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 22, 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.
Flood Risk Consultant Location: Birmingham Salary: 33,000 - 54,000 Are you ready to make a significant impact in flood risk management? Join a leading consultancy in Birmingham and elevate your career as a Flood Risk Consultant. The Opportunity Join our Water Management Consultancy team and take ownership of diverse projects across sectors like energy, water, and transportation. With flexible and remote working options, you can balance your professional and personal life while contributing to meaningful projects. Key Responsibilities - Conduct data analysis, hydraulic modelling, and hydrology using TUFLOW, Flood Modeller, ESTRY, and InfoWorks ICM. - Perform GIS tasks and technical reporting. - Ensure quality assurance by reviewing junior staff work. - Develop and test flood mitigation concepts. - Collaborate with environmental scientists, engineers, and planners. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling and GIS. - Experience in flood risk analysis and hydrological assessments. - Strong interpersonal and communication skills. - Organised and capable of managing multiple projects. - Attention to detail and commitment to high standards. Why Apply? Enjoy a competitive salary of 33,000 - 54,000 and a range of benefits tailored to your lifestyle. Benefit from professional development opportunities and a supportive work environment that values your growth. Company Culture We are committed to creating an inclusive workplace where everyone feels they belong. As an Equal Opportunities Employer, we welcome applications from all backgrounds. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Birmingham, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
Jun 22, 2026
Full time
Flood Risk Consultant Location: Birmingham Salary: 33,000 - 54,000 Are you ready to make a significant impact in flood risk management? Join a leading consultancy in Birmingham and elevate your career as a Flood Risk Consultant. The Opportunity Join our Water Management Consultancy team and take ownership of diverse projects across sectors like energy, water, and transportation. With flexible and remote working options, you can balance your professional and personal life while contributing to meaningful projects. Key Responsibilities - Conduct data analysis, hydraulic modelling, and hydrology using TUFLOW, Flood Modeller, ESTRY, and InfoWorks ICM. - Perform GIS tasks and technical reporting. - Ensure quality assurance by reviewing junior staff work. - Develop and test flood mitigation concepts. - Collaborate with environmental scientists, engineers, and planners. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling and GIS. - Experience in flood risk analysis and hydrological assessments. - Strong interpersonal and communication skills. - Organised and capable of managing multiple projects. - Attention to detail and commitment to high standards. Why Apply? Enjoy a competitive salary of 33,000 - 54,000 and a range of benefits tailored to your lifestyle. Benefit from professional development opportunities and a supportive work environment that values your growth. Company Culture We are committed to creating an inclusive workplace where everyone feels they belong. As an Equal Opportunities Employer, we welcome applications from all backgrounds. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Birmingham, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
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 21, 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
Flood Risk Consultant Location: Peterborough Salary: 33,000 - 54,000 Join a leading consultancy as a Flood Risk Consultant and make a tangible impact on diverse projects across the UK and beyond. With flexible working options, this role offers the perfect balance between professional growth and personal life. The Opportunity As a Flood Risk Consultant, you will be part of a dynamic team within our Water Management Consultancy. You will have the chance to work on a variety of projects, focusing on hydraulic modelling, hydrology, and GIS. This role will allow you to develop and test flood mitigation solutions, ensuring quality assurance and collaborating with environmental scientists, engineers, and planners. Key Responsibilities - Conduct data analysis, hydraulic modelling, and hydrology assessments. - Utilise GIS for technical reporting and flood risk assessments. - Ensure quality assurance by reviewing junior staff work. - Develop flood mitigation concepts and solutions. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling using TUFLOW, Flood Modeller, ESTRY, or InfoWorks ICM. - GIS skills and experience in flood risk analysis. - Motivated, collaborative, and curious with strong organisational abilities. Why Apply? This role offers a competitive salary of 33,000 - 54,000, along with a range of benefits tailored to your health, wellbeing, and lifestyle. Enjoy opportunities for professional development and a hybrid working culture that supports a fulfilling personal life. Company Culture Our organisation values expertise and enthusiasm over hierarchy. We are committed to creating an inclusive environment where everyone can thrive and develop. We offer flexible working arrangements and support for all employees. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Peterborough, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
Jun 21, 2026
Full time
Flood Risk Consultant Location: Peterborough Salary: 33,000 - 54,000 Join a leading consultancy as a Flood Risk Consultant and make a tangible impact on diverse projects across the UK and beyond. With flexible working options, this role offers the perfect balance between professional growth and personal life. The Opportunity As a Flood Risk Consultant, you will be part of a dynamic team within our Water Management Consultancy. You will have the chance to work on a variety of projects, focusing on hydraulic modelling, hydrology, and GIS. This role will allow you to develop and test flood mitigation solutions, ensuring quality assurance and collaborating with environmental scientists, engineers, and planners. Key Responsibilities - Conduct data analysis, hydraulic modelling, and hydrology assessments. - Utilise GIS for technical reporting and flood risk assessments. - Ensure quality assurance by reviewing junior staff work. - Develop flood mitigation concepts and solutions. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling using TUFLOW, Flood Modeller, ESTRY, or InfoWorks ICM. - GIS skills and experience in flood risk analysis. - Motivated, collaborative, and curious with strong organisational abilities. Why Apply? This role offers a competitive salary of 33,000 - 54,000, along with a range of benefits tailored to your health, wellbeing, and lifestyle. Enjoy opportunities for professional development and a hybrid working culture that supports a fulfilling personal life. Company Culture Our organisation values expertise and enthusiasm over hierarchy. We are committed to creating an inclusive environment where everyone can thrive and develop. We offer flexible working arrangements and support for all employees. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Peterborough, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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 20, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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 20, 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)
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 20, 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)
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 20, 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)
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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 20, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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)
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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 hays.co.uk
Jun 20, 2026
Contractor
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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 hays.co.uk
Flood Risk Consultant Location: Manchester Salary: 33,000 - 54,000 Join a leading consultancy in Manchester as a Flood Risk Consultant and make a tangible impact on diverse projects across the UK and beyond. The Opportunity As a Flood Risk Consultant, you'll be part of a dynamic team within our Water Management Consultancy. You'll engage in technical work such as data analysis, hydraulic modelling, hydrology, and GIS. Your role will involve ensuring quality assurance for technical deliverables and developing flood mitigation solutions. Key Responsibilities - Conduct hydraulic modelling using TUFLOW, Flood Modeller, ESTRY, and InfoWorks ICM. - Perform hydrological assessments and flood risk analyses. - Collaborate with environmental scientists, engineers, and planners. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling and GIS skills. - Experience in flood risk assessment and hydrology. - Strong interpersonal and organisational skills. - Motivated, collaborative, and adaptable. Why Apply? This role offers a competitive salary of 33,000 - 54,000, along with flexible working arrangements and opportunities for professional development. You'll have the chance to work on impactful projects and advance your career in flood risk management. Company Culture We are committed to creating an inclusive environment where everyone can thrive. Our flexible policies support work-life balance, and we value diversity in our workforce. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Manchester, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
Jun 20, 2026
Full time
Flood Risk Consultant Location: Manchester Salary: 33,000 - 54,000 Join a leading consultancy in Manchester as a Flood Risk Consultant and make a tangible impact on diverse projects across the UK and beyond. The Opportunity As a Flood Risk Consultant, you'll be part of a dynamic team within our Water Management Consultancy. You'll engage in technical work such as data analysis, hydraulic modelling, hydrology, and GIS. Your role will involve ensuring quality assurance for technical deliverables and developing flood mitigation solutions. Key Responsibilities - Conduct hydraulic modelling using TUFLOW, Flood Modeller, ESTRY, and InfoWorks ICM. - Perform hydrological assessments and flood risk analyses. - Collaborate with environmental scientists, engineers, and planners. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling and GIS skills. - Experience in flood risk assessment and hydrology. - Strong interpersonal and organisational skills. - Motivated, collaborative, and adaptable. Why Apply? This role offers a competitive salary of 33,000 - 54,000, along with flexible working arrangements and opportunities for professional development. You'll have the chance to work on impactful projects and advance your career in flood risk management. Company Culture We are committed to creating an inclusive environment where everyone can thrive. Our flexible policies support work-life balance, and we value diversity in our workforce. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Manchester, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.
Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan
Jun 20, 2026
Contractor
Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jun 20, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
We are looking for an experienced, enthusiatic and highly capable Data Scientist / Statistician , who has an interest in media research, to join our team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £35,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist / Statistician role: Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. You will be working primarily on Barb s audience measurement projects, with opportunities to also work on other media projects such as RAJAR, CFlight and TouchPoints. You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post graduate experience. This is a hands-on role which will provide a breadth of experience. Key responsibilities as our Data Scientist / Statistician will include: Providing statistical expertise across RSMB s work, gaining in-depth knowledge of methodologies used in Barb s measurement services. Utilising programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Manipulation and visualisation of data using tools such as Excel, Power BI & Oracle Analytics. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. Evaluating methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Supporting ad hoc data requests from clients. Opportunities to work on data fusion processes to support comprehensive audience insights. What we are looking for in our Data Scientist / Statistician: The candidate should have broad knowledge of statistical/mathematical techniques Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technical concepts to non-technical stakeholders. What you ll get in return as our Data Scientist / Statistician: Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Benefits you'll receive as our Data Scientist / Statistician: Pension Scheme. 25 days holiday per annum (rising to 30 days), plus bank holidays. Private Medical Insurance. Season Ticket Loans. Group Life and Permanent Health Insurance. Additional Information: Applicants must be eligible to work in the UK. We re not accepting agency applications. If you feel you have the skills and experience to become a Data Scientist / Statistician in this exciting role, then please click apply now We'd love to hear from you!
Jun 20, 2026
Full time
We are looking for an experienced, enthusiatic and highly capable Data Scientist / Statistician , who has an interest in media research, to join our team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £35,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist / Statistician role: Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. You will be working primarily on Barb s audience measurement projects, with opportunities to also work on other media projects such as RAJAR, CFlight and TouchPoints. You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post graduate experience. This is a hands-on role which will provide a breadth of experience. Key responsibilities as our Data Scientist / Statistician will include: Providing statistical expertise across RSMB s work, gaining in-depth knowledge of methodologies used in Barb s measurement services. Utilising programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Manipulation and visualisation of data using tools such as Excel, Power BI & Oracle Analytics. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. Evaluating methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Supporting ad hoc data requests from clients. Opportunities to work on data fusion processes to support comprehensive audience insights. What we are looking for in our Data Scientist / Statistician: The candidate should have broad knowledge of statistical/mathematical techniques Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technical concepts to non-technical stakeholders. What you ll get in return as our Data Scientist / Statistician: Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Benefits you'll receive as our Data Scientist / Statistician: Pension Scheme. 25 days holiday per annum (rising to 30 days), plus bank holidays. Private Medical Insurance. Season Ticket Loans. Group Life and Permanent Health Insurance. Additional Information: Applicants must be eligible to work in the UK. We re not accepting agency applications. If you feel you have the skills and experience to become a Data Scientist / Statistician in this exciting role, then please click apply now We'd love to hear from you!
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 19, 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: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 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 19, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 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)
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Jun 19, 2026
Contractor
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Talentmark are recruiting for a Principal Scientist to join a leading full-service CRO at their site based in South Wales on a permanent basis. The Company: Our client is an established and expanding CRO that offer full-service clinical development solutions. Location: This Principal Scientist role is located a commutable distance form Cardiff, Newport and surrounding areas. Your main duties will be to: Degree in a scientific discipline or equivalent; advanced qualification desirable Extensive experience using LC-MS/MS in a regulated laboratory environment (GCP, GLP, GMP) Proven track record of leading LC-MS/MS-based studies, including method development, validation, and routine sample analysis Deep technical expertise in mass spectrometry Strong understanding of bioanalytical method validation Experience in reviewing and approving analytical data, reports, and study documentation Your Background: MSc or PhD in a relevant discipline Experience within a CRO or clinical trial environment Knowledge of MHRA Phase I Accreditation scheme requirements Experience in process improvement, operational efficiency, or workflow optimisation Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (phone number removed) in all correspondence.
Jun 19, 2026
Full time
Talentmark are recruiting for a Principal Scientist to join a leading full-service CRO at their site based in South Wales on a permanent basis. The Company: Our client is an established and expanding CRO that offer full-service clinical development solutions. Location: This Principal Scientist role is located a commutable distance form Cardiff, Newport and surrounding areas. Your main duties will be to: Degree in a scientific discipline or equivalent; advanced qualification desirable Extensive experience using LC-MS/MS in a regulated laboratory environment (GCP, GLP, GMP) Proven track record of leading LC-MS/MS-based studies, including method development, validation, and routine sample analysis Deep technical expertise in mass spectrometry Strong understanding of bioanalytical method validation Experience in reviewing and approving analytical data, reports, and study documentation Your Background: MSc or PhD in a relevant discipline Experience within a CRO or clinical trial environment Knowledge of MHRA Phase I Accreditation scheme requirements Experience in process improvement, operational efficiency, or workflow optimisation Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (phone number removed) in all correspondence.
Based in Manchester, this permanent full-time role plays a key part in supporting football decision-making across City Football Group (CFG) through advanced data engineering and analytics solutions. Working within the Football Intelligence team, you will help build and maintain scalable, reliable and well-governed data systems that place high-quality insight into the hands of key football stakeholders and performance practitioners. Who We Are Founded in 2013, City Football Group is the world s leading private owner and operator of football clubs, with teams across the globe connected by a shared belief in doing things differently. Alongside our clubs, we invest in football-related businesses and build partnerships that help the game, and the communities around it, thrive. Everything we do is guided by our purpose: empowering better lives through football. Rooted in more than a century of City football, we are proud of the role our clubs play locally and globally, creating positive impact on and off the pitch. Within our Football Intelligence team, we use data science, analytics and technology to support smarter and faster football decision-making across the CFG network. Collaboration, innovation and continuous improvement are central to how we work, helping to create data-driven solutions that support performance both on and off the pitch. The Role You will play a key role in developing and maintaining robust data engineering solutions that support football operations and strategic decision-making across City Football Group. Working closely with data scientists, analysts and practitioners, you will help ensure large volumes of football data are accurately ingested, transformed and integrated into reliable systems and user-facing solutions. Alongside pipeline development and quality assurance, you will support the productionisation of machine learning and statistical models, helping to ensure analytics solutions are scalable, efficient and maintainable. You will contribute to embedding software engineering best practice across analytics delivery, supporting consistent, reliable and high-quality data products. You will also contribute to improving documentation, workflows and operational processes across the Football Intelligence function, helping to create well-governed systems that reduce operational risk and support long-term scalability. Through your technical expertise, collaboration and problem-solving approach, you will help strengthen the impact of analytics across football operations. What You ll Bring Multi-year experience within data engineering or analytics engineering environments Highly competent in Python, SQL Server and Databricks SQL Experience working with data pipelines, workflow management tools and cloud-based data platforms in Azure Data Factory, Databricks and Spark Understanding of software engineering best practices including CI/CD and automated testing Ability to manage project timelines and communicate effectively with stakeholders Collaborative approach when working across technical and operational teams Why Choose Us Working at City Football Group means being supported to do your best, with the flexibility and encouragement to look after your wellbeing. We are committed to helping our people learn, grow and thrive in a culture built on collaboration, openness and hard work. As part of our team, you will receive 26 days annual leave plus a day off for your birthday, private healthcare and dental cover, and an annual discretionary bonus. You will also have access to a Health Cash Plan, Employee Assistance Programme with 24/7 GP support, and a company pension and life assurance. You can enjoy a range of additional benefits, including cycle to work, Give As You Earn, discounted match tickets, savings in the City Store, a free City+ subscription, stadium tour discounts, and wider retail and lifestyle offers. How to Apply If this role sounds like it is for you, we would love to hear from you. To apply, please submit your application via our careers site by 24 June 2026. We encourage you to apply as soon as you can. We work with a select group of agency partners and do not accept unsolicited applications. Any CVs submitted without prior agreement will be treated as a direct application. Equal Opportunities City Football Group is committed to achieving workforce diversity and we pride ourselves on creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, national origin, race, age, sex, gender identity, disability - physical or hidden, sexual orientation, veteran status, religious belief, or any other characteristics protected by law. We provide a fully inclusive and accessible recruitment process. We encourage all applicants to reach out if they require any support or accommodations to enable them to thrive throughout our recruitment process. Please contact . Due to our safeguarding promise, all UK based CFG roles will be subject to a DBS check upon commencing employment with us. This will be either a basic, standard or enhanced check depending on the job role and responsibilities.
Jun 19, 2026
Full time
Based in Manchester, this permanent full-time role plays a key part in supporting football decision-making across City Football Group (CFG) through advanced data engineering and analytics solutions. Working within the Football Intelligence team, you will help build and maintain scalable, reliable and well-governed data systems that place high-quality insight into the hands of key football stakeholders and performance practitioners. Who We Are Founded in 2013, City Football Group is the world s leading private owner and operator of football clubs, with teams across the globe connected by a shared belief in doing things differently. Alongside our clubs, we invest in football-related businesses and build partnerships that help the game, and the communities around it, thrive. Everything we do is guided by our purpose: empowering better lives through football. Rooted in more than a century of City football, we are proud of the role our clubs play locally and globally, creating positive impact on and off the pitch. Within our Football Intelligence team, we use data science, analytics and technology to support smarter and faster football decision-making across the CFG network. Collaboration, innovation and continuous improvement are central to how we work, helping to create data-driven solutions that support performance both on and off the pitch. The Role You will play a key role in developing and maintaining robust data engineering solutions that support football operations and strategic decision-making across City Football Group. Working closely with data scientists, analysts and practitioners, you will help ensure large volumes of football data are accurately ingested, transformed and integrated into reliable systems and user-facing solutions. Alongside pipeline development and quality assurance, you will support the productionisation of machine learning and statistical models, helping to ensure analytics solutions are scalable, efficient and maintainable. You will contribute to embedding software engineering best practice across analytics delivery, supporting consistent, reliable and high-quality data products. You will also contribute to improving documentation, workflows and operational processes across the Football Intelligence function, helping to create well-governed systems that reduce operational risk and support long-term scalability. Through your technical expertise, collaboration and problem-solving approach, you will help strengthen the impact of analytics across football operations. What You ll Bring Multi-year experience within data engineering or analytics engineering environments Highly competent in Python, SQL Server and Databricks SQL Experience working with data pipelines, workflow management tools and cloud-based data platforms in Azure Data Factory, Databricks and Spark Understanding of software engineering best practices including CI/CD and automated testing Ability to manage project timelines and communicate effectively with stakeholders Collaborative approach when working across technical and operational teams Why Choose Us Working at City Football Group means being supported to do your best, with the flexibility and encouragement to look after your wellbeing. We are committed to helping our people learn, grow and thrive in a culture built on collaboration, openness and hard work. As part of our team, you will receive 26 days annual leave plus a day off for your birthday, private healthcare and dental cover, and an annual discretionary bonus. You will also have access to a Health Cash Plan, Employee Assistance Programme with 24/7 GP support, and a company pension and life assurance. You can enjoy a range of additional benefits, including cycle to work, Give As You Earn, discounted match tickets, savings in the City Store, a free City+ subscription, stadium tour discounts, and wider retail and lifestyle offers. How to Apply If this role sounds like it is for you, we would love to hear from you. To apply, please submit your application via our careers site by 24 June 2026. We encourage you to apply as soon as you can. We work with a select group of agency partners and do not accept unsolicited applications. Any CVs submitted without prior agreement will be treated as a direct application. Equal Opportunities City Football Group is committed to achieving workforce diversity and we pride ourselves on creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, national origin, race, age, sex, gender identity, disability - physical or hidden, sexual orientation, veteran status, religious belief, or any other characteristics protected by law. We provide a fully inclusive and accessible recruitment process. We encourage all applicants to reach out if they require any support or accommodations to enable them to thrive throughout our recruitment process. Please contact . Due to our safeguarding promise, all UK based CFG roles will be subject to a DBS check upon commencing employment with us. This will be either a basic, standard or enhanced check depending on the job role and responsibilities.
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Jun 19, 2026
Full time
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
