external data feeds - creating an opportunity to explore big data and machine learning algorithms. Support the implementation of the security controls that ensure patient data privacy and full compliance with the Data Protection Act / GDPR Help develop and implement the strategic data platform for insights including support to NHS National KPIs and standard operational/financial reporting, Standard Pharma Offerings, Bespoke Customer Solutions, Commercial/Financial Analytics/Planning and Internal Self-Service reporting. Identify key processes where BI can link our business operations with our patients. Help develop and implement the data acquisition strategy ensuring that data is available when needed, accurate and understood. Key Technical Skills required: Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses / Lakehouses. Experience of working with business data domains / data as a product (Data Mesh). Metadata management / Data quality Profile Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses / Lakehouses. Experience of working with business data domains / data as a product (Data Mesh). Metadata management / Data quality Job Offer Opportunity to work on a major Data Engineering programme Opportunity to work with a global organisation
Apr 15, 2024
Full time
This Global Pharmaceutical Services provider are looking for a Data Engineer to work within their growing Business Intelligence technical service function. You will be supporting the technical development of their cloud data platforms, offering the options for near real time process reporting solutions. Client Details Global Pharmaceutical Services provider Description This Global Pharmaceutical Services provider are looking for a Data Engineer to work within their growing Business Intelligence technical service function. You will be supporting the technical development of their cloud data platforms, offering the options for near real time process reporting solutions. You will work on designing and developing their company data acquisition strategy allowing for near real time process reporting and full support of contractual reporting to customers. Key Responsibilities: Monitor and maintain ETL processes to ensure the continuation of an accurate data reporting platform for the business. Explore solutions for optimising the performance of the strategic data platform pipelines, following development design principles Develop and scale the cloud data platforms utilising CI / CD pipelines and Terraform. Help identify and implement the approach to data modelling our business processes in a manner that allows for agile implementation and improvement. Technical implementation of process protocols, quality measures and outcome definitions that allow us to use our data as Real-World evidence. Work with the analytics team to understand and build solutions that combine internal insight, patient outcomes, and external data feeds - creating an opportunity to explore big data and machine learning algorithms. Support the implementation of the security controls that ensure patient data privacy and full compliance with the Data Protection Act / GDPR Help develop and implement the strategic data platform for insights including support to NHS National KPIs and standard operational/financial reporting, Standard Pharma Offerings, Bespoke Customer Solutions, Commercial/Financial Analytics/Planning and Internal Self-Service reporting. Identify key processes where BI can link our business operations with our patients. Help develop and implement the data acquisition strategy ensuring that data is available when needed, accurate and understood. Key Technical Skills required: Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses / Lakehouses. Experience of working with business data domains / data as a product (Data Mesh). Metadata management / Data quality Profile Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL/ELTL design and development experience. Microsoft DevOps source control software and development lifecycle software Developing and maintaining objects within Data Warehouses / Lakehouses. Experience of working with business data domains / data as a product (Data Mesh). Metadata management / Data quality Job Offer Opportunity to work on a major Data Engineering programme Opportunity to work with a global organisation
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
Apr 15, 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
About Us: We are a cutting-edge global marketing agency specializing in the entertainment, gaming, culture, lifestyle, travel, and hospitality sectors. Our mission is to redefine the intersection of marketing and technology, creating unparalleled value through innovative products. With a strong focus on leveraging proprietary data, automation, and AI tools, we aim to transform not only our internal efficiencies but also provide our clients with groundbreaking SaaS platforms. Position Overview: As the Vice President of Product, you will architect our proprietary technology solutions, including the data, automation, and AI platforms that power our global services and solutions. This role entails overseeing all aspects of product management, engineering, data science, and technical design. By leading the strategy, development, and deployment of both internal tools and external products, you play a crucial part in driving innovation and differentiation for our agency and our clients. We seek a visionary who not only guides but also actively contributes to the creation and development of our products. This is a unique opportunity that blends strategic oversight with hands-on involvement in day-to-day operations. This role will work hand in hand with our Chief Strategy Officer (CSO), as well as various teams across creative, earned media, owned media and paid media. Key Responsibilities: Spearhead the continual development and deployment of updates across our suite of proprietary marketing technologies encompassing solutions for content creation, insights & analysis, strategy & planning and audiences & channels. With new products, work directly with the CSO on the entire product lifecycle from conception through launch, applying structured experimentation to validate new opportunities and ensuring products meet market needs. You will not only work on strategic direction for our suite of technologies but also roll up your sleeves and dive into the work alongside a small team. This involves directly engaging in product design, development, and iteration processes. Collaborate cross-functionally to understand market needs, ensuring our products align with the strategic goals and deliver exceptional value. Analyse product metrics, translating analytics into actionable insights for product optimization and innovation. Serve as a thought leader within the organization, keeping abreast of the latest trends and technologies in AI, machine learning, marketing services and creative content generation. Qualifications: 10+ years of experience in product management, with a proven track record in developing technology-driven products, preferably within the marketing, data, AI, and/or SaaS domains. Demonstrated experience in navigating the technical and strategic challenges associated with delivering innovative products that leverage big data analytics, machine learning, and other AI-driven solutions. Exceptional leadership and communication abilities, including excellent verbal and written English-language skills. Strategic thinker with excellent analytical skills, adept at turning complex concepts into actionable plans and leading products from ideation to launch. Ability to effectively engage with technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Engineering, Business, Marketing, or a related field is preferred. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and their AI/ML offerings and services. Strong background in software engineering and system architecture. Proficiency in programming languages such as HTML, CSS, Python, PHP, Javascript, SQL, or similar. Knowledge of data engineering principles, big data technologies (e.g., BigQuery, Fabric), and data pipelines for AI applications. Extensive experience in leading the development and commercialization of web-apps, products and solutions, from ideation to launch. Benefits: This position is eligible to participate in the standard benefits offered to UK employees of Allied Global Marketing, which includes heath, life, critical illness and income protection, and retirement plan with employer contribution.
Apr 15, 2024
Full time
About Us: We are a cutting-edge global marketing agency specializing in the entertainment, gaming, culture, lifestyle, travel, and hospitality sectors. Our mission is to redefine the intersection of marketing and technology, creating unparalleled value through innovative products. With a strong focus on leveraging proprietary data, automation, and AI tools, we aim to transform not only our internal efficiencies but also provide our clients with groundbreaking SaaS platforms. Position Overview: As the Vice President of Product, you will architect our proprietary technology solutions, including the data, automation, and AI platforms that power our global services and solutions. This role entails overseeing all aspects of product management, engineering, data science, and technical design. By leading the strategy, development, and deployment of both internal tools and external products, you play a crucial part in driving innovation and differentiation for our agency and our clients. We seek a visionary who not only guides but also actively contributes to the creation and development of our products. This is a unique opportunity that blends strategic oversight with hands-on involvement in day-to-day operations. This role will work hand in hand with our Chief Strategy Officer (CSO), as well as various teams across creative, earned media, owned media and paid media. Key Responsibilities: Spearhead the continual development and deployment of updates across our suite of proprietary marketing technologies encompassing solutions for content creation, insights & analysis, strategy & planning and audiences & channels. With new products, work directly with the CSO on the entire product lifecycle from conception through launch, applying structured experimentation to validate new opportunities and ensuring products meet market needs. You will not only work on strategic direction for our suite of technologies but also roll up your sleeves and dive into the work alongside a small team. This involves directly engaging in product design, development, and iteration processes. Collaborate cross-functionally to understand market needs, ensuring our products align with the strategic goals and deliver exceptional value. Analyse product metrics, translating analytics into actionable insights for product optimization and innovation. Serve as a thought leader within the organization, keeping abreast of the latest trends and technologies in AI, machine learning, marketing services and creative content generation. Qualifications: 10+ years of experience in product management, with a proven track record in developing technology-driven products, preferably within the marketing, data, AI, and/or SaaS domains. Demonstrated experience in navigating the technical and strategic challenges associated with delivering innovative products that leverage big data analytics, machine learning, and other AI-driven solutions. Exceptional leadership and communication abilities, including excellent verbal and written English-language skills. Strategic thinker with excellent analytical skills, adept at turning complex concepts into actionable plans and leading products from ideation to launch. Ability to effectively engage with technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Engineering, Business, Marketing, or a related field is preferred. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and their AI/ML offerings and services. Strong background in software engineering and system architecture. Proficiency in programming languages such as HTML, CSS, Python, PHP, Javascript, SQL, or similar. Knowledge of data engineering principles, big data technologies (e.g., BigQuery, Fabric), and data pipelines for AI applications. Extensive experience in leading the development and commercialization of web-apps, products and solutions, from ideation to launch. Benefits: This position is eligible to participate in the standard benefits offered to UK employees of Allied Global Marketing, which includes heath, life, critical illness and income protection, and retirement plan with employer contribution.
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
Apr 14, 2024
Full time
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
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.
Apr 12, 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.
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
Apr 12, 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
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Apr 11, 2024
Full time
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Job Role Are you passionate about working with cutting-edge technology and self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Software Engineer. As a key member of a Software Engineering team, you'll be working with our National Security Customers to build systems that support their core mission capabilities. You'll work as part of empowered, autonomous DevOps teams with regular contact with end-users to flexibly and efficiently understand, design, develop, deploy and maintain applications and services. You'll be encouraged to identify new ways of solving problems and get to work in a range of different teams across our customer organisations. You will work in a small team given as much ownership and responsibility as you have the appetite for but part of a much bigger Engineering community to give you the support you need to grow in your career. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore value Engineers who enjoy playing a role in the full delivery lifecycle and are flexible to learn and pick up new technologies and approaches. You'll be playing a role in identifying the right technologies to use for the job and be supported with training as needed through access to services such as Pluralsight. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes Continual testing of code using Automated Testing Frameworks Ensuring code consistency and quality by utilising static code analysis tools e.g. SonarQube Team working inside an agile environment e.g. Scrum, Lean, Kanban Common software design patterns Using precedent and your own creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA For more information please visit our website: Help us secure a connected world. Apply now and be inspired. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance wellbeing. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. About BAE Systems Digital Intelligence We use our intelligence-led insights to help defend Governments, Nations and Societies from cyber-attacks and financial crime. Our customers depend on our evolving capabilities to help them safely grow their organisations. Our unprecedented access to threat intelligence, world-leading analysts and market-leading technology means we can help them to adapt, evolve and stay ahead of the criminals.
Sep 23, 2022
Full time
Job Role Are you passionate about working with cutting-edge technology and self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Software Engineer. As a key member of a Software Engineering team, you'll be working with our National Security Customers to build systems that support their core mission capabilities. You'll work as part of empowered, autonomous DevOps teams with regular contact with end-users to flexibly and efficiently understand, design, develop, deploy and maintain applications and services. You'll be encouraged to identify new ways of solving problems and get to work in a range of different teams across our customer organisations. You will work in a small team given as much ownership and responsibility as you have the appetite for but part of a much bigger Engineering community to give you the support you need to grow in your career. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore value Engineers who enjoy playing a role in the full delivery lifecycle and are flexible to learn and pick up new technologies and approaches. You'll be playing a role in identifying the right technologies to use for the job and be supported with training as needed through access to services such as Pluralsight. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes Continual testing of code using Automated Testing Frameworks Ensuring code consistency and quality by utilising static code analysis tools e.g. SonarQube Team working inside an agile environment e.g. Scrum, Lean, Kanban Common software design patterns Using precedent and your own creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA For more information please visit our website: Help us secure a connected world. Apply now and be inspired. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance wellbeing. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. About BAE Systems Digital Intelligence We use our intelligence-led insights to help defend Governments, Nations and Societies from cyber-attacks and financial crime. Our customers depend on our evolving capabilities to help them safely grow their organisations. Our unprecedented access to threat intelligence, world-leading analysts and market-leading technology means we can help them to adapt, evolve and stay ahead of the criminals.
Applied Scientist, SCOT IPC SimJob ID: Amazon UK Services Ltd.Job summary This job opportunity requires relocation to UK - opening is available in London or Cambridge. Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on ( ) worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day. Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT - ) group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the IPC Sim (Inventory Planning and Control Simulation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning. Amazon's Cambridge UK based Simulation team is looking for an experienced and passionate Applied Scientist (AS) to join our fast-paced stimulating environment, to help invent the future of retail with technology. The Inventory Panning and Control (IPC) Simulation team is part of the Supply Chain Optimization Technologies (SCOT) organization. The charter of the SCOT team is to maximize Amazon's return on our inventory investment in terms of Free Cash Flow, and customer satisfaction. We accomplish this by applying simulation, advanced statistical methods, and empirical analysis to predict and evaluate Amazon's inventory needs. The IPC Sim team builds systems that allow SCOT to answer "what if?" questions about our supply chain, our fulfilment network, and our customers. This puts the IPC Sim team at the nexus of operations, logistics, capacity planning, and our retail business teams. To learn more about Supply Chain Optimization Technologies (SCOT) at Amazon, watch this amazing video: To learn more about the work of the team read this blog post: As an Applied Scientist you will design and develop new machine learning methods that will form the backbone of the simulation and experimentation systems that drive Amazon's retail business forward. You will have access to large datasets with billions of orders and products to build large-scale machine learning systems. Areas of work in this domain include probabilistic modelling, emulation using Gaussian processes, Bayesian optimization and probabilistic numerics, statistical analysis of computer experiments, adaptive experimental design and causal inference. You will work with Researchers, Data Scientists, Data Engineers, Software Engineers, and Product Managers across multiple teams. Successful outstanding candidates will bring strong technical and analytical abilities, combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership, and a drive, to solve some of the most challenging data and engineering problems in retail. Amazon is an Equal Opportunity - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. BASIC QUALIFICATIONS Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline ( physics, maths, engineering). Completed PhD in machine learning or statistics or equivalent experience. Ability to communicate scientific results and ideas in writing, as evidenced by papers in top machine learning conferences (NeurIPS, ICML, AISTATS, etc) and/or statistical journals (JASA, Annals of statistics, etc) Strong verbal and written communication skills and an ability to work in a team environment Proven hands-on experience in predictive modelling and analysis. 4+ years of experience using scripting languages ( Python) PREFERRED QUALIFICATIONS Expertise in Bayesian computation, Gaussian processes, kernel methods, surrogate modelling (emulation), optimisation, experimental design. Experience in python's machine learning and data science stack (tensorflow/pytorch/mxnet, numpy, pandas, matplotlib, scikit-learn, etc). Ability to convey rigorous mathematical concepts and considerations to non-experts. Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives. Strong software development skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
Sep 23, 2022
Full time
Applied Scientist, SCOT IPC SimJob ID: Amazon UK Services Ltd.Job summary This job opportunity requires relocation to UK - opening is available in London or Cambridge. Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on ( ) worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day. Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT - ) group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the IPC Sim (Inventory Planning and Control Simulation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives, as well as predicting inventory flows for labor planning. Amazon's Cambridge UK based Simulation team is looking for an experienced and passionate Applied Scientist (AS) to join our fast-paced stimulating environment, to help invent the future of retail with technology. The Inventory Panning and Control (IPC) Simulation team is part of the Supply Chain Optimization Technologies (SCOT) organization. The charter of the SCOT team is to maximize Amazon's return on our inventory investment in terms of Free Cash Flow, and customer satisfaction. We accomplish this by applying simulation, advanced statistical methods, and empirical analysis to predict and evaluate Amazon's inventory needs. The IPC Sim team builds systems that allow SCOT to answer "what if?" questions about our supply chain, our fulfilment network, and our customers. This puts the IPC Sim team at the nexus of operations, logistics, capacity planning, and our retail business teams. To learn more about Supply Chain Optimization Technologies (SCOT) at Amazon, watch this amazing video: To learn more about the work of the team read this blog post: As an Applied Scientist you will design and develop new machine learning methods that will form the backbone of the simulation and experimentation systems that drive Amazon's retail business forward. You will have access to large datasets with billions of orders and products to build large-scale machine learning systems. Areas of work in this domain include probabilistic modelling, emulation using Gaussian processes, Bayesian optimization and probabilistic numerics, statistical analysis of computer experiments, adaptive experimental design and causal inference. You will work with Researchers, Data Scientists, Data Engineers, Software Engineers, and Product Managers across multiple teams. Successful outstanding candidates will bring strong technical and analytical abilities, combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership, and a drive, to solve some of the most challenging data and engineering problems in retail. Amazon is an Equal Opportunity - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. BASIC QUALIFICATIONS Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline ( physics, maths, engineering). Completed PhD in machine learning or statistics or equivalent experience. Ability to communicate scientific results and ideas in writing, as evidenced by papers in top machine learning conferences (NeurIPS, ICML, AISTATS, etc) and/or statistical journals (JASA, Annals of statistics, etc) Strong verbal and written communication skills and an ability to work in a team environment Proven hands-on experience in predictive modelling and analysis. 4+ years of experience using scripting languages ( Python) PREFERRED QUALIFICATIONS Expertise in Bayesian computation, Gaussian processes, kernel methods, surrogate modelling (emulation), optimisation, experimental design. Experience in python's machine learning and data science stack (tensorflow/pytorch/mxnet, numpy, pandas, matplotlib, scikit-learn, etc). Ability to convey rigorous mathematical concepts and considerations to non-experts. Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives. Strong software development skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: · PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: · NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience · Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Feb 22, 2022
Full time
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: · PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: · NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience · Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
JOB AD: Key Responsibilities: · Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy · Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation · Dataset acquisition · Build models with novelty, applicability, and practicality in mind · Model evaluation and iteration · Navigate ambiguity that might occur in the projects or relationship with stakeholders · Building a demonstration system to showcase the value of strength · Write documentation, research papers, or patent application (whichever applicable) ·Position Requirements: · PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: · Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
Feb 22, 2022
Full time
JOB AD: Key Responsibilities: · Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy · Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation · Dataset acquisition · Build models with novelty, applicability, and practicality in mind · Model evaluation and iteration · Navigate ambiguity that might occur in the projects or relationship with stakeholders · Building a demonstration system to showcase the value of strength · Write documentation, research papers, or patent application (whichever applicable) ·Position Requirements: · PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) · Publication track records in top tier Computing/NLP/AI/ML conferences or journals · Passionate about data and machine learning · Programming experience in Python, R, C, or C++ · Software engineering background, e.g., you have a Computer Science background, or software engineering working experience · Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: · Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
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
The Oracle Cloud Infrastructure Object Storage service is an internet-scale, high-performance storage platform that offers reliable and cost-efficient data durability. We enable our customers to store an unlimited amount of unstructured data of any content type, including analytic data and rich content, like images and videos. Our customers can safely and securely store or retrieve data directly from the internet or from within the cloud platform. The elasticity of the platform lets you start small and scale seamlessly, without experiencing any degradation in performance or service reliability. We are currently looking for software development engineers to lead innovation and help us build the next generation of highly scalable systems. Cloud computing represents a fundamental shift in how businesses think about managing their information needs. While Object Storage has seen large growth over the past five years, we are still in the early stages of realizing its full potential. We seek smart, passionate and visionary people to help us define this exciting new technology. RESPONSIBILITIES · Designing, developing, testing and deploying globally distributed multi-tier services that delight our customers. · Monitoring and troubleshooting performance problems, networking, OS resources. · Interacting with key team stakeholders across Oracle. · Improving our software development tools and practices to maximize team potential. · Having fun as a member of our great team culture. BASIC QUALIFICATIONS · Bachelor's Degree in Computer Science or related field. · 2+ years of experience in software development. · Proficiency in at least one modern programming language. · Experience building scalable systems with service-oriented architectures. PREFERRED QUALIFICATIONS · A deep understanding of software engineering practices, object-oriented analysis &, patterns and algorithms. · Experience with telemetry, optimization, and/or machine learning. · Demonstrated strong technical judgment in conjunction with passionate customer-focus. · Excellent verbal and written communication skills. · Master's Degree in Computer Science or related field. · Experience delivering cloud services will be a plus. · Passion for software innovation. Solve complex problems related to infrastructure cloud services and build automation to prevent problem recurrence. Design, write, and deploy software to improve the availability, scalability, and efficiency of Oracle products and services. Design and develop designs, architectures, standards, and methods for large-scale distributed systems. Facilitate service capacity planning and demand forecasting, software performance analysis, and system tuning. Work with Site Reliability Engineering (SRE) team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services. Responsible for the design and delivery of the mission critical stack, with focus on security, resiliency, scale, and performance. Authority for end-to-end performance and operability. Partner with development teams in defining and implementing improvements in service architecture. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilize a deep understanding of service topology and their dependencies required to troubleshoot issues and define mitigations. Understand and explain the affect of product architecture decisions on distributed systems. Professional curiosity and a desire to a develop deep understanding of services and technologies. A BS or MS in Computer Science, or equivalent. Solid knowledge of server hardware and software configuration, networking, standard internet services, scripting languages, cloud computing patterns, technology security and compliance. Experience running large scale customer facing web services. Solid understanding of load balancing technologies and experience with development in programming languages, databases and big data stores, and container technologies. Work involves defining and documenting technical architecture of complex and highly scalable products. A minimum of 2 years experience. As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).
Jan 27, 2021
Full time
The Oracle Cloud Infrastructure Object Storage service is an internet-scale, high-performance storage platform that offers reliable and cost-efficient data durability. We enable our customers to store an unlimited amount of unstructured data of any content type, including analytic data and rich content, like images and videos. Our customers can safely and securely store or retrieve data directly from the internet or from within the cloud platform. The elasticity of the platform lets you start small and scale seamlessly, without experiencing any degradation in performance or service reliability. We are currently looking for software development engineers to lead innovation and help us build the next generation of highly scalable systems. Cloud computing represents a fundamental shift in how businesses think about managing their information needs. While Object Storage has seen large growth over the past five years, we are still in the early stages of realizing its full potential. We seek smart, passionate and visionary people to help us define this exciting new technology. RESPONSIBILITIES · Designing, developing, testing and deploying globally distributed multi-tier services that delight our customers. · Monitoring and troubleshooting performance problems, networking, OS resources. · Interacting with key team stakeholders across Oracle. · Improving our software development tools and practices to maximize team potential. · Having fun as a member of our great team culture. BASIC QUALIFICATIONS · Bachelor's Degree in Computer Science or related field. · 2+ years of experience in software development. · Proficiency in at least one modern programming language. · Experience building scalable systems with service-oriented architectures. PREFERRED QUALIFICATIONS · A deep understanding of software engineering practices, object-oriented analysis &, patterns and algorithms. · Experience with telemetry, optimization, and/or machine learning. · Demonstrated strong technical judgment in conjunction with passionate customer-focus. · Excellent verbal and written communication skills. · Master's Degree in Computer Science or related field. · Experience delivering cloud services will be a plus. · Passion for software innovation. Solve complex problems related to infrastructure cloud services and build automation to prevent problem recurrence. Design, write, and deploy software to improve the availability, scalability, and efficiency of Oracle products and services. Design and develop designs, architectures, standards, and methods for large-scale distributed systems. Facilitate service capacity planning and demand forecasting, software performance analysis, and system tuning. Work with Site Reliability Engineering (SRE) team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services. Responsible for the design and delivery of the mission critical stack, with focus on security, resiliency, scale, and performance. Authority for end-to-end performance and operability. Partner with development teams in defining and implementing improvements in service architecture. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilize a deep understanding of service topology and their dependencies required to troubleshoot issues and define mitigations. Understand and explain the affect of product architecture decisions on distributed systems. Professional curiosity and a desire to a develop deep understanding of services and technologies. A BS or MS in Computer Science, or equivalent. Solid knowledge of server hardware and software configuration, networking, standard internet services, scripting languages, cloud computing patterns, technology security and compliance. Experience running large scale customer facing web services. Solid understanding of load balancing technologies and experience with development in programming languages, databases and big data stores, and container technologies. Work involves defining and documenting technical architecture of complex and highly scalable products. A minimum of 2 years experience. As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).