Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 16, 2026
Full time
Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Lead Data Scientist - Farnborough - Outside IR - 650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps Work closely with engineers, architects, and stakeholders within secure environments Support optimisation problems and solver-based approaches where required Experience Required Strong hands-on experience building AI models and machine learning solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature of the opportunity and business, applicants need active SC Clearance. Lead Data Scientist- Farnborough - Outside IR - 650 P/Day
Jun 15, 2026
Contractor
Lead Data Scientist - Farnborough - Outside IR - 650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps Work closely with engineers, architects, and stakeholders within secure environments Support optimisation problems and solver-based approaches where required Experience Required Strong hands-on experience building AI models and machine learning solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature of the opportunity and business, applicants need active SC Clearance. Lead Data Scientist- Farnborough - Outside IR - 650 P/Day
Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (e.g., LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!
Jun 15, 2026
Contractor
Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (e.g., LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Jun 15, 2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Jun 15, 2026
Full time
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Location : Contracted to the Peterborough office with the flexibility for hybrid working Salary £16,200 - £18,000 (£27,000 - £30,000 FTE) depending on experience Part Time: 22.5 hours per week (0.6 FTE) Benefits : They want all employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring employees are paid fairly, they offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Tuesday 23 June 2026 Telephone interviews will be held week commencing 29 June and interviews will be held week commencing 6 July in Peterborough. No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with a chronic health condition. Their vision is a future where fewer people are affected and outcomes are significantly improved. The organisation is a leading charity dedicated to funding research into the prevention, treatment and management of disease. They are seeking an enthusiastic, organised and responsible research coordinator to join their dynamic data science team. This is a key role supporting the smooth and efficient operation of a national biobank, helping to facilitate access to data and samples for researchers and supporting the expansion of the biobank into new disease areas. The role will also contribute to strategic initiatives within their growing data science programme. They are looking for a highly organised individual with excellent communication and coordination skills who enjoys working with a wide range of stakeholders, including researchers, clinicians, industry partners and funding applicants. The successful candidate will support meetings, committees and strategic research initiatives, while helping to ensure the effective day-to-day running of the programme. Key responsibilities include: • Providing administrative support to the data science team • Coordinating internal and external meetings and committee activity • Supporting the delivery of strategic research programmes and events • Preparing reports, meeting papers and documentation to a high standard • Maintaining accurate records and databases • Supporting engagement with external stakeholders and collaborators They are particularly interested in candidates with: • Strong organisational and time management skills • Experience coordinating meetings and taking minutes • Excellent written and verbal communication skills • Experience using Microsoft Office and managing multiple priorities • A positive, flexible and collaborative approach • An interest in medical research, healthcare or data science • Understanding of medical or scientific terminology would be advantageous Their values underpin everything they do, and they welcome talented people who want to make change happen and contribute to improving outcomes for people affected by disease. If you are interested in the position, please complete the online application form and submit together with your CV. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About the organisation: The organisation is a leading UK charity focused on funding research into the prevention, treatment and management of disease. For more than 60 years, the research they fund has been making an impact. However, the condition is increasing, as are the factors contributing to it, making their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of the condition. They collaborate with partners across the public, private and third sectors to prevent illness and drive innovation to transform treatments. Over the last ten years, they have invested significant funding into research. They also engage with governments and decision makers to influence policy and practice, helping to ensure people living with the condition have access to the most effective care and treatment, and to make it a priority. Most importantly, they work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the organisation. Those patient contributions are vital, helping them and their partners to understand lived experiences, ensuring they see the person behind the treatment and reminding them that behind every statistic is an individual the patients and carers who inspire their mission and drive meaningful progress. You may have experience in the following: Research Coordinator, Research Administrator, Clinical Research Coordinator, Research Assistant, Data Coordinator, Programme Coordinator, Project Coordinator, Scientific Administrator, Research Project Officer, Clinical Trials Coordinator, Data Science Coordinator, Healthcare Administrator, Biobank Coordinator, Research Support Officer, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-
Jun 15, 2026
Full time
Location : Contracted to the Peterborough office with the flexibility for hybrid working Salary £16,200 - £18,000 (£27,000 - £30,000 FTE) depending on experience Part Time: 22.5 hours per week (0.6 FTE) Benefits : They want all employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring employees are paid fairly, they offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Tuesday 23 June 2026 Telephone interviews will be held week commencing 29 June and interviews will be held week commencing 6 July in Peterborough. No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with a chronic health condition. Their vision is a future where fewer people are affected and outcomes are significantly improved. The organisation is a leading charity dedicated to funding research into the prevention, treatment and management of disease. They are seeking an enthusiastic, organised and responsible research coordinator to join their dynamic data science team. This is a key role supporting the smooth and efficient operation of a national biobank, helping to facilitate access to data and samples for researchers and supporting the expansion of the biobank into new disease areas. The role will also contribute to strategic initiatives within their growing data science programme. They are looking for a highly organised individual with excellent communication and coordination skills who enjoys working with a wide range of stakeholders, including researchers, clinicians, industry partners and funding applicants. The successful candidate will support meetings, committees and strategic research initiatives, while helping to ensure the effective day-to-day running of the programme. Key responsibilities include: • Providing administrative support to the data science team • Coordinating internal and external meetings and committee activity • Supporting the delivery of strategic research programmes and events • Preparing reports, meeting papers and documentation to a high standard • Maintaining accurate records and databases • Supporting engagement with external stakeholders and collaborators They are particularly interested in candidates with: • Strong organisational and time management skills • Experience coordinating meetings and taking minutes • Excellent written and verbal communication skills • Experience using Microsoft Office and managing multiple priorities • A positive, flexible and collaborative approach • An interest in medical research, healthcare or data science • Understanding of medical or scientific terminology would be advantageous Their values underpin everything they do, and they welcome talented people who want to make change happen and contribute to improving outcomes for people affected by disease. If you are interested in the position, please complete the online application form and submit together with your CV. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About the organisation: The organisation is a leading UK charity focused on funding research into the prevention, treatment and management of disease. For more than 60 years, the research they fund has been making an impact. However, the condition is increasing, as are the factors contributing to it, making their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of the condition. They collaborate with partners across the public, private and third sectors to prevent illness and drive innovation to transform treatments. Over the last ten years, they have invested significant funding into research. They also engage with governments and decision makers to influence policy and practice, helping to ensure people living with the condition have access to the most effective care and treatment, and to make it a priority. Most importantly, they work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the organisation. Those patient contributions are vital, helping them and their partners to understand lived experiences, ensuring they see the person behind the treatment and reminding them that behind every statistic is an individual the patients and carers who inspire their mission and drive meaningful progress. You may have experience in the following: Research Coordinator, Research Administrator, Clinical Research Coordinator, Research Assistant, Data Coordinator, Programme Coordinator, Project Coordinator, Scientific Administrator, Research Project Officer, Clinical Trials Coordinator, Data Science Coordinator, Healthcare Administrator, Biobank Coordinator, Research Support Officer, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-
QC Analyst - Temporary Location - Worthing Contract - 6 Months Pay Rate - 16.92 per hour paye We are currently recruiting a QC Analyst to join our client's Quality Control team at the Worthing Manufacturing site. You'll be working in a motivated, high performing team of eight analysts, sharing knowledge and support on a daily basis. The role requires testing of physical and chemical analytical test methods on oral products for release to market. Also, stability studies on those products using SOPs, and accurately documenting the results as part of the Quality Control process to ensure a batch of products is of satisfactory quality. Key Responsibilities include: To test routine production and stability samples supplied from the site Value Streams and meet testing lead-time targets. Calibrate and maintain analytical equipment. Carry out qualitative and quantitative analysis of antibiotic powders and solid dose forms using a wide range of analytical techniques (eg: HPLC, Karl Fischer, dissolutions etc). To carry out OOS investigations and discuss the outcome with Team Leader, or relevant production Dept, QA manager or a Qualified Person, as required. To check and verify analytical testing and data generated by other analysts To adhere to and help maintain the highest levels of safety and GLP within the section and ensure training records are kept up to date. Daily liaison with both other analysts and team leader regarding testing and test results. May be required to take a lead role within a small team of analysts working together on a common analytical technique e.g. HPLC. Supplying data / reports to Value Stream as requested. May be required to communicate with the relevant Value Steam. to progress OOS investigations About You: This role would suit a motivated individual who has experience of working in a laboratory environment, as well as suitable qualifications in Chemistry (or scientific discipline). You will be a self-starter with keen attention to detail and compliance at the forefront of your decision-making process. A strong Quality and continuous improvement mind-set, as well as strong communication skills are also needed. Basic Qualifications: Relevant scientific qualification (eg; HNC or equivalent level in scientific discipline) Understanding of laboratory analysis Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jun 15, 2026
Contractor
QC Analyst - Temporary Location - Worthing Contract - 6 Months Pay Rate - 16.92 per hour paye We are currently recruiting a QC Analyst to join our client's Quality Control team at the Worthing Manufacturing site. You'll be working in a motivated, high performing team of eight analysts, sharing knowledge and support on a daily basis. The role requires testing of physical and chemical analytical test methods on oral products for release to market. Also, stability studies on those products using SOPs, and accurately documenting the results as part of the Quality Control process to ensure a batch of products is of satisfactory quality. Key Responsibilities include: To test routine production and stability samples supplied from the site Value Streams and meet testing lead-time targets. Calibrate and maintain analytical equipment. Carry out qualitative and quantitative analysis of antibiotic powders and solid dose forms using a wide range of analytical techniques (eg: HPLC, Karl Fischer, dissolutions etc). To carry out OOS investigations and discuss the outcome with Team Leader, or relevant production Dept, QA manager or a Qualified Person, as required. To check and verify analytical testing and data generated by other analysts To adhere to and help maintain the highest levels of safety and GLP within the section and ensure training records are kept up to date. Daily liaison with both other analysts and team leader regarding testing and test results. May be required to take a lead role within a small team of analysts working together on a common analytical technique e.g. HPLC. Supplying data / reports to Value Stream as requested. May be required to communicate with the relevant Value Steam. to progress OOS investigations About You: This role would suit a motivated individual who has experience of working in a laboratory environment, as well as suitable qualifications in Chemistry (or scientific discipline). You will be a self-starter with keen attention to detail and compliance at the forefront of your decision-making process. A strong Quality and continuous improvement mind-set, as well as strong communication skills are also needed. Basic Qualifications: Relevant scientific qualification (eg; HNC or equivalent level in scientific discipline) Understanding of laboratory analysis Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (eg, LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!
Jun 15, 2026
Contractor
Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (eg, LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Jun 15, 2026
Full time
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
NISTA- Senior Data Engineer Salary: London: £46,090 - £49,500. If the successful candidate is a current Civil Servant joining on level transfer, HM Treasury will honour their current substantive salary if higher. This role typically attracts a Government Digital and Data allowance of up-to £6,000 for eligible individuals. Eligibility will be assessed following appointment via a capability assessment in line with the Digital and Data Capability Framework Contract Type: Permanent Working Pattern: This post is available on a full time, part time or job share basis, and flexible working hours can be accommodated. Location: London (1 Horse Guards Road) This post can be based in London (1 Horse Guards Road). Any applicants who are already NISTA staff can also apply to be based from their existing locations in Birmingham (23 Stephenson Street), or Leeds (2 Whitehall Quay) Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government. About the Team Nista The Prime Minister has called for reform of the British state, seeking to go further and faster on renewal, and to ensure a more active government. To support these aims, the government has established the National Infrastructure and Service Transformation Authority (NISTA) as its centre of infrastructure expertise, harnessing the policy and strategy insight of the National Infrastructure Commission (NIC) and the delivery specialism of the Infrastructure and Projects Authority (IPA) and bringing them together to create a new, stronger and more powerful organisation capable of delivering these goals. NISTA has six objectives: Overseeing the government's 10 Year Infrastructure Strategy Identifying and coordinating infrastructure needs Unblocking barriers and streamlining delivery of the government's major projects Setting standards and improving the government's project delivery capabilities Providing effective assurance for the government's priority projects Leading expertise on private finance The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10 year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. In this role, you'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job As a Senior Data Engineer in NISTA you will develop performant, reliable and secure data pipelines which help to inform senior leaders making decisions on projects worth in excess of £1tn. Working with subject matter experts, data scientists, and infrastructure engineers, you will ensure that data are relevant and processed effectively to enable products which meet the needs of our decision makers. You will use you your technical skills to translate complex data needs into easily understood and well documented structures by utilising and developing the team's mature cloud architecture and existing tooling. You will use a range of technical skills, deploying your existing data engineering toolkit as well as learning new techniques and experimenting to ensure you use the right tooling for the job. You will collaborate with a passionate team to promote a data-centric culture in the whole organisation, championing data engineering best practice in all your interactions with colleagues. Design, build and evolve robust data pipelines used to extract, transform and load data from our collection platforms into our cloud-based environment. Take ownership of the core data engineering tools that ensure our data is accurate, reliable and efficient to use. Work closely with data scientists and infrastructure engineers to shape how data is collected and transformed, enabling high-quality analysis and insight. Implement secure, well-governed change practices so back-end improvements can be delivered without disrupting production applications. Create and maintain clear technical documentation so that our data infrastructure is transparent and easy to work with. Act as a bridge between technical teams and non-technical stakeholders, clearly explaining data processes and helping others understand how data flows through the organisation. Learning and experimenting to keep up-to-date with relevant new and innovative data tools and techniques. About You You will have experience of designing, coding, and testing resilient and maintainable solutions and will have contributed to the implementation of complex or large-scale data solutions. We would like you to have experience working in a multi-disciplinary data team to deliver and develop impactful data solutions as well as working in Python and/or SQL in a data engineering context. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link.
Jun 15, 2026
Full time
NISTA- Senior Data Engineer Salary: London: £46,090 - £49,500. If the successful candidate is a current Civil Servant joining on level transfer, HM Treasury will honour their current substantive salary if higher. This role typically attracts a Government Digital and Data allowance of up-to £6,000 for eligible individuals. Eligibility will be assessed following appointment via a capability assessment in line with the Digital and Data Capability Framework Contract Type: Permanent Working Pattern: This post is available on a full time, part time or job share basis, and flexible working hours can be accommodated. Location: London (1 Horse Guards Road) This post can be based in London (1 Horse Guards Road). Any applicants who are already NISTA staff can also apply to be based from their existing locations in Birmingham (23 Stephenson Street), or Leeds (2 Whitehall Quay) Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government. About the Team Nista The Prime Minister has called for reform of the British state, seeking to go further and faster on renewal, and to ensure a more active government. To support these aims, the government has established the National Infrastructure and Service Transformation Authority (NISTA) as its centre of infrastructure expertise, harnessing the policy and strategy insight of the National Infrastructure Commission (NIC) and the delivery specialism of the Infrastructure and Projects Authority (IPA) and bringing them together to create a new, stronger and more powerful organisation capable of delivering these goals. NISTA has six objectives: Overseeing the government's 10 Year Infrastructure Strategy Identifying and coordinating infrastructure needs Unblocking barriers and streamlining delivery of the government's major projects Setting standards and improving the government's project delivery capabilities Providing effective assurance for the government's priority projects Leading expertise on private finance The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10 year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. In this role, you'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job As a Senior Data Engineer in NISTA you will develop performant, reliable and secure data pipelines which help to inform senior leaders making decisions on projects worth in excess of £1tn. Working with subject matter experts, data scientists, and infrastructure engineers, you will ensure that data are relevant and processed effectively to enable products which meet the needs of our decision makers. You will use you your technical skills to translate complex data needs into easily understood and well documented structures by utilising and developing the team's mature cloud architecture and existing tooling. You will use a range of technical skills, deploying your existing data engineering toolkit as well as learning new techniques and experimenting to ensure you use the right tooling for the job. You will collaborate with a passionate team to promote a data-centric culture in the whole organisation, championing data engineering best practice in all your interactions with colleagues. Design, build and evolve robust data pipelines used to extract, transform and load data from our collection platforms into our cloud-based environment. Take ownership of the core data engineering tools that ensure our data is accurate, reliable and efficient to use. Work closely with data scientists and infrastructure engineers to shape how data is collected and transformed, enabling high-quality analysis and insight. Implement secure, well-governed change practices so back-end improvements can be delivered without disrupting production applications. Create and maintain clear technical documentation so that our data infrastructure is transparent and easy to work with. Act as a bridge between technical teams and non-technical stakeholders, clearly explaining data processes and helping others understand how data flows through the organisation. Learning and experimenting to keep up-to-date with relevant new and innovative data tools and techniques. About You You will have experience of designing, coding, and testing resilient and maintainable solutions and will have contributed to the implementation of complex or large-scale data solutions. We would like you to have experience working in a multi-disciplinary data team to deliver and develop impactful data solutions as well as working in Python and/or SQL in a data engineering context. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link.
Gregory Martin International
Winchester, Hampshire
Senior / Principal Analyst / Data Scientist Location - Winchester, Hants, Hybrid role Salary - £40K-£75K plus bonus and benefits Our client islooking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business. You will have strong data analysis skills, Advanced Excel , including VBA Our client's team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operaional analysis are a key part of their company's capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior/Principal Analysyour role will include: Using operational analysis approaches to deliver impactful insights to their clients. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company's team of consultants and analysts. The role as a Senior Analyst will require a blend of working from our office, occasional travel to client sites, and working from home. The company's main clients will be based around key UK Defence establishments in the south of England. Experience /Qualifications - Senior/Principal Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills , including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree, MSc or equivalent experience Knowledge and experience of the following is desirable : Decision making techniques and processes. Operating models and organisational design. Software development using Python. Knowledge of current software development approaches, platforms and best practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Senior Analyst - Defence, MOD, Nuclear
Jun 14, 2026
Full time
Senior / Principal Analyst / Data Scientist Location - Winchester, Hants, Hybrid role Salary - £40K-£75K plus bonus and benefits Our client islooking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business. You will have strong data analysis skills, Advanced Excel , including VBA Our client's team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operaional analysis are a key part of their company's capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior/Principal Analysyour role will include: Using operational analysis approaches to deliver impactful insights to their clients. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company's team of consultants and analysts. The role as a Senior Analyst will require a blend of working from our office, occasional travel to client sites, and working from home. The company's main clients will be based around key UK Defence establishments in the south of England. Experience /Qualifications - Senior/Principal Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills , including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree, MSc or equivalent experience Knowledge and experience of the following is desirable : Decision making techniques and processes. Operating models and organisational design. Software development using Python. Knowledge of current software development approaches, platforms and best practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Senior Analyst - Defence, MOD, Nuclear
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Jun 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Jun 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Jun 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Jun 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
Jun 13, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. 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)
High Level Overview I am looking for candidates with proven experience driving AI adoption across a business (Copilot, ChatGPT, Claude or similar). This is not a Data Scientist/AI Engineer position. If you have helped organisations identify AI use cases, implement governance, train users and turn AI into measurable business outcomes, please review the rest of the role details below and contact me ASAP if interested: Lorenz Pasch at Hays Recruitment Full contact details are available on my LinkedIn profile Unfortunately, no sponsorship options are available for this opportunity. Full role details: I am partnering with a leading UK organisation looking to hire a Technology AI Business Partner into a newly created role focused on driving AI adoption across the business. The challenge: AI tools are already being introduced into my client. This role exists to ensure adoption is structured, secure and delivers genuine value. You will be responsible for: Partnering with business teams to identify practical AI use cases Translating business challenges into AI-enabled solutions Supporting adoption of tools including Copilot, ChatGPT, Claude and other emerging technologies Delivering training, guidance and best practice sessions Supporting AI governance, risk management and responsible usage Assessing new AI capabilities within existing technology platforms Tracking benefits and demonstrating business value The successful candidate will have: Experience delivering AI adoption or digital transformation initiatives Strong business partnering/stakeholder management skills Ability to explain AI concepts to non-technical audiences Experience creating structure in fast-moving technology environments Understanding of AI governance, compliance and risk considerations Suitable backgrounds may include: AI Adoption Specialist Technology Business Partner Digital Transformation Consultant AI Consultant Product Owner Business Analyst with strong AI exposure Location: London (4 days per week on-site) Strong benefits package: 15% pension, bonus, share scheme and wider incentives Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jun 13, 2026
Full time
High Level Overview I am looking for candidates with proven experience driving AI adoption across a business (Copilot, ChatGPT, Claude or similar). This is not a Data Scientist/AI Engineer position. If you have helped organisations identify AI use cases, implement governance, train users and turn AI into measurable business outcomes, please review the rest of the role details below and contact me ASAP if interested: Lorenz Pasch at Hays Recruitment Full contact details are available on my LinkedIn profile Unfortunately, no sponsorship options are available for this opportunity. Full role details: I am partnering with a leading UK organisation looking to hire a Technology AI Business Partner into a newly created role focused on driving AI adoption across the business. The challenge: AI tools are already being introduced into my client. This role exists to ensure adoption is structured, secure and delivers genuine value. You will be responsible for: Partnering with business teams to identify practical AI use cases Translating business challenges into AI-enabled solutions Supporting adoption of tools including Copilot, ChatGPT, Claude and other emerging technologies Delivering training, guidance and best practice sessions Supporting AI governance, risk management and responsible usage Assessing new AI capabilities within existing technology platforms Tracking benefits and demonstrating business value The successful candidate will have: Experience delivering AI adoption or digital transformation initiatives Strong business partnering/stakeholder management skills Ability to explain AI concepts to non-technical audiences Experience creating structure in fast-moving technology environments Understanding of AI governance, compliance and risk considerations Suitable backgrounds may include: AI Adoption Specialist Technology Business Partner Digital Transformation Consultant AI Consultant Product Owner Business Analyst with strong AI exposure Location: London (4 days per week on-site) Strong benefits package: 15% pension, bonus, share scheme and wider incentives Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jun 13, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Jun 13, 2026
Full time
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? If so, we'd love to hear from you ! About the Team The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10-year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. You'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job In this role, you will: Design, build and evolve secure, well governed cloud data platforms and pipelines that reliably support complex analytical and operational needs. Provide strong technical leadership to the team, including setting direction, reviewing critical code, mentoring engineers and upholding high engineering standards. Define and enforce standards for data engineering, pipeline development and deployment to ensure platforms are scalable, maintainable and safe to change. Take hands on ownership of the most complex or high risk areas of the data platform to resolve issues, improve performance and reduce operational risk. This includes being fully across potential data security risks. Work closely with analysts, data scientists and infrastructure colleagues to shape robust technical designs that enable high quality analysis and insight. Act as a trusted technical adviser to senior stakeholders, clearly explaining options, risks and trade offs relating to data infrastructure, security and compliance. Drive continuous improvement in data services, improving quality, resilience and user experience for users and cross government partners. Design and create accessible data engineering solutions that can be utilised and understood by the wider team of analysts and scientists Build a high performing, motivated team by fostering a culture of learning, experimentation and professionalism, and by being an effective, supportive line manager. About You This role requires someone who can operate at pace across strategy and delivery, leading by example through hands on technical expertise while developing others and enabling the organisation to make effective, responsible use of modern data engineering by clearly explaining technical risks, options and trade-offs to senior stakeholders. Some of the Benefits our people love! Generous Annual Leave - 25 days (rising to 30 after 5 years), plus public holidays and the King's birthday. Outstanding Pension Scheme - Defined Benefit pension with employer contributions of 28% Parental Leave Packages - Including 6 months' occupational pay for maternity/adoption, shared parental leave options. Flexible & Hybrid Working - Options include part-time, job-share, compressed hours, flexitime, and hybrid working (where business needs allow). Advance Schemes & Discounts - Rental deposit, cycle-to-work, SmartTech, season ticket loans, and access to HM Treasury's benefits portal for a wide range of discount codes. For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .
Jun 13, 2026
Full time
Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? If so, we'd love to hear from you ! About the Team The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10-year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. You'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job In this role, you will: Design, build and evolve secure, well governed cloud data platforms and pipelines that reliably support complex analytical and operational needs. Provide strong technical leadership to the team, including setting direction, reviewing critical code, mentoring engineers and upholding high engineering standards. Define and enforce standards for data engineering, pipeline development and deployment to ensure platforms are scalable, maintainable and safe to change. Take hands on ownership of the most complex or high risk areas of the data platform to resolve issues, improve performance and reduce operational risk. This includes being fully across potential data security risks. Work closely with analysts, data scientists and infrastructure colleagues to shape robust technical designs that enable high quality analysis and insight. Act as a trusted technical adviser to senior stakeholders, clearly explaining options, risks and trade offs relating to data infrastructure, security and compliance. Drive continuous improvement in data services, improving quality, resilience and user experience for users and cross government partners. Design and create accessible data engineering solutions that can be utilised and understood by the wider team of analysts and scientists Build a high performing, motivated team by fostering a culture of learning, experimentation and professionalism, and by being an effective, supportive line manager. About You This role requires someone who can operate at pace across strategy and delivery, leading by example through hands on technical expertise while developing others and enabling the organisation to make effective, responsible use of modern data engineering by clearly explaining technical risks, options and trade-offs to senior stakeholders. Some of the Benefits our people love! Generous Annual Leave - 25 days (rising to 30 after 5 years), plus public holidays and the King's birthday. Outstanding Pension Scheme - Defined Benefit pension with employer contributions of 28% Parental Leave Packages - Including 6 months' occupational pay for maternity/adoption, shared parental leave options. Flexible & Hybrid Working - Options include part-time, job-share, compressed hours, flexitime, and hybrid working (where business needs allow). Advance Schemes & Discounts - Rental deposit, cycle-to-work, SmartTech, season ticket loans, and access to HM Treasury's benefits portal for a wide range of discount codes. For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .
