About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Mar 27, 2024
Full time
About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. The impact you will have: We're looking for an experienced Applied Scientist with expertise in synthetic data to join our Vision & Graphics team. You'll be at the forefront of advancing our innovative neural simulator, Ghost Gym , developing and applying groundbreaking research to generate thousands of simulated scenarios. These scenarios are critical for training, testing, and debugging our end-to-end AI driving models, contributing significantly to the creation of safe and reliable AI driving technology. You will play a crucial role in designing, developing, and deploying innovative AI models. You will focus on generating and utilizing synthetic data to train and validate our AI systems, ensuring they meet the highest standards of accuracy and reliability. Challenges you will own: Lead the development and implementation of synthetic data generation techniques to support the training and testing of AI models. Collaborate with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications. Apply state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data. Conduct rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance. Stay abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings into our workflows. This could involve opportunities to publish research findings in top-tier journals and conferences, contributing to the scientific community and establishing Wayve as a leader in the field. What you will bring: Must haves: Proven expertise in synthetic data generation and application in AI model training and testing. Strong foundation in machine learning, deep learning, and neural rendering techniques. Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch. Demonstrable experience with tools relevant to synthetic data generation. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable: Experience with dynamic scene reconstruction and rendering, particularly in outdoor environments. Familiarity with parallel computing, GPU programming, and optimization techniques. PhD or MSc in Computer Science, Computer Engineering, or a related field, with a focus on computer graphics, computer vision, or machine learning. Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Mar 26, 2024
Full time
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. The impact you will have: We're looking for an experienced Applied Scientist with expertise in synthetic data to join our Vision & Graphics team. You'll be at the forefront of advancing our innovative neural simulator, Ghost Gym , developing and applying groundbreaking research to generate thousands of simulated scenarios. These scenarios are critical for training, testing, and debugging our end-to-end AI driving models, contributing significantly to the creation of safe and reliable AI driving technology. You will play a crucial role in designing, developing, and deploying innovative AI models. You will focus on generating and utilizing synthetic data to train and validate our AI systems, ensuring they meet the highest standards of accuracy and reliability. Challenges you will own: Lead the development and implementation of synthetic data generation techniques to support the training and testing of AI models. Collaborate with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications. Apply state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data. Conduct rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance. Stay abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings into our workflows. This could involve opportunities to publish research findings in top-tier journals and conferences, contributing to the scientific community and establishing Wayve as a leader in the field. What you will bring: Must haves: Proven expertise in synthetic data generation and application in AI model training and testing. Strong foundation in machine learning, deep learning, and neural rendering techniques. Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch. Demonstrable experience with tools relevant to synthetic data generation. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable: Experience with dynamic scene reconstruction and rendering, particularly in outdoor environments. Familiarity with parallel computing, GPU programming, and optimization techniques. PhD or MSc in Computer Science, Computer Engineering, or a related field, with a focus on computer graphics, computer vision, or machine learning. Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. 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.
About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Mar 26, 2024
Full time
About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
We are thrilled to offer a new exciting opportunity working with our client who are a toxicology contract testing laboratory supporting pharmaceutical companies, vaccine researchers and manufacturers, biopharmaceutical startups and their investors as well as chemical and agrochemical manufacturers in the essential work of ensuring their products meet regulatory safety requirements. Job Summary An exciting opportunity exists for an experienced and qualified professional to join our regulatory toxicology laboratory in Gosport, near Portsmouth, as Quality Assurance Officer. This is a permanent full-time role with the option of occasional working from home. As the company grows and the QMS develops there is a great opportunity to get involved with Quality Process design to improve existing procedures with regards to lean working. You will be joining an independent contract testing laboratory at a time of significant growth, with a dynamic team that combines impeccable scientific credentials with a passion for animal welfare and implementation of the 3 Rs. The role The Quality Assurance Officer will provide guidance and support to the operational side of the business to ensure governance, compliance, operational performance, and continuous improvement as the company grows its portfolio of testing and analysis services. You will work alongside our team of scientists and technicians in a non-laboratory role under the guidance of the Quality Assurance Manager to ensure our in vivo toxicological assays and tests meet accepted published guidelines or sponsors protocols and are carried out in compliance with GMP regulations as well as the policies and procedures of our internal Quality Management System (QMS). Responsibilities QA review of inspection of procedures, protocols, reports, CofAs, study plans and other data across our laboratory and animal facilities to ensure that reported results from our studies are complete and accurate Managing the Supplier Approval programme Supporting the execution of all aspects of the QMS. This includes Change Control documentation, investigation reports associated with non-conformances, deviations, complaints or out of specification results, CAPAs, data integrity reviews and associated process maps Supporting external regulatory and client audits and reporting on these Executing internal audits Providing support and advice to other departments and clients on all aspects of Quality and compliance Providing advice, supervision, and assistance in training to laboratory staff on Quality related issues Other related duties as required and/or assigned Requirements Experience working within a GMP or similar regulated industry Knowledge of Quality Management principles, tools, and methodologies Experience of auditing desired but not mandatory Previous QA experience desired but not mandatory Ability to work unsupervised and independently in the production of written reports, policies and protocols Excellent time management, accurate record keeping and computer literacy skills Strong communication skills and the ability to work effectively with stakeholders at various levels Benefits Auto enrolment pension scheme Life assurance Medical cash back scheme
Mar 23, 2024
Full time
We are thrilled to offer a new exciting opportunity working with our client who are a toxicology contract testing laboratory supporting pharmaceutical companies, vaccine researchers and manufacturers, biopharmaceutical startups and their investors as well as chemical and agrochemical manufacturers in the essential work of ensuring their products meet regulatory safety requirements. Job Summary An exciting opportunity exists for an experienced and qualified professional to join our regulatory toxicology laboratory in Gosport, near Portsmouth, as Quality Assurance Officer. This is a permanent full-time role with the option of occasional working from home. As the company grows and the QMS develops there is a great opportunity to get involved with Quality Process design to improve existing procedures with regards to lean working. You will be joining an independent contract testing laboratory at a time of significant growth, with a dynamic team that combines impeccable scientific credentials with a passion for animal welfare and implementation of the 3 Rs. The role The Quality Assurance Officer will provide guidance and support to the operational side of the business to ensure governance, compliance, operational performance, and continuous improvement as the company grows its portfolio of testing and analysis services. You will work alongside our team of scientists and technicians in a non-laboratory role under the guidance of the Quality Assurance Manager to ensure our in vivo toxicological assays and tests meet accepted published guidelines or sponsors protocols and are carried out in compliance with GMP regulations as well as the policies and procedures of our internal Quality Management System (QMS). Responsibilities QA review of inspection of procedures, protocols, reports, CofAs, study plans and other data across our laboratory and animal facilities to ensure that reported results from our studies are complete and accurate Managing the Supplier Approval programme Supporting the execution of all aspects of the QMS. This includes Change Control documentation, investigation reports associated with non-conformances, deviations, complaints or out of specification results, CAPAs, data integrity reviews and associated process maps Supporting external regulatory and client audits and reporting on these Executing internal audits Providing support and advice to other departments and clients on all aspects of Quality and compliance Providing advice, supervision, and assistance in training to laboratory staff on Quality related issues Other related duties as required and/or assigned Requirements Experience working within a GMP or similar regulated industry Knowledge of Quality Management principles, tools, and methodologies Experience of auditing desired but not mandatory Previous QA experience desired but not mandatory Ability to work unsupervised and independently in the production of written reports, policies and protocols Excellent time management, accurate record keeping and computer literacy skills Strong communication skills and the ability to work effectively with stakeholders at various levels Benefits Auto enrolment pension scheme Life assurance Medical cash back scheme
We are currently recruiting for Specialist Biomedical Scientists to join our fast paced and dynamic Biochemistry Laboratory. Our team at Southwest Pathology Services have been fundamental to the principle of making a positive difference to healthcare within Somerset for nearly 10 years and we have a fantastic opportunity for a Specialist Biomedical Scientist to work within our Blood Sciences team. Our Laboratory holds ISO15189 UKAS accreditation and is an HCPC approved training laboratory. SYNLAB UK & Ireland have extensive experience of working in partnership with the NHS to deliver and improve pathology services through its existing pathology joint ventures - including Southwest Pathology Services (SPS). Job role: Ideal applicant must be able to rotate through all areas of a Laboratory as required (dependent on qualifications, experience and training) and to perform all designated duties in accordance with local working practices. You will need to maintain high Professional standards and conform to Health and Safety regulations and need to participate in provision of a routine 24/7 Blood Sciences service at ESLs. As a specialist Biomedical Scientist you will perform and interpret routine and specialist Biomedical investigations autonomously to provide patients results within agreed quality standards of service delivery and turnaround times under the supervision of senior staff. You will need to work independently, implement and propose changes to procedures for own work area. May be a lead specialist. You will be expected to provide professional leadership and training to Basic Grade, Trainee BMS, Associate Practitioners (equivalent grades) and Medical Laboratory Assistants. You will need to provide technical advice to clinicians as to the appropriateness of tests and timescales and maintain the standards of conduct required by the Health Professions Council to practice as a registered Biomedical Scientist. You will be expected to continue with personal development through academic and/or practical experience. Analysers: Biochemistry- Beckman Coulter DXC700AU, Beckman Coulter Access 2 immunoassay, Advanced Instruments model 3320 micro Osmometer and Thermo Evolution 200 spectrophotometer (CSF Xanthachromia) Duties: Participate in and assist with clinical trials, the development of new tests and research & validation of equipment ensuring at all times compliance with all policies as required by regulatory directives, accreditation bodies and local management policies and practices. Provide technical advice to clinical staff. To perform and interpret routine and specialist Biomedical investigations and to participate daily in the scientific and technical activities of the laboratory section under the supervision of senior staff. Together with Senior staff help ensure compliance with all policies as required by regulatory directives, accreditation bodies and local management Utilise the laboratory LIMS, Q-Pulse quality monitoring system and other application software according to authorised protocols including assisting in computer data entry in all areas of the laboratory, document review, non-conformance review and quality assurance processes. As directed by senior laboratory staff, plan and prioritise work allocations, training plans, audits of both yourself and junior staff, responding appropriately to the needs of routine and urgent activities. Demonstrate on going competency against training plans and participate positively in CPD (continuous professional development) activities. Qualifications/Experience: HCPC State Registration as a Biomedical Scientist BSc (Hons) Biomedical degree or equivalent. IBMS Specialist Portfolio or equivalent in Biochemistry EDCL or equivalent IT qualification At least 2 years relevant experience post HCPC registration as a BMS with on-going specialist training NHS experience At SYNLAB, we believe in nurturing a culture of well-being and ensuring our employees are supported both professionally and personally. That's why we're thrilled to offer an exhilarating rewards package, including our incredible Wellbeing Allowance worth up to 1500 per annum for our esteemed team members working in Band 2 - 6 roles. Additionally, for band 5 & 6 roles, where night shift is part of the role requirements, you will receive enhanced night shift payment. About Us SYNLAB UK & Ireland work closely with clinicians, hospitals, occupational health providers and clinical researchers to provide a complete pathology offering. We operate in increasingly diverse environments which is reflected in our workforce, clients, customers, suppliers, communities and partners. We believe an inclusive workplace culture is the best way to source, attract and retain diverse and talented people, and create a sustainable, high-performing workforce. We believe our staff is vital to the principle of making a positive difference to healthcare, therefore, we promote a culture of continuous personal development where scientists and staff have the support and resources to acquire new skills and build their careers through learning and development opportunities, coaching and clear career pathways. We promote an open and collaborative culture where leaders act as role models and facilitate a two-way communication, engage with staff and stakeholders transparently and actively encourage feedback and suggestions. Please note that we reserve the right to close any adverts once we have received a sufficient number of applications. If you decide to apply for this post but do not hear back from us within two weeks of your application, please assume that you have not been short-listed on this occasion. SYNLAB UK & Ireland is a committed equal opportunities employer and does not unlawfully discriminate on the basis of any status or condition protected by applicable UK employment law.
Mar 23, 2024
Full time
We are currently recruiting for Specialist Biomedical Scientists to join our fast paced and dynamic Biochemistry Laboratory. Our team at Southwest Pathology Services have been fundamental to the principle of making a positive difference to healthcare within Somerset for nearly 10 years and we have a fantastic opportunity for a Specialist Biomedical Scientist to work within our Blood Sciences team. Our Laboratory holds ISO15189 UKAS accreditation and is an HCPC approved training laboratory. SYNLAB UK & Ireland have extensive experience of working in partnership with the NHS to deliver and improve pathology services through its existing pathology joint ventures - including Southwest Pathology Services (SPS). Job role: Ideal applicant must be able to rotate through all areas of a Laboratory as required (dependent on qualifications, experience and training) and to perform all designated duties in accordance with local working practices. You will need to maintain high Professional standards and conform to Health and Safety regulations and need to participate in provision of a routine 24/7 Blood Sciences service at ESLs. As a specialist Biomedical Scientist you will perform and interpret routine and specialist Biomedical investigations autonomously to provide patients results within agreed quality standards of service delivery and turnaround times under the supervision of senior staff. You will need to work independently, implement and propose changes to procedures for own work area. May be a lead specialist. You will be expected to provide professional leadership and training to Basic Grade, Trainee BMS, Associate Practitioners (equivalent grades) and Medical Laboratory Assistants. You will need to provide technical advice to clinicians as to the appropriateness of tests and timescales and maintain the standards of conduct required by the Health Professions Council to practice as a registered Biomedical Scientist. You will be expected to continue with personal development through academic and/or practical experience. Analysers: Biochemistry- Beckman Coulter DXC700AU, Beckman Coulter Access 2 immunoassay, Advanced Instruments model 3320 micro Osmometer and Thermo Evolution 200 spectrophotometer (CSF Xanthachromia) Duties: Participate in and assist with clinical trials, the development of new tests and research & validation of equipment ensuring at all times compliance with all policies as required by regulatory directives, accreditation bodies and local management policies and practices. Provide technical advice to clinical staff. To perform and interpret routine and specialist Biomedical investigations and to participate daily in the scientific and technical activities of the laboratory section under the supervision of senior staff. Together with Senior staff help ensure compliance with all policies as required by regulatory directives, accreditation bodies and local management Utilise the laboratory LIMS, Q-Pulse quality monitoring system and other application software according to authorised protocols including assisting in computer data entry in all areas of the laboratory, document review, non-conformance review and quality assurance processes. As directed by senior laboratory staff, plan and prioritise work allocations, training plans, audits of both yourself and junior staff, responding appropriately to the needs of routine and urgent activities. Demonstrate on going competency against training plans and participate positively in CPD (continuous professional development) activities. Qualifications/Experience: HCPC State Registration as a Biomedical Scientist BSc (Hons) Biomedical degree or equivalent. IBMS Specialist Portfolio or equivalent in Biochemistry EDCL or equivalent IT qualification At least 2 years relevant experience post HCPC registration as a BMS with on-going specialist training NHS experience At SYNLAB, we believe in nurturing a culture of well-being and ensuring our employees are supported both professionally and personally. That's why we're thrilled to offer an exhilarating rewards package, including our incredible Wellbeing Allowance worth up to 1500 per annum for our esteemed team members working in Band 2 - 6 roles. Additionally, for band 5 & 6 roles, where night shift is part of the role requirements, you will receive enhanced night shift payment. About Us SYNLAB UK & Ireland work closely with clinicians, hospitals, occupational health providers and clinical researchers to provide a complete pathology offering. We operate in increasingly diverse environments which is reflected in our workforce, clients, customers, suppliers, communities and partners. We believe an inclusive workplace culture is the best way to source, attract and retain diverse and talented people, and create a sustainable, high-performing workforce. We believe our staff is vital to the principle of making a positive difference to healthcare, therefore, we promote a culture of continuous personal development where scientists and staff have the support and resources to acquire new skills and build their careers through learning and development opportunities, coaching and clear career pathways. We promote an open and collaborative culture where leaders act as role models and facilitate a two-way communication, engage with staff and stakeholders transparently and actively encourage feedback and suggestions. Please note that we reserve the right to close any adverts once we have received a sufficient number of applications. If you decide to apply for this post but do not hear back from us within two weeks of your application, please assume that you have not been short-listed on this occasion. SYNLAB UK & Ireland is a committed equal opportunities employer and does not unlawfully discriminate on the basis of any status or condition protected by applicable UK employment law.
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.
Mar 22, 2024
Full time
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.
About Us King's is a constituent College of the University of Cambridge. Founded in 1441 by Henry VI as a place of education, religion, learning and research, the College comprises around 130 Fellows, 650 undergraduate and postgraduate students and 275 non-academic staff. The College is internationally recognised as a leading academic institution, boasting among its former students and Fellows no fewer than eight Nobel laureates, including Patrick Blackett, Frederick Sanger, Sydney Brenner, Philip Noel-Baker and Oliver Hart, as well as influential figures such as Alan Turing, E.M. Forster, John Maynard Keynes and Bernard Williams. Among its most prominent living members are the novelists Zadie Smith and Salman Rushdie, astronomer Martin Rees, sociologist Anthony Giddens, anthropologist Caroline Humphrey, former chair of the Bank of England Mervyn King, philanthropist David Sainsbury, molecular biologist Lesley Anne Glover, entrepreneur and computer scientist Hermann Hauser, composers Judith Weir (Master of the King's Music) and Errollyn Wallen, the first black woman to have a composition performed at The Proms. The undergraduate and postgraduate community is vibrant and diverse, priding itself on a friendly and inclusive atmosphere combining academic commitment with political engagement and a lively social and artistic scene. King's has long been leading the way in undergraduate recruitment from the state sector. The College works very hard to attract the best applicants, regardless of background, and to encourage academically outstanding students from underrepresented communities to study at Cambridge. In 2018 it launched a transformational Student Access and Support Initiative designed to improve equality of access and opportunity, and to help combat entrenched social and economic disadvantage. The Role The College is seeking an outstanding individual to lead the care of the physical environment at King's College enabling and coordinating key areas of work including maintenance and buildings management, health and safety, gardens and IT, while integrating the College's sustainability and physical accessibility ambitions. Key Responsibilities Buildings & Maintenance Working closely with the Clerk of Works, provide leadership, management, and development to build a strong working culture in care of the College's historic and contemporary estate. To work closely with the Head of Capital works on project delivery, ensuring operational expertise are factored into the project design, development, and handover. Represent the department with the College's governance processes, including on the Buildings Committee and other Committees, where requested, to provide specialist input and advice on building and maintenance-related matters. Support and implement the objectives of Accommodation Network UK (ANUK) standards. To ensure effective contractor management and adherence to CDM throughout college maintenance works. Provide technical guidance and expertise to the maintenance team. Lead the college in driving improvements to the physical accessibility of the College for all its community and visitors. Decarbonisation& Sustainability To lead on progressing the decarbonisation of the College through liaison with consultants, contractors, and College officers. Prioritise recommendations arising from College Energy Saving Opportunity Scheme and administer activities to deliver efficiencies against said scheme. Focus on consumption monitoring and energy conservation, recycling and waste management and emissions measurement and targeting strategies. Support and contribute to the development of the College's environmental strategy, implementation plans and implement agreed environmental improvements to the College estate. Health & Safety To work with the Health and Safety Advisor to lead for College-wide health and safety and to comply with any procedures as required by the College to ensure the health and safety of the College community. To work with the Health and Safety Advisor to maintain a positive and proactive health and safety culture across the whole College. Maintain an up-to-date knowledge of developments in the construction industry and buildings health and safety legislation to ensure that all work undertaken by internal staff and external contractors is carried out in accordance with approved building health and safety standards, and CDM regulations. Lead, with the Health and Safety Advisor, the ongoing development of the College's Incident Response Plan and departmental Disaster Response Plans Ensure the maintain of all paperwork associated with Health & Safety compliance, including but not limited to asbestos, legionella, Portable Appliance Testing, Electrical Testing. Ensuring the welfare of all operational teams in your care, in line with Health and Safety legislation including the completion of appropriate risk assessments and safe operating procedures. Gardens To work with the Head Gardener to ensure the establishment and continuous maintenance of gardening and horticultural work to the highest standard within the College grounds, and to ensure the most cost effective methods of attaining these aims within allocated budgets. To work with the Domus Bursar and Head Gardener to develop and deliver the biodiversity strategy for King's landholding. To work with the Head Gardener to continue growing the educational and engagement value of the work of the Gardens team for the College Community and public benefit. To support the Head Gardener and Domus Bursar in the delivery of the strategy for King's College Gardens as developed by the Head Gardener, Domus Bursar, First Bursar and key members of the Garden's Committee. Information Technology To work with the Head of IT to develop, implement, and maintain the College's information technology systems to support the objectives of the College through the provision of a comprehensive computing, business systems, and website service. To work with the Head of IT and Domus Bursar in the development and delivery of the mid-term IT strategy and delivery plan. To work with the Head of IT to ensure seamless AV provision for teaching and events across the College. Operations Ensuring that the College estate is effective as a busy contemporary college in a rich historic setting, making decisions that appropriately balance both considerations. To work closely with the Head of Housekeeping and other key stakeholders on developing appropriate systems and processes for managing the requirements of Accommodation across the college. To work closely with the Head Porter and other key stakeholders on the access and security requirements across the college. To look after the utilities for the College estate, seeking efficiencies through changes in operational and cultural practice where possible. To manage the College's Sports facilities including the Gyms, shared Boat House, and shared sports grounds. To lead on the facilities management of all key college activities with internal and external partners, including but not limited to the May Ball, Student Welfare events, conferencing and sporting events such as the Cambridge Half Marathon. As a member of the Domestic Bursar's team, contribute to the development of the wider College operational plans and approach. Finance Work with Heads of Department to assess and forecast financial performance, including comparison with actuals to budget, and managing to deliver agreed financial outcomes. Leading technical tender processes, adhering to the College's procurement and financial control models. The Person An ideal candidate will demonstrate: Knowledge & experience Experience in large complex estate hard and soft Facilities Management. Professional and regulatory qualifications appropriate to the skills required, e.g. CIOB, BIFM, HNC. Knowledge of Building, Premises, Health & Safety (including CDM Regulations) and Fire legislation. Relevant NEBOSH/IOSH qualified. Experience of managing budgets. Buildings and Facilities Management in an Historic setting (desirable) Experience of leading decarbonisation of operations through data-informed cultural change (desirable) Procurement and contract management. Understanding of the benefits of CAFM within complex estate management. Leadership of IT service provision in a complex estate (desirable) Management of gardens or grounds maintenance teams to the highest standards (desirable) Personal skills & abilities Office skills, including computer keyboard and use of word processing, excel. Ability to process, file and create reports from existing data. Ability to be patient, tactful and diplomatic. Ability to cope with a varied and demanding workload. Ability to lead, manage, and deliver change in a complex organization (desirable) knowing when to apply expert knowledge and when to be led by others. Confident in complex stakeholder engagement. A team player yet able to work independently. Flexible yet well organised in approach to work and able to cope with a varied and demanding workload. Ability to effectively liaise with relevant contractors and suppliers. An interest in sustainable buildings/historic buildings management (desirable). Remuneration and Benefits Remuneration . click apply for full job details
Mar 22, 2024
Full time
About Us King's is a constituent College of the University of Cambridge. Founded in 1441 by Henry VI as a place of education, religion, learning and research, the College comprises around 130 Fellows, 650 undergraduate and postgraduate students and 275 non-academic staff. The College is internationally recognised as a leading academic institution, boasting among its former students and Fellows no fewer than eight Nobel laureates, including Patrick Blackett, Frederick Sanger, Sydney Brenner, Philip Noel-Baker and Oliver Hart, as well as influential figures such as Alan Turing, E.M. Forster, John Maynard Keynes and Bernard Williams. Among its most prominent living members are the novelists Zadie Smith and Salman Rushdie, astronomer Martin Rees, sociologist Anthony Giddens, anthropologist Caroline Humphrey, former chair of the Bank of England Mervyn King, philanthropist David Sainsbury, molecular biologist Lesley Anne Glover, entrepreneur and computer scientist Hermann Hauser, composers Judith Weir (Master of the King's Music) and Errollyn Wallen, the first black woman to have a composition performed at The Proms. The undergraduate and postgraduate community is vibrant and diverse, priding itself on a friendly and inclusive atmosphere combining academic commitment with political engagement and a lively social and artistic scene. King's has long been leading the way in undergraduate recruitment from the state sector. The College works very hard to attract the best applicants, regardless of background, and to encourage academically outstanding students from underrepresented communities to study at Cambridge. In 2018 it launched a transformational Student Access and Support Initiative designed to improve equality of access and opportunity, and to help combat entrenched social and economic disadvantage. The Role The College is seeking an outstanding individual to lead the care of the physical environment at King's College enabling and coordinating key areas of work including maintenance and buildings management, health and safety, gardens and IT, while integrating the College's sustainability and physical accessibility ambitions. Key Responsibilities Buildings & Maintenance Working closely with the Clerk of Works, provide leadership, management, and development to build a strong working culture in care of the College's historic and contemporary estate. To work closely with the Head of Capital works on project delivery, ensuring operational expertise are factored into the project design, development, and handover. Represent the department with the College's governance processes, including on the Buildings Committee and other Committees, where requested, to provide specialist input and advice on building and maintenance-related matters. Support and implement the objectives of Accommodation Network UK (ANUK) standards. To ensure effective contractor management and adherence to CDM throughout college maintenance works. Provide technical guidance and expertise to the maintenance team. Lead the college in driving improvements to the physical accessibility of the College for all its community and visitors. Decarbonisation& Sustainability To lead on progressing the decarbonisation of the College through liaison with consultants, contractors, and College officers. Prioritise recommendations arising from College Energy Saving Opportunity Scheme and administer activities to deliver efficiencies against said scheme. Focus on consumption monitoring and energy conservation, recycling and waste management and emissions measurement and targeting strategies. Support and contribute to the development of the College's environmental strategy, implementation plans and implement agreed environmental improvements to the College estate. Health & Safety To work with the Health and Safety Advisor to lead for College-wide health and safety and to comply with any procedures as required by the College to ensure the health and safety of the College community. To work with the Health and Safety Advisor to maintain a positive and proactive health and safety culture across the whole College. Maintain an up-to-date knowledge of developments in the construction industry and buildings health and safety legislation to ensure that all work undertaken by internal staff and external contractors is carried out in accordance with approved building health and safety standards, and CDM regulations. Lead, with the Health and Safety Advisor, the ongoing development of the College's Incident Response Plan and departmental Disaster Response Plans Ensure the maintain of all paperwork associated with Health & Safety compliance, including but not limited to asbestos, legionella, Portable Appliance Testing, Electrical Testing. Ensuring the welfare of all operational teams in your care, in line with Health and Safety legislation including the completion of appropriate risk assessments and safe operating procedures. Gardens To work with the Head Gardener to ensure the establishment and continuous maintenance of gardening and horticultural work to the highest standard within the College grounds, and to ensure the most cost effective methods of attaining these aims within allocated budgets. To work with the Domus Bursar and Head Gardener to develop and deliver the biodiversity strategy for King's landholding. To work with the Head Gardener to continue growing the educational and engagement value of the work of the Gardens team for the College Community and public benefit. To support the Head Gardener and Domus Bursar in the delivery of the strategy for King's College Gardens as developed by the Head Gardener, Domus Bursar, First Bursar and key members of the Garden's Committee. Information Technology To work with the Head of IT to develop, implement, and maintain the College's information technology systems to support the objectives of the College through the provision of a comprehensive computing, business systems, and website service. To work with the Head of IT and Domus Bursar in the development and delivery of the mid-term IT strategy and delivery plan. To work with the Head of IT to ensure seamless AV provision for teaching and events across the College. Operations Ensuring that the College estate is effective as a busy contemporary college in a rich historic setting, making decisions that appropriately balance both considerations. To work closely with the Head of Housekeeping and other key stakeholders on developing appropriate systems and processes for managing the requirements of Accommodation across the college. To work closely with the Head Porter and other key stakeholders on the access and security requirements across the college. To look after the utilities for the College estate, seeking efficiencies through changes in operational and cultural practice where possible. To manage the College's Sports facilities including the Gyms, shared Boat House, and shared sports grounds. To lead on the facilities management of all key college activities with internal and external partners, including but not limited to the May Ball, Student Welfare events, conferencing and sporting events such as the Cambridge Half Marathon. As a member of the Domestic Bursar's team, contribute to the development of the wider College operational plans and approach. Finance Work with Heads of Department to assess and forecast financial performance, including comparison with actuals to budget, and managing to deliver agreed financial outcomes. Leading technical tender processes, adhering to the College's procurement and financial control models. The Person An ideal candidate will demonstrate: Knowledge & experience Experience in large complex estate hard and soft Facilities Management. Professional and regulatory qualifications appropriate to the skills required, e.g. CIOB, BIFM, HNC. Knowledge of Building, Premises, Health & Safety (including CDM Regulations) and Fire legislation. Relevant NEBOSH/IOSH qualified. Experience of managing budgets. Buildings and Facilities Management in an Historic setting (desirable) Experience of leading decarbonisation of operations through data-informed cultural change (desirable) Procurement and contract management. Understanding of the benefits of CAFM within complex estate management. Leadership of IT service provision in a complex estate (desirable) Management of gardens or grounds maintenance teams to the highest standards (desirable) Personal skills & abilities Office skills, including computer keyboard and use of word processing, excel. Ability to process, file and create reports from existing data. Ability to be patient, tactful and diplomatic. Ability to cope with a varied and demanding workload. Ability to lead, manage, and deliver change in a complex organization (desirable) knowing when to apply expert knowledge and when to be led by others. Confident in complex stakeholder engagement. A team player yet able to work independently. Flexible yet well organised in approach to work and able to cope with a varied and demanding workload. Ability to effectively liaise with relevant contractors and suppliers. An interest in sustainable buildings/historic buildings management (desirable). Remuneration and Benefits Remuneration . click apply for full job details
Do you want to be a part of a creative, stimulating, and informal culture at a growing, cutting-edge business operating in the alternative finance space? A full-time position is immediately available to join a seed-round start-up rating agency for digital assets. Background Agio Ratings () aims to be the rating agency for the digital asset market. The firm will use risk measurement techniques developed and tailored for the digital asset class. Our mission is to empower our clients to evaluate counterparty risk and make high quality investment decisions. Founded by a team of seasoned risk takers and data scientists, Agio intends to provide the best counterparty risk analysis available. By applying the rigour and discipline of conventional financial systems to the digital asset class, we will bridge the gap between traditional finance and emerging crypto markets. Position We are seeking a Backend Python Developer to join our Central London based team. This is an opportunity to be involved at all stages in the building and running of an end-to-end process to support the data needs of the business. Initially working with a small team, this role offers the chance to join at the start and grow with the business. This role will involve: Work with the CTO to build and maintain a cloud-based data platform to support the firm's downstream analytics and statistical models Develop automated ETL pipelines to ingest data from a variety of sources and store it for efficient consumption by both researchers and production platforms Work with our Data Scientists to identify and onboard new, proprietary, data sources to extend the firm's offering Develop an API abstraction layer to facilitate data retrieval by researchers and production models An ideal candidate has: An ability to self-start and work without close day-to-day supervision 5+ years of prior relevant experience Strong programming skills in Python, and its associated ecosystem, and computer science in general Experience with containerised application deployment: Docker, Kubernetes, container registries and so on Experience working on cloud computing platforms, in particular Azure Working knowledge of best practice CI/ CD pipeline automation and DevOps practices around the above Technologies likely to be used and therefore experience in which would be advantageous: Apache Airflow, MongoDB, Azure Kubernetes Service, Azure Container Registry, Helm and Helmfile for k8s manifests, minikube or MicroK8s for prototyping, Git / GitHub / GitHub Actions for source control, Poetry for Python dependency management Benefits The position enjoys the following benefits: Salary of £65k - £80k per annum plus options/ equity Flexible work patterns, including work from home and to your own schedule 33 days of paid annual leave, including public holidays, with the option to sell or buy a further 5 days
Sep 22, 2022
Full time
Do you want to be a part of a creative, stimulating, and informal culture at a growing, cutting-edge business operating in the alternative finance space? A full-time position is immediately available to join a seed-round start-up rating agency for digital assets. Background Agio Ratings () aims to be the rating agency for the digital asset market. The firm will use risk measurement techniques developed and tailored for the digital asset class. Our mission is to empower our clients to evaluate counterparty risk and make high quality investment decisions. Founded by a team of seasoned risk takers and data scientists, Agio intends to provide the best counterparty risk analysis available. By applying the rigour and discipline of conventional financial systems to the digital asset class, we will bridge the gap between traditional finance and emerging crypto markets. Position We are seeking a Backend Python Developer to join our Central London based team. This is an opportunity to be involved at all stages in the building and running of an end-to-end process to support the data needs of the business. Initially working with a small team, this role offers the chance to join at the start and grow with the business. This role will involve: Work with the CTO to build and maintain a cloud-based data platform to support the firm's downstream analytics and statistical models Develop automated ETL pipelines to ingest data from a variety of sources and store it for efficient consumption by both researchers and production platforms Work with our Data Scientists to identify and onboard new, proprietary, data sources to extend the firm's offering Develop an API abstraction layer to facilitate data retrieval by researchers and production models An ideal candidate has: An ability to self-start and work without close day-to-day supervision 5+ years of prior relevant experience Strong programming skills in Python, and its associated ecosystem, and computer science in general Experience with containerised application deployment: Docker, Kubernetes, container registries and so on Experience working on cloud computing platforms, in particular Azure Working knowledge of best practice CI/ CD pipeline automation and DevOps practices around the above Technologies likely to be used and therefore experience in which would be advantageous: Apache Airflow, MongoDB, Azure Kubernetes Service, Azure Container Registry, Helm and Helmfile for k8s manifests, minikube or MicroK8s for prototyping, Git / GitHub / GitHub Actions for source control, Poetry for Python dependency management Benefits The position enjoys the following benefits: Salary of £65k - £80k per annum plus options/ equity Flexible work patterns, including work from home and to your own schedule 33 days of paid annual leave, including public holidays, with the option to sell or buy a further 5 days
Summary causaLens are the pioneers of Causal AI - a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. As we continue to expand our business, we are looking for a motivated and high-achieving Research Scientist in Machine Learning and Causality to join our Research team based in London on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world. We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business. Roles and Responsibilities This is an exciting role for a smart, creative person to focus on research topics in Machine Learning and to extend the cutting edge of Causality. The successful candidate will join the CLX research group focusing on Causality & Blue Sky Research. The Company Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer. causaLens in the News Best Deeptech Company 2019 - Artificial Intelligence Awards 'Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies' - Yahoo Finance 'The U.K.'s Most Exciting AI Startups Race To Scale' - Forbes 'AllianzGI Taps Virtual Data Scientists amid War for Talent' - Financial Times 'Machine Learning Companies to watch in Europe' - Forbes 'Best Investment in Deeptech' award - UK Business Angels Association awards '100 Most Disruptive UK Companies' - Hotwire 'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire Benefits The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference Competitive remuneration Share option scheme Pension scheme 32 days paid holiday allowance (incl. bank holidays) Equipment you need to get the job done (MacBook Pro etc.) Good work-life balance Opportunities for continued learning and self-development, including courses, conferences and book budget Flexible work-from-home and remote days Cycle to work scheme Weekly journal club and knowledge sharing presentations Regular team outings, pizza Thursdays and annual company retreats Fruits, snacks and soft drinks in the office Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm Logistics Our interview process consists of a couple of online interviews and an on-site visit. We will do our best to transparently communicate the process with the successful candidates. PhD in a quantitative field (machine learning / computer science / statistics / physics / mathematics, or comparable) Research or Industrial experience in Machine Learning, Deep Learning or Reinforcement Learning is necessary Research or Industrial experience in causality (e.g. causal inference and causal discovery) is a plus Creativity and ability to come up with ideas to tackle very hard problems and design/implement cutting edge solutions Ability to translate advanced machine learning algorithms into code (Python preferred) Smart, capable and can write clean code effectively Knowledge of the software development lifecycle (version control, tooling, testing, etc.) Highly capable, self-motivated, collaborative and personable Ability to demonstrate integrity and drive Naturally curious and effective problem solver An excellent written and verbal communicator with a high level of business acumen Ability to effectively work independently in a fast-moving environment
Dec 06, 2021
Full time
Summary causaLens are the pioneers of Causal AI - a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. As we continue to expand our business, we are looking for a motivated and high-achieving Research Scientist in Machine Learning and Causality to join our Research team based in London on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world. We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business. Roles and Responsibilities This is an exciting role for a smart, creative person to focus on research topics in Machine Learning and to extend the cutting edge of Causality. The successful candidate will join the CLX research group focusing on Causality & Blue Sky Research. The Company Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer. causaLens in the News Best Deeptech Company 2019 - Artificial Intelligence Awards 'Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies' - Yahoo Finance 'The U.K.'s Most Exciting AI Startups Race To Scale' - Forbes 'AllianzGI Taps Virtual Data Scientists amid War for Talent' - Financial Times 'Machine Learning Companies to watch in Europe' - Forbes 'Best Investment in Deeptech' award - UK Business Angels Association awards '100 Most Disruptive UK Companies' - Hotwire 'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire Benefits The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference Competitive remuneration Share option scheme Pension scheme 32 days paid holiday allowance (incl. bank holidays) Equipment you need to get the job done (MacBook Pro etc.) Good work-life balance Opportunities for continued learning and self-development, including courses, conferences and book budget Flexible work-from-home and remote days Cycle to work scheme Weekly journal club and knowledge sharing presentations Regular team outings, pizza Thursdays and annual company retreats Fruits, snacks and soft drinks in the office Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm Logistics Our interview process consists of a couple of online interviews and an on-site visit. We will do our best to transparently communicate the process with the successful candidates. PhD in a quantitative field (machine learning / computer science / statistics / physics / mathematics, or comparable) Research or Industrial experience in Machine Learning, Deep Learning or Reinforcement Learning is necessary Research or Industrial experience in causality (e.g. causal inference and causal discovery) is a plus Creativity and ability to come up with ideas to tackle very hard problems and design/implement cutting edge solutions Ability to translate advanced machine learning algorithms into code (Python preferred) Smart, capable and can write clean code effectively Knowledge of the software development lifecycle (version control, tooling, testing, etc.) Highly capable, self-motivated, collaborative and personable Ability to demonstrate integrity and drive Naturally curious and effective problem solver An excellent written and verbal communicator with a high level of business acumen Ability to effectively work independently in a fast-moving environment