Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Aug 11, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Location Bristol, London, Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes and procuring for growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need This role is in GDS' multidisciplinary IDEA Unit, made up of data scientists, economists, and evaluation specialists. The team leads and supports analysis for the Digital Transformation Directorate, producing analysis that impacts departments across Government. Job description As a Senior Digital and AI Evaluator in the Government Digital Service (GDS), you will play a key role in embedding evaluation across the lifecycle of digital and AI-enabled services. You will develop and deliver robust approaches to assessing performance, safety, transparency, and public value. This role sits at the heart of GDS's expanding capability in impact and evaluation, ensuring that data and evidence are central to digital transformation. As a Senior Digital and AI Evaluator you'll: embed impact evaluation into design and delivery from the outset of AI and digital product development, ensuring evaluations align with government standards and are proportionate to risk and complexity develop and deliver evaluation strategies and theories of change, working collaboratively with multidisciplinary teams to define success measures and learning objectives apply advanced evaluation techniques, including process, impact, and economic evaluation, experimentation, and quasi-experimental methods, to assess effectiveness and efficiency collect, assure, and analyse quantitative and qualitative data, integrating multiple sources to generate reliable and actionable insights communicate analysis and insight clearly and persuasively to senior stakeholders, translating complex findings into meaningful recommendations manage and assure evaluation quality, ensuring that data, methods, and outputs meet high analytical standards and comply with ethical and privacy requirements support evaluation across government, helping teams adopt consistent and effective approaches to measuring digital and AI impact Person specification We're interested in people who: have a background in a relevant analytical discipline (economics, social or behavioural science, statistics, operational research, a related field, or relevant work experience) can demonstrate strong analytical and critical thinking skills, including the ability to evaluate digital services using some appropriate techniques including process evaluation, impact evaluation, 'theory of change', experimentation and economic evaluation, using quantitative or qualitative data ensure plans for monitoring and evaluation of products and services are appropriate and proportionate and influence stakeholders to secure resources for an evaluation project are experienced at setting up a system to get data ready for use, including specifying how data should be cleansed and prepared can communicate relevant, compelling insights using the most appropriate medium can make complex recommendations at a tactical and strategic level
Aug 10, 2026
Full time
Location Bristol, London, Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes and procuring for growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need This role is in GDS' multidisciplinary IDEA Unit, made up of data scientists, economists, and evaluation specialists. The team leads and supports analysis for the Digital Transformation Directorate, producing analysis that impacts departments across Government. Job description As a Senior Digital and AI Evaluator in the Government Digital Service (GDS), you will play a key role in embedding evaluation across the lifecycle of digital and AI-enabled services. You will develop and deliver robust approaches to assessing performance, safety, transparency, and public value. This role sits at the heart of GDS's expanding capability in impact and evaluation, ensuring that data and evidence are central to digital transformation. As a Senior Digital and AI Evaluator you'll: embed impact evaluation into design and delivery from the outset of AI and digital product development, ensuring evaluations align with government standards and are proportionate to risk and complexity develop and deliver evaluation strategies and theories of change, working collaboratively with multidisciplinary teams to define success measures and learning objectives apply advanced evaluation techniques, including process, impact, and economic evaluation, experimentation, and quasi-experimental methods, to assess effectiveness and efficiency collect, assure, and analyse quantitative and qualitative data, integrating multiple sources to generate reliable and actionable insights communicate analysis and insight clearly and persuasively to senior stakeholders, translating complex findings into meaningful recommendations manage and assure evaluation quality, ensuring that data, methods, and outputs meet high analytical standards and comply with ethical and privacy requirements support evaluation across government, helping teams adopt consistent and effective approaches to measuring digital and AI impact Person specification We're interested in people who: have a background in a relevant analytical discipline (economics, social or behavioural science, statistics, operational research, a related field, or relevant work experience) can demonstrate strong analytical and critical thinking skills, including the ability to evaluate digital services using some appropriate techniques including process evaluation, impact evaluation, 'theory of change', experimentation and economic evaluation, using quantitative or qualitative data ensure plans for monitoring and evaluation of products and services are appropriate and proportionate and influence stakeholders to secure resources for an evaluation project are experienced at setting up a system to get data ready for use, including specifying how data should be cleansed and prepared can communicate relevant, compelling insights using the most appropriate medium can make complex recommendations at a tactical and strategic level
Salary is competitive and commensurate with experience, plus a 14.5% pension contribution and a relocation package where applicable. Shape the future of information security for one of the world's most important organisations supporting biomedical research. At UK Biobank, information security isn't simply about protecting systems, it's about safeguarding one of the world's most valuable health research resources. Our data is trusted by more than 22,000 approved researchers across over 60 countries, helping advance our understanding of cancer, dementia, cardiovascular disease, mental health and hundreds of other conditions. Protecting that trust while enabling scientific discovery is fundamental to everything we do. We're entering one of the most significant periods of technology transformation in our history. As we continue to invest in modern cloud platforms, AI-enabled services, new digital capabilities and our £127.6 million headquarters at Manchester Science Park, we're looking for a Director of Information Security to lead the next phase of our information security maturity. This isn't a role focused on maintaining an established security function. It's an opportunity to shape and define a world-class capability Can you do it? As Director of Information Security, you'll report directly to our Chief Technology Officer and provide strategic leadership for information security across UK Biobank. You'll be responsible for ensuring our governance, cyber security, identity management, business continuity, and risk management capabilities continue to evolve alongside an increasingly complex threat landscape. Working closely with colleagues across Data and Technology, Legal, and the wider organisation, you'll embed security into organisational decision-making, providing confidence that our platforms remain secure, resilient, and compliant while continuing to support innovation and world-leading research. This is a unique opportunity to build on the strong foundations already in place while leading the next phase of UK Biobank's security maturity. As we continue our wider technology transformation, you'll shape the organisation's security strategy, strengthen operational capability, and help embed security into every aspect of our cloud platforms, digital services, AI initiatives, and future technologies. You'll lead a growing Information Security function, with the opportunity to develop capability, evolve the team, and foster a positive security culture across the organisation. Working at both strategic and operational levels, you'll influence Executive Leadership and Board discussions while providing the leadership needed to respond to emerging threats, manage organisational risk, and ensure security enables innovation rather than becoming a barrier to it. This is a unique and rare opportunity to shape the future of information security within one of the world's leading biomedical research organisations, protecting data that supports thousands of researchers across the globe while helping deliver the next generation of scientific discovery. You will be responsible for Developing, implementing, and creating a comprehensive information security strategy, providing direction and support to ensure effective implementation of security controls. Conducting regular risk assessments, audits, tests, and modelling to identify and evaluate vulnerabilities and potential threats. Providing regular updates to the executive leadership team and represent information security at board, audit, and governance committees Establishing metrics and enforcing information security policies, procedures, and guidelines aligned with standards and frameworks, particularly ISO27001 and the NCSC Cyber Assessment Framework, as well as regulatory requirements and industry best practices. Ensuring that critical data and assets have been identified, classified, and subject to appropriate controls, including for handling, ownership, and destruction. Leading the organisation's response to major cyber incidents, including providing out-of-hours and crisis-level support when required. Promoting and communicating a culture of security awareness so all staff understand their role in maintaining information security. Managing the Information Security budget, setting investment priorities, and contributing to financial planning. Is this 'you'? To be successful, you will have: Significant experience in information security management, with a proven track record of leadership in the field. Relevant industry certifications, preferably CISSP, CISM, or CCISO. Strong knowledge of information security standards, frameworks, and best practices. Previous experience of ISO270001 is a key requirement. A clear understanding of the laws and regulations associated with controlling and processing personal data, directing organisation responses to cyber incidents. Strong knowledge and understanding of the cyber threat landscape. Experience securing cloud environments with a knowledge of the vulnerability detection tools and security services available in AWS and /or MS Azure. Experience of deploying controls across networking, end-user compute, identity and access management, software development, and business operations to minimise the likelihood of security incidents. Experience of recruiting specialist staff, building teams, and developing existing colleagues through training, coaching and mentoring. Working hours are 35 hours per week, Monday to Friday, with 3 days onsite and hybrid working available. The role will be based at Greenheys, Manchester Science Park's headquarters. Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson at so we can support you. Your Wellbeing Matters to Us Colleagues at UK Biobank often highlight feeling supported, included, and connected to meaningful work, with wellbeing and work-life balance genuinely valued across teams. We're proud to offer a benefits package that supports your health, financial security, and development from day one: Currently 14.5% employer contribution to the USS Pension Scheme Healthcare Cash Plan to help cover everyday healthcare costs ️ 30 days' annual leave, plus bank holidays Buy up to 5 additional days' annual leave through our Holiday Buy Scheme A paid day off for your birthday Enhanced maternity, paternity, adoption and shared parental pay Hybrid and flexible working for many office-based roles Up to 6 months' full sick pay ️ Free on-site gym Subsidised lunch when working on site ️ Life Assurance Cycle to Work Scheme Season Ticket Loan Training and development opportunities, including a £500 annual personal development allowance Paid professional subscriptions, where applicable ️ Employee Discounts Portal Wellbeing support, including an Employee Assistance Programme Free annual flu vaccination and Hepatitis B vaccination, where applicable An active social committee with regular social events Free on-site parking Payroll Giving (Give As You Earn) The job advert closing date may change, so early applications are encouraged. About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
Aug 10, 2026
Full time
Salary is competitive and commensurate with experience, plus a 14.5% pension contribution and a relocation package where applicable. Shape the future of information security for one of the world's most important organisations supporting biomedical research. At UK Biobank, information security isn't simply about protecting systems, it's about safeguarding one of the world's most valuable health research resources. Our data is trusted by more than 22,000 approved researchers across over 60 countries, helping advance our understanding of cancer, dementia, cardiovascular disease, mental health and hundreds of other conditions. Protecting that trust while enabling scientific discovery is fundamental to everything we do. We're entering one of the most significant periods of technology transformation in our history. As we continue to invest in modern cloud platforms, AI-enabled services, new digital capabilities and our £127.6 million headquarters at Manchester Science Park, we're looking for a Director of Information Security to lead the next phase of our information security maturity. This isn't a role focused on maintaining an established security function. It's an opportunity to shape and define a world-class capability Can you do it? As Director of Information Security, you'll report directly to our Chief Technology Officer and provide strategic leadership for information security across UK Biobank. You'll be responsible for ensuring our governance, cyber security, identity management, business continuity, and risk management capabilities continue to evolve alongside an increasingly complex threat landscape. Working closely with colleagues across Data and Technology, Legal, and the wider organisation, you'll embed security into organisational decision-making, providing confidence that our platforms remain secure, resilient, and compliant while continuing to support innovation and world-leading research. This is a unique opportunity to build on the strong foundations already in place while leading the next phase of UK Biobank's security maturity. As we continue our wider technology transformation, you'll shape the organisation's security strategy, strengthen operational capability, and help embed security into every aspect of our cloud platforms, digital services, AI initiatives, and future technologies. You'll lead a growing Information Security function, with the opportunity to develop capability, evolve the team, and foster a positive security culture across the organisation. Working at both strategic and operational levels, you'll influence Executive Leadership and Board discussions while providing the leadership needed to respond to emerging threats, manage organisational risk, and ensure security enables innovation rather than becoming a barrier to it. This is a unique and rare opportunity to shape the future of information security within one of the world's leading biomedical research organisations, protecting data that supports thousands of researchers across the globe while helping deliver the next generation of scientific discovery. You will be responsible for Developing, implementing, and creating a comprehensive information security strategy, providing direction and support to ensure effective implementation of security controls. Conducting regular risk assessments, audits, tests, and modelling to identify and evaluate vulnerabilities and potential threats. Providing regular updates to the executive leadership team and represent information security at board, audit, and governance committees Establishing metrics and enforcing information security policies, procedures, and guidelines aligned with standards and frameworks, particularly ISO27001 and the NCSC Cyber Assessment Framework, as well as regulatory requirements and industry best practices. Ensuring that critical data and assets have been identified, classified, and subject to appropriate controls, including for handling, ownership, and destruction. Leading the organisation's response to major cyber incidents, including providing out-of-hours and crisis-level support when required. Promoting and communicating a culture of security awareness so all staff understand their role in maintaining information security. Managing the Information Security budget, setting investment priorities, and contributing to financial planning. Is this 'you'? To be successful, you will have: Significant experience in information security management, with a proven track record of leadership in the field. Relevant industry certifications, preferably CISSP, CISM, or CCISO. Strong knowledge of information security standards, frameworks, and best practices. Previous experience of ISO270001 is a key requirement. A clear understanding of the laws and regulations associated with controlling and processing personal data, directing organisation responses to cyber incidents. Strong knowledge and understanding of the cyber threat landscape. Experience securing cloud environments with a knowledge of the vulnerability detection tools and security services available in AWS and /or MS Azure. Experience of deploying controls across networking, end-user compute, identity and access management, software development, and business operations to minimise the likelihood of security incidents. Experience of recruiting specialist staff, building teams, and developing existing colleagues through training, coaching and mentoring. Working hours are 35 hours per week, Monday to Friday, with 3 days onsite and hybrid working available. The role will be based at Greenheys, Manchester Science Park's headquarters. Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson at so we can support you. Your Wellbeing Matters to Us Colleagues at UK Biobank often highlight feeling supported, included, and connected to meaningful work, with wellbeing and work-life balance genuinely valued across teams. We're proud to offer a benefits package that supports your health, financial security, and development from day one: Currently 14.5% employer contribution to the USS Pension Scheme Healthcare Cash Plan to help cover everyday healthcare costs ️ 30 days' annual leave, plus bank holidays Buy up to 5 additional days' annual leave through our Holiday Buy Scheme A paid day off for your birthday Enhanced maternity, paternity, adoption and shared parental pay Hybrid and flexible working for many office-based roles Up to 6 months' full sick pay ️ Free on-site gym Subsidised lunch when working on site ️ Life Assurance Cycle to Work Scheme Season Ticket Loan Training and development opportunities, including a £500 annual personal development allowance Paid professional subscriptions, where applicable ️ Employee Discounts Portal Wellbeing support, including an Employee Assistance Programme Free annual flu vaccination and Hepatitis B vaccination, where applicable An active social committee with regular social events Free on-site parking Payroll Giving (Give As You Earn) The job advert closing date may change, so early applications are encouraged. About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
Head Of Data (Analytics and Data Science) Location - 2 possible locations - Rochdale (Northern Hub) or London (Southern Hub) - Hybrid . 1 day in office, 4 days remote We're looking for an ambitious and commercially focused Head of Data (Analytics & Data Science) to lead and grow our data capability at a pivotal stage in our transformation journey. This is a high-profile leadership opportunity where you'll shape how data drives decision-making across the organisation, influence strategic priorities, and develop a talented team spanning data science, analytics and business intelligence. You'll combine strategic leadership with hands-on expertise, helping create innovative, data-driven solutions that deliver measurable business value. At Marston Holdings, we partner with public and private sector organisations to design, deliver and enforce essential services, combining operational expertise with market-leading technology. Data sits at the heart of our future growth, making this a role with genuine business wide impact. What you'll be doing: Lead, develop and inspire a team of analysts and data scientists, fostering a high-performance culture. Identify opportunities to drive efficiencies, performance improvements and strategic change through data. Shape and expand our Data Science and AI capability, developing roadmaps and delivering measurable outcomes. Work closely with data engineering and business stakeholders to create and maintain a trusted, single version of the truth. Influence both data strategy and wider business strategy, ensuring the right skills, tools and resources are in place for future success. Support the delivery of high-quality analytics, insights and data products that create tangible business value. Communicate complex findings clearly and persuasively to senior leaders, executives and board-level stakeholders. Champion an insight-led culture across the organisation. What we're looking for: Essential: Proven experience leading and developing data teams across at least two of the following areas: reporting, analytics and data science. Strong track record of identifying business opportunities and delivering value through data-driven initiatives. Hands-on technical expertise in SQL and working with large, complex datasets. Experience with tools such as Power BI, Tableau, Python, statistics and/or machine learning. Exceptional stakeholder management and communication skills, with the ability to influence at senior levels. A proactive, can-do attitude, with the ability to thrive in a fast-paced environment. Degree-level education in Mathematics, Statistics, Economics or a related discipline. Desirable Experience within enforcement, compliance or other regulated industries. Knowledge of operational performance metrics and case management environments What you will get in return: 25 annual leave days plus bank holidays Car Allowance Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees
Aug 10, 2026
Full time
Head Of Data (Analytics and Data Science) Location - 2 possible locations - Rochdale (Northern Hub) or London (Southern Hub) - Hybrid . 1 day in office, 4 days remote We're looking for an ambitious and commercially focused Head of Data (Analytics & Data Science) to lead and grow our data capability at a pivotal stage in our transformation journey. This is a high-profile leadership opportunity where you'll shape how data drives decision-making across the organisation, influence strategic priorities, and develop a talented team spanning data science, analytics and business intelligence. You'll combine strategic leadership with hands-on expertise, helping create innovative, data-driven solutions that deliver measurable business value. At Marston Holdings, we partner with public and private sector organisations to design, deliver and enforce essential services, combining operational expertise with market-leading technology. Data sits at the heart of our future growth, making this a role with genuine business wide impact. What you'll be doing: Lead, develop and inspire a team of analysts and data scientists, fostering a high-performance culture. Identify opportunities to drive efficiencies, performance improvements and strategic change through data. Shape and expand our Data Science and AI capability, developing roadmaps and delivering measurable outcomes. Work closely with data engineering and business stakeholders to create and maintain a trusted, single version of the truth. Influence both data strategy and wider business strategy, ensuring the right skills, tools and resources are in place for future success. Support the delivery of high-quality analytics, insights and data products that create tangible business value. Communicate complex findings clearly and persuasively to senior leaders, executives and board-level stakeholders. Champion an insight-led culture across the organisation. What we're looking for: Essential: Proven experience leading and developing data teams across at least two of the following areas: reporting, analytics and data science. Strong track record of identifying business opportunities and delivering value through data-driven initiatives. Hands-on technical expertise in SQL and working with large, complex datasets. Experience with tools such as Power BI, Tableau, Python, statistics and/or machine learning. Exceptional stakeholder management and communication skills, with the ability to influence at senior levels. A proactive, can-do attitude, with the ability to thrive in a fast-paced environment. Degree-level education in Mathematics, Statistics, Economics or a related discipline. Desirable Experience within enforcement, compliance or other regulated industries. Knowledge of operational performance metrics and case management environments What you will get in return: 25 annual leave days plus bank holidays Car Allowance Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees
SHAPE THE FUTURE OF AI IN THE UK The Alan Turing Institute is seeking a leading AI scientist to become its Chief Scientific Officer. This is a rare opportunity to shape the future of artificial intelligence and data science at a time when advances in AI are transforming economies, public services, national security and society. As the UK's national institute for AI and data science, the Turing occupies a unique position at the intersection of scientific discovery, national need and real-world impact. We bring together expertise from across academia, government, industry and the security community to address systems-wide resilience challenges for the UK that no single organisation can solve alone. Through frontier research, collaboration and innovation, we help ensure that advances in AI and data science deliver meaningful benefit for the UK. ROLE PURPOSE As Chief Scientific Officer, you will provide the scientific leadership that underpins the Institute's mission and ambition. Working closely with the Chief Executive Officer, you will define scientific direction, shape the Institute's research agenda and ensure that the Turing remains at the forefront of international developments in AI and data science. You will help determine where the Institute invests its scientific effort, what capabilities it builds and how it translates scientific excellence into impact for the nation. As a member of the Executive Team, you will play a central role in shaping the future of both the Institute and the UK's AI ecosystem. HOW YOU WILL MAKE AN IMPACT You will: Define and communicate a compelling scientific vision for the Institute. Shape and lead a world-class portfolio of AI and data science research. Identify emerging scientific opportunities and future areas of strategic importance. Build, inspire and develop exceptional scientific teams and future research leaders. Strengthen the Institute's position as a trusted national and international voice in AI. Build influential partnerships across academia, government, industry and the wider research ecosystem. Ensure that scientific advances are translated into meaningful national capability and public benefit. Work closely with the Science & Innovation team to bridge scientific discovery and practical deployment. Responsibility for convening the Alan Turing Institute's Scientific Advisory Board. ABOUT YOU We are seeking an internationally recognised AI scientist with the credibility, vision and leadership capability to operate at the forefront of the field. You will bring: An outstanding reputation in artificial intelligence, machine learning, data science or a closely related discipline. A significant track record of scientific achievement and influence. Experience leading major research programmes, institutes, laboratories or scientific organisations. A proven ability to define scientific strategy and deliver ambitious outcomes. Experience building and leading high-performing research teams. The ability to influence and collaborate with leading researchers, policymakers, funders and industry leaders. Exceptional communication skills and the ability to translate complex ideas for diverse audiences. Strategic judgement, intellectual curiosity and a collaborative leadership style. WHY JOIN US? Few scientific leadership roles offer the opportunity to shape both the future of a discipline and its contribution to society at a national level. As the UK's national institute for AI and data science, the Turing provides a unique platform from which to influence the direction of AI research, help shape national capability and ensure that scientific advances deliver meaningful benefits for the UK. For the right individual, this is more than a leadership role. It is an opportunity to leave a lasting mark on the future of AI and on the future of the nation. As this role requires eligibility for Developed Vetting (DV) clearance, applicants must be eligible to obtain DV clearance as a condition of appointment. APPLICATION PROCESS The Alan Turing Institute is committed to attracting exceptional and diverse talent and welcomes applications from candidates from all backgrounds. To apply, candidates should submit: A full and current Curriculum Vitae. A cover letter of no more than one page outlining: - Their interest in the opportunity. - How their experience aligns with the requirements of the role. - The contribution they believe they could make as Chief Scientific Officer.
Aug 10, 2026
Full time
SHAPE THE FUTURE OF AI IN THE UK The Alan Turing Institute is seeking a leading AI scientist to become its Chief Scientific Officer. This is a rare opportunity to shape the future of artificial intelligence and data science at a time when advances in AI are transforming economies, public services, national security and society. As the UK's national institute for AI and data science, the Turing occupies a unique position at the intersection of scientific discovery, national need and real-world impact. We bring together expertise from across academia, government, industry and the security community to address systems-wide resilience challenges for the UK that no single organisation can solve alone. Through frontier research, collaboration and innovation, we help ensure that advances in AI and data science deliver meaningful benefit for the UK. ROLE PURPOSE As Chief Scientific Officer, you will provide the scientific leadership that underpins the Institute's mission and ambition. Working closely with the Chief Executive Officer, you will define scientific direction, shape the Institute's research agenda and ensure that the Turing remains at the forefront of international developments in AI and data science. You will help determine where the Institute invests its scientific effort, what capabilities it builds and how it translates scientific excellence into impact for the nation. As a member of the Executive Team, you will play a central role in shaping the future of both the Institute and the UK's AI ecosystem. HOW YOU WILL MAKE AN IMPACT You will: Define and communicate a compelling scientific vision for the Institute. Shape and lead a world-class portfolio of AI and data science research. Identify emerging scientific opportunities and future areas of strategic importance. Build, inspire and develop exceptional scientific teams and future research leaders. Strengthen the Institute's position as a trusted national and international voice in AI. Build influential partnerships across academia, government, industry and the wider research ecosystem. Ensure that scientific advances are translated into meaningful national capability and public benefit. Work closely with the Science & Innovation team to bridge scientific discovery and practical deployment. Responsibility for convening the Alan Turing Institute's Scientific Advisory Board. ABOUT YOU We are seeking an internationally recognised AI scientist with the credibility, vision and leadership capability to operate at the forefront of the field. You will bring: An outstanding reputation in artificial intelligence, machine learning, data science or a closely related discipline. A significant track record of scientific achievement and influence. Experience leading major research programmes, institutes, laboratories or scientific organisations. A proven ability to define scientific strategy and deliver ambitious outcomes. Experience building and leading high-performing research teams. The ability to influence and collaborate with leading researchers, policymakers, funders and industry leaders. Exceptional communication skills and the ability to translate complex ideas for diverse audiences. Strategic judgement, intellectual curiosity and a collaborative leadership style. WHY JOIN US? Few scientific leadership roles offer the opportunity to shape both the future of a discipline and its contribution to society at a national level. As the UK's national institute for AI and data science, the Turing provides a unique platform from which to influence the direction of AI research, help shape national capability and ensure that scientific advances deliver meaningful benefits for the UK. For the right individual, this is more than a leadership role. It is an opportunity to leave a lasting mark on the future of AI and on the future of the nation. As this role requires eligibility for Developed Vetting (DV) clearance, applicants must be eligible to obtain DV clearance as a condition of appointment. APPLICATION PROCESS The Alan Turing Institute is committed to attracting exceptional and diverse talent and welcomes applications from candidates from all backgrounds. To apply, candidates should submit: A full and current Curriculum Vitae. A cover letter of no more than one page outlining: - Their interest in the opportunity. - How their experience aligns with the requirements of the role. - The contribution they believe they could make as Chief Scientific Officer.
Senior Data Consultant 60k - 90k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 09, 2026
Full time
Senior Data Consultant 60k - 90k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Aug 08, 2026
Full time
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Aug 08, 2026
Full time
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Aug 08, 2026
Full time
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Aug 08, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 08, 2026
Full time
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Aug 08, 2026
Full time
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Aug 08, 2026
Full time
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 07, 2026
Full time
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 07, 2026
Full time
We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
AI Agent Engineer / Machine Learning Engineer SC Cleared Remote 465/day Inside IR35 Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power AI-driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: Duration: Initial 3-month contract (likely extension) Location: Fully Remote (UK) Rate: 465 per day IR35: Inside IR35 Clearance: Active SC Clearance is essential You'll be responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI services with enterprise APIs and data platforms Engineering prompts, tool calling and agent workflows Working with structured and unstructured data to improve AI performance Collaborating with software engineers, data scientists and architects to deliver secure AI solutions Ensuring solutions meet security, governance and compliance requirements expected within government environment Requirements Active SC Clearance (mandatory) Experience in AI Agent Engineering or Machine Learning Engineering. Available to start in August Strong communication skills and experience working within Agile delivery teams If you're an AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer or Software Engineer with hands-on experience building production AI solutions, I'd be keen to speak with you. Please apply with your latest CV or get in touch for a confidential discussion.
Aug 07, 2026
Contractor
AI Agent Engineer / Machine Learning Engineer SC Cleared Remote 465/day Inside IR35 Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power AI-driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: Duration: Initial 3-month contract (likely extension) Location: Fully Remote (UK) Rate: 465 per day IR35: Inside IR35 Clearance: Active SC Clearance is essential You'll be responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI services with enterprise APIs and data platforms Engineering prompts, tool calling and agent workflows Working with structured and unstructured data to improve AI performance Collaborating with software engineers, data scientists and architects to deliver secure AI solutions Ensuring solutions meet security, governance and compliance requirements expected within government environment Requirements Active SC Clearance (mandatory) Experience in AI Agent Engineering or Machine Learning Engineering. Available to start in August Strong communication skills and experience working within Agile delivery teams If you're an AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer or Software Engineer with hands-on experience building production AI solutions, I'd be keen to speak with you. Please apply with your latest CV or get in touch for a confidential discussion.
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 07, 2026
Contractor
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Aug 07, 2026
Full time
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Aug 07, 2026
Full time
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Location : London Area, UK ( Hybrid - 3 days onsite ) Employment Type : Permanent Salary: Up to £73,000 + Benefits A leading global technology organisation is looking for a Senior Data Scientist - Generative AI to join its growing AI & Data team. Working within a highly collaborative environment, you'll design, build and deploy enterprise-scale Machine Learning and Generative AI solutions, helping shape the organisation's AI strategy while delivering innovative solutions into production. Responsibilities Design and develop Machine Learning and Generative AI solutions. Build Agentic AI and LLM-powered applications. Develop RAG, semantic search and intelligent automation solutions. Build predictive and optimisation models using modern ML techniques. Collaborate with engineering and business teams to deliver scalable AI solutions. Apply MLOps best practices including CI/CD, deployment and monitoring. Mentor junior team members and contribute to technical design decisions. Essential Skills Python & SQL Databricks & Apache Spark Agentic AI/AI Agents Generative AI & LLMs RAG, Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production Nice to Have Microsoft Fabric Azure AI Services Azure Machine Learning LangChain or LangGraph If you are interested, please APPLY .
Aug 07, 2026
Full time
Location : London Area, UK ( Hybrid - 3 days onsite ) Employment Type : Permanent Salary: Up to £73,000 + Benefits A leading global technology organisation is looking for a Senior Data Scientist - Generative AI to join its growing AI & Data team. Working within a highly collaborative environment, you'll design, build and deploy enterprise-scale Machine Learning and Generative AI solutions, helping shape the organisation's AI strategy while delivering innovative solutions into production. Responsibilities Design and develop Machine Learning and Generative AI solutions. Build Agentic AI and LLM-powered applications. Develop RAG, semantic search and intelligent automation solutions. Build predictive and optimisation models using modern ML techniques. Collaborate with engineering and business teams to deliver scalable AI solutions. Apply MLOps best practices including CI/CD, deployment and monitoring. Mentor junior team members and contribute to technical design decisions. Essential Skills Python & SQL Databricks & Apache Spark Agentic AI/AI Agents Generative AI & LLMs RAG, Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production Nice to Have Microsoft Fabric Azure AI Services Azure Machine Learning LangChain or LangGraph If you are interested, please APPLY .
