Python Developer / Backend Software Engineer (Python R&D) Cambridge onsite to £55k Would you like to work on Greenfield projects at the cutting edge of medical technology? You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions. As a Python Developer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving technology that you'll be able to influence. Location: You'll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle You have a good understanding of TDD, CI/CD practices and modern software engineering best practices You have experience with embedded software and / or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior engineers Ideally you will also have experience with some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust What's in it for you: As a Python Developer you will receive a competitive package: Salary to £55k Bonus Healthcare Pension Continual learning and self development Complex interesting work at the cutting edge of technology Apply now to find out more about this Python Developer / Backend Software Engineer (Python R&D TDD) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
01/04/2026
Full time
Python Developer / Backend Software Engineer (Python R&D) Cambridge onsite to £55k Would you like to work on Greenfield projects at the cutting edge of medical technology? You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions. As a Python Developer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving technology that you'll be able to influence. Location: You'll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle You have a good understanding of TDD, CI/CD practices and modern software engineering best practices You have experience with embedded software and / or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior engineers Ideally you will also have experience with some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust What's in it for you: As a Python Developer you will receive a competitive package: Salary to £55k Bonus Healthcare Pension Continual learning and self development Complex interesting work at the cutting edge of technology Apply now to find out more about this Python Developer / Backend Software Engineer (Python R&D TDD) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Scientist Position Description Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment. Your future duties and responsibilities In this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You'll collaborate closely with Distribution Network Operators, research institutions, and internal teams to understand operational challenges and turn emerging technologies into practical, deployable solutions that drive resilience and performance. You'll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you'll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making. Key responsibilities include: Collaborate & Discover - Work with DNOs to understand operational challenges and identify innovation opportunities Design & Deliver - Develop data-driven models, algorithms, and analytical approaches that support network optimisation Innovate & Translate - Partner with universities and research bodies to turn emerging technologies into applied solutions Communicate & Influence - Engage with engineering, product, consulting, and business teams to refine technical outcomes Prototype & Deploy - Support innovation projects from ideation through testing and real-world implementation Required qualifications to be successful in this role To succeed, you will bring strong experience in data science or AI applied within the energy sector, combined with the ability to collaborate across disciplines and communicate complex ideas clearly. You'll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action. You should have: Experience working within the energy sector, ideally electricity networks or smart grids Experience applying AI/ML techniques in engineering or operational contexts Strong Python programming skills and experience with data analysis or machine learning frameworks Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
01/04/2026
Full time
Data Scientist Position Description Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment. Your future duties and responsibilities In this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You'll collaborate closely with Distribution Network Operators, research institutions, and internal teams to understand operational challenges and turn emerging technologies into practical, deployable solutions that drive resilience and performance. You'll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you'll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making. Key responsibilities include: Collaborate & Discover - Work with DNOs to understand operational challenges and identify innovation opportunities Design & Deliver - Develop data-driven models, algorithms, and analytical approaches that support network optimisation Innovate & Translate - Partner with universities and research bodies to turn emerging technologies into applied solutions Communicate & Influence - Engage with engineering, product, consulting, and business teams to refine technical outcomes Prototype & Deploy - Support innovation projects from ideation through testing and real-world implementation Required qualifications to be successful in this role To succeed, you will bring strong experience in data science or AI applied within the energy sector, combined with the ability to collaborate across disciplines and communicate complex ideas clearly. You'll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action. You should have: Experience working within the energy sector, ideally electricity networks or smart grids Experience applying AI/ML techniques in engineering or operational contexts Strong Python programming skills and experience with data analysis or machine learning frameworks Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Backend Software Engineer / Developer (Python Data ML) Remote UK to £75k Are you a data savvy Backend Software Engineer with strong Python experience? You could be progressing your career in as a hands-on Backend Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence. What's in it for you: As a Backend Software Engineer / Developer you will receive a competitive package: Up to £75,000 salary Flexible / remote working including flexible working hours Ability to work 30 days from any EU country Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group) Your role: As a Backend Software Engineer you will play a key role in building the foundational platforms that enable Machine Learning at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including data scientists and ML engineers, you'll help to support the full ML lifecycle, from experimentation and training to deployment and monitoring, continuously learning and stay up to date with emerging technologies, tools and industry trends to ensure the platform remains robust and future-proof. There's a supportive, diverse environment where you'll have your voice heard. Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can work from home anywhere in the UK; you can also work at times that suit you. About you: You have strong Python backend development skills You have a deep knowledge of software design principles and architecture You have experience of working with Machine Learning models and workflows in production environments You have a good knowledge of software development practices like TDD and BDD, ensuring code is marked by quality, readability and maintainability You have a good working knowledge of CI/CD, IaC, containerisation technologies You have experience of working with messaging / streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL) You're proficient with cloud-based systems (preferably AWS) You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend Software Engineer / Developer (Python Data ML) opportunity.
01/04/2026
Full time
Backend Software Engineer / Developer (Python Data ML) Remote UK to £75k Are you a data savvy Backend Software Engineer with strong Python experience? You could be progressing your career in as a hands-on Backend Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence. What's in it for you: As a Backend Software Engineer / Developer you will receive a competitive package: Up to £75,000 salary Flexible / remote working including flexible working hours Ability to work 30 days from any EU country Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group) Your role: As a Backend Software Engineer you will play a key role in building the foundational platforms that enable Machine Learning at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including data scientists and ML engineers, you'll help to support the full ML lifecycle, from experimentation and training to deployment and monitoring, continuously learning and stay up to date with emerging technologies, tools and industry trends to ensure the platform remains robust and future-proof. There's a supportive, diverse environment where you'll have your voice heard. Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can work from home anywhere in the UK; you can also work at times that suit you. About you: You have strong Python backend development skills You have a deep knowledge of software design principles and architecture You have experience of working with Machine Learning models and workflows in production environments You have a good knowledge of software development practices like TDD and BDD, ensuring code is marked by quality, readability and maintainability You have a good working knowledge of CI/CD, IaC, containerisation technologies You have experience of working with messaging / streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL) You're proficient with cloud-based systems (preferably AWS) You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend Software Engineer / Developer (Python Data ML) opportunity.
Technical Graduate 2026 Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a CGI Technical Graduate you'll be trusted with responsibility from the start. Whether you're developing full-stack applications, engineering data pipelines, designing cloud infrastructures, or analysing data for insights, your work will contribute directly to impactful projects across multiple industries. You'll have the opportunity to work on complex software systems, drive digital transformation, and implement cutting-edge technologies that make a real difference. Your future duties and responsibilities In this role, you'll apply your STEM expertise to help shape industries, improve services, and create meaningful societal change by harnessing the power of technology to drive innovation. You will: Design, develop, and test technical solutions for live projects across various sectors such as Government, Energy & Utilities, Retail Oil & Gas, Health, Financial services, and ManufacturingCollaborate with cross-functional teams to solve complex real-world challenges. Explore and apply emerging technologies in areas such as AI, cloud, data analytics and IoT. Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role. Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles are available in London, Leatherhead, Chippenham, Reading, Bristol, Gloucester, Manchester, Aberdeen, , Belfast, Bridgend, , Edinburgh, , Glasgow, Leicester, Liverpool, Newcastle, , Leeds, Nottingham, Solihull, Telford. As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. You should have: A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency). Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
01/04/2026
Full time
Technical Graduate 2026 Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a CGI Technical Graduate you'll be trusted with responsibility from the start. Whether you're developing full-stack applications, engineering data pipelines, designing cloud infrastructures, or analysing data for insights, your work will contribute directly to impactful projects across multiple industries. You'll have the opportunity to work on complex software systems, drive digital transformation, and implement cutting-edge technologies that make a real difference. Your future duties and responsibilities In this role, you'll apply your STEM expertise to help shape industries, improve services, and create meaningful societal change by harnessing the power of technology to drive innovation. You will: Design, develop, and test technical solutions for live projects across various sectors such as Government, Energy & Utilities, Retail Oil & Gas, Health, Financial services, and ManufacturingCollaborate with cross-functional teams to solve complex real-world challenges. Explore and apply emerging technologies in areas such as AI, cloud, data analytics and IoT. Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role. Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles are available in London, Leatherhead, Chippenham, Reading, Bristol, Gloucester, Manchester, Aberdeen, , Belfast, Bridgend, , Edinburgh, , Glasgow, Leicester, Liverpool, Newcastle, , Leeds, Nottingham, Solihull, Telford. As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. You should have: A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency). Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Hirexa Solutions UK
Hemel Hempstead, Hertfordshire
Experience 12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures. Job Summary We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms. The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics. Key Responsibilities Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS. Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting. Required Technical Skills Data Platform Strong expertise in Snowflake Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization. Cloud Platform Strong experience with Amazon Web Services, including: S3 IAM AWS Glue Lambda CloudWatch Data Transformation Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines. Programming / Query Strong expertise in SQL for data transformation and performance optimization Python (preferred) for automation and data engineering tasks. Data Engineering Enterprise ETL / ELT pipeline architecture Data warehousing and enterprise data modelling Dimensional modelling (Star Schema, Snowflake Schema) Data pipeline scalability and reliability design. AI / Data Science Exposure Experience supporting AI/ML data pipelines and data preparation for machine learning models. Understanding of predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management, and enterprise data catalog tools. Experience with BI tools such as Tableau Microsoft Power BI. Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting. Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.
01/04/2026
Contractor
Experience 12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures. Job Summary We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms. The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics. Key Responsibilities Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS. Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting. Required Technical Skills Data Platform Strong expertise in Snowflake Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization. Cloud Platform Strong experience with Amazon Web Services, including: S3 IAM AWS Glue Lambda CloudWatch Data Transformation Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines. Programming / Query Strong expertise in SQL for data transformation and performance optimization Python (preferred) for automation and data engineering tasks. Data Engineering Enterprise ETL / ELT pipeline architecture Data warehousing and enterprise data modelling Dimensional modelling (Star Schema, Snowflake Schema) Data pipeline scalability and reliability design. AI / Data Science Exposure Experience supporting AI/ML data pipelines and data preparation for machine learning models. Understanding of predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management, and enterprise data catalog tools. Experience with BI tools such as Tableau Microsoft Power BI. Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting. Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.
Location Newport, NP10 8QQ About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices. Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability. Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production. Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc. Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation. Attending Team and Agile Scrum ceremonies. Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion. Promoting and encouraging the use of test automation and infrastructure-as-code within delivery teams. Person specification Essential Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture. Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration. Experience with automated testing and embedding this in CI/CD pipelines. Demonstrable experience in service support including troubleshooting and incident resolution. Experience in identification and tracking of risks and issues. Experience of knowledge sharing and mentoring junior members of the team. Technical Essential Substantial development or scripting experience in one or more of the following: Python Bash PowerShell Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools. Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python Net Core / C# NextJs / Node frontend Experience with Infrastructure as Code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent. Experience in managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred).
01/04/2026
Full time
Location Newport, NP10 8QQ About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices. Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability. Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production. Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc. Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation. Attending Team and Agile Scrum ceremonies. Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion. Promoting and encouraging the use of test automation and infrastructure-as-code within delivery teams. Person specification Essential Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture. Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration. Experience with automated testing and embedding this in CI/CD pipelines. Demonstrable experience in service support including troubleshooting and incident resolution. Experience in identification and tracking of risks and issues. Experience of knowledge sharing and mentoring junior members of the team. Technical Essential Substantial development or scripting experience in one or more of the following: Python Bash PowerShell Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools. Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python Net Core / C# NextJs / Node frontend Experience with Infrastructure as Code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent. Experience in managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred).
Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
01/04/2026
Full time
Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data and AI at the core of their product, they are scaling quickly and investing heavily in their engineering and AI capabilities. You will join a collaborative, fully remote team that values transparency, curiosity and speed of execution. The Role You will sit in a small, focused AI team and work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve product performance. Collaborating with product and engineering teams to integrate models into user-facing features. Monitoring and optimising models in production, ensuring reliability, scalability and quality. Your Skills And Experience Strong commercial experience as an AI, ML or Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Genuine interest in crypto and digital assets, with readiness to learn domain-specific tools such as wallet and blockchain analytics. What They Offer Fully remote working within the UK, with flexibility and autonomy. A modern tech stack and the opportunity to work with the latest AI tools and techniques. A culture that values experimentation, learning and impact, with clear opportunities for progression as the AI function grows. How To Apply If you are interested in this Senior AI (ML) Engineer role, please apply with your CV.
01/04/2026
Full time
Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data and AI at the core of their product, they are scaling quickly and investing heavily in their engineering and AI capabilities. You will join a collaborative, fully remote team that values transparency, curiosity and speed of execution. The Role You will sit in a small, focused AI team and work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve product performance. Collaborating with product and engineering teams to integrate models into user-facing features. Monitoring and optimising models in production, ensuring reliability, scalability and quality. Your Skills And Experience Strong commercial experience as an AI, ML or Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Genuine interest in crypto and digital assets, with readiness to learn domain-specific tools such as wallet and blockchain analytics. What They Offer Fully remote working within the UK, with flexibility and autonomy. A modern tech stack and the opportunity to work with the latest AI tools and techniques. A culture that values experimentation, learning and impact, with clear opportunities for progression as the AI function grows. How To Apply If you are interested in this Senior AI (ML) Engineer role, please apply with your CV.
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You'll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability. The role will involve occasional travel to both Cambridge and Stevenage.
01/04/2026
Full time
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You'll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability. The role will involve occasional travel to both Cambridge and Stevenage.
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You'll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Infrastructure Engineer / Systems Administrator will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Infrastructure Engineer / Systems Administrator and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
01/04/2026
Full time
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You'll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Infrastructure Engineer / Systems Administrator will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Infrastructure Engineer / Systems Administrator and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
Role: Data Scientist Location: London (mostly remote / hybrid options available) Salary: Up to circa £65,000 The Role We are looking for a Data Scientist to design and deploy machine learning solutions for our client, a data analytics and software development company, working on a project for a high-profile financial intuition initially, with a strong focus on Large Language Models (LLMs). You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems, writing clean, production-ready code Select the best algorithms for each problem What You Will Bring 2-3+ years in Data Science or similar role Strong Python and machine learning expertise At least 2 years' hands-on experience working with LLMs (e.g. fine-tuning, prompt engineering, deployment) Experience with modelling techniques (e.g. regression, clustering) Degree in Data Science, Statistics or related subject
01/04/2026
Full time
Role: Data Scientist Location: London (mostly remote / hybrid options available) Salary: Up to circa £65,000 The Role We are looking for a Data Scientist to design and deploy machine learning solutions for our client, a data analytics and software development company, working on a project for a high-profile financial intuition initially, with a strong focus on Large Language Models (LLMs). You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems, writing clean, production-ready code Select the best algorithms for each problem What You Will Bring 2-3+ years in Data Science or similar role Strong Python and machine learning expertise At least 2 years' hands-on experience working with LLMs (e.g. fine-tuning, prompt engineering, deployment) Experience with modelling techniques (e.g. regression, clustering) Degree in Data Science, Statistics or related subject
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
01/04/2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
DevOps Engineer Location: Newport Salary: £47,000 - £54,000 (including allowances) Job Type: Full-time, Permanent Business Area: DDaT - Technology Are you passionate about collaborative working and problem-solving?Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability?If you are looking for a role where you are treated as an individual and supported in your professional development, then this DevOps Engineer position is for you! An excellent, exciting opportunity within a growing civil service business, the Platform Engineering group during the companies digital transformation journey. This role is perfect for someone who wants to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Day-to-Day of the Role: Support all aspects of the software development lifecycle, applying DevOps principles. Lead on developing, implementing, enhancing, and managing DevOps practices following agreed processes and best practices. Design, release, and implement automated, efficient delivery pipelines and manage deployments onto Production. Provide administration, configuration, and troubleshooting support for CI & CD pipelines and hosted container applications. Lead on delivery, integration, administration, and configuration of DevOps tools. Conduct reviews and quality checks for newly delivered code and advocate for security and performance standards. Implement and configure DevOps specific monitoring, alerting, auditing, and notification strategies. Contribute to technical decisions and directions in a collaborative team environment. Attend Team and Agile Scrum ceremonies. Promote and encourage the use of test automation and infrastructure-as-code within delivery teams. Required Skills & Qualifications: Understanding of DevOps principles and experience in a DevOps or iterative development culture. Demonstrable experience with CI & CD tools, including pipeline implementation. Awareness of automated testing and embedding this in CI/CD pipelines. Strong troubleshooting and problem-solving skills with experience in service support. Technical skills in Python, Bash, PowerShell. Experience with Azure DevOps Pipelines or other CI/CD orchestration tools. Experience in containerisation technologies and platforms such as Docker or Azure container services. Experience managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred). Experience supporting the build and deployment of, or coding in the following: Python .NET Core / C# NextJS / Node Frontend Experience with Infrastructure as code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure Container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry Experience in managing and supporting distributed source code repositories (Git). Benefits: A Civil Service Pension with an employer contribution of 28.97%. Hybrid working arrangements with at least 20% of time spent onsite. Opportunities for professional and career development. To apply for this DevOps Engineer position, please submit your CV to be considered immediately.
01/04/2026
Full time
DevOps Engineer Location: Newport Salary: £47,000 - £54,000 (including allowances) Job Type: Full-time, Permanent Business Area: DDaT - Technology Are you passionate about collaborative working and problem-solving?Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability?If you are looking for a role where you are treated as an individual and supported in your professional development, then this DevOps Engineer position is for you! An excellent, exciting opportunity within a growing civil service business, the Platform Engineering group during the companies digital transformation journey. This role is perfect for someone who wants to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Day-to-Day of the Role: Support all aspects of the software development lifecycle, applying DevOps principles. Lead on developing, implementing, enhancing, and managing DevOps practices following agreed processes and best practices. Design, release, and implement automated, efficient delivery pipelines and manage deployments onto Production. Provide administration, configuration, and troubleshooting support for CI & CD pipelines and hosted container applications. Lead on delivery, integration, administration, and configuration of DevOps tools. Conduct reviews and quality checks for newly delivered code and advocate for security and performance standards. Implement and configure DevOps specific monitoring, alerting, auditing, and notification strategies. Contribute to technical decisions and directions in a collaborative team environment. Attend Team and Agile Scrum ceremonies. Promote and encourage the use of test automation and infrastructure-as-code within delivery teams. Required Skills & Qualifications: Understanding of DevOps principles and experience in a DevOps or iterative development culture. Demonstrable experience with CI & CD tools, including pipeline implementation. Awareness of automated testing and embedding this in CI/CD pipelines. Strong troubleshooting and problem-solving skills with experience in service support. Technical skills in Python, Bash, PowerShell. Experience with Azure DevOps Pipelines or other CI/CD orchestration tools. Experience in containerisation technologies and platforms such as Docker or Azure container services. Experience managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred). Experience supporting the build and deployment of, or coding in the following: Python .NET Core / C# NextJS / Node Frontend Experience with Infrastructure as code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure Container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry Experience in managing and supporting distributed source code repositories (Git). Benefits: A Civil Service Pension with an employer contribution of 28.97%. Hybrid working arrangements with at least 20% of time spent onsite. Opportunities for professional and career development. To apply for this DevOps Engineer position, please submit your CV to be considered immediately.
ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: Design and implement pipelines for training, evaluating, deploying, and monitoring detection models Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows Collaborate with backend and product teams to define integration requirements for trust detection services Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring Uphold strong standards around testing, observability, and operational excellence Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience Strong commercial experience building and deploying ML pipelines in production Experience with asynchronous ML inference pipelines Deep understanding of end-to-end ML workflows from research through to deployment Ability to operate with ownership in complex, fast-moving environments Strong communication skills for working with both technical and non-technical stakeholders Experience designing systems within modern cloud environments such as AWS or GCP Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.
01/04/2026
Contractor
ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: Design and implement pipelines for training, evaluating, deploying, and monitoring detection models Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows Collaborate with backend and product teams to define integration requirements for trust detection services Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring Uphold strong standards around testing, observability, and operational excellence Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience Strong commercial experience building and deploying ML pipelines in production Experience with asynchronous ML inference pipelines Deep understanding of end-to-end ML workflows from research through to deployment Ability to operate with ownership in complex, fast-moving environments Strong communication skills for working with both technical and non-technical stakeholders Experience designing systems within modern cloud environments such as AWS or GCP Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
01/04/2026
Full time
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
01/04/2026
Full time
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
01/04/2026
Full time
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
01/04/2026
Full time
Job Description: Smart Factory Engineer or Automation Engineer role Location: Birstall, West Yorkshire (on site role) Reporting to: Technical Manager What are we looking for: Experienced controls, automation, IT/OT, systems or MES Engineer with experience in PLCs (preferably Rockwell), factory SCADA systems & MES (Manufacturing Execution System) Solid project Management experience from concept to validation Strong problem-solving & communication skills Have worked in a high-performance culture and can partner closely with multiple stakeholders Proficient in SQL for database queries, scripting, and understanding of IT infrastructure Have a good understanding of lean principles and key losses within manufacturing Previous involvement in a digital transformation rollout is a plus What will be your key responsibilities? Connect factory control systems, sensors, and ERP/MES systems for real-time data monitoring, analytics, and automation Use data analytics to identify bottlenecks and improve yield and quality through the application of lean or six sigma methodologies Execute new solution testing and deployment to provide advanced process control, i.e., Machine Learning algorithms, Machine vision applications, closed loop statistical process control, etc Support the design of digital standards within the COE with input fromthe local site Project manage digital infrastructure extension projects with local teams (Wi-Fi network extension, digital tool addition to workplaces) Collaborate with operations, IT, industrial Engineering and reliability teams to drive change management Actively participate in the regional and global forums for benchmarking and reapplication Bring the outside in through constant scanning of best practices in the industry What Can You Expect from Mars? Consistently ranked among the UK's Top 10 'Great Places to Work' since 2016. Competitive salary, yearly bonus, and comprehensive benefits package. Equal Parental Leave: 52 weeks off (26 paid at 90% salary) for all new parents. Mentoring and development support from day one, including access to Mars University. Purpose-driven work environment focused on building a better world tomorrow. Succession potential for director-level roles through strong performance and personal development. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here
Harnham - Data & Analytics Recruitment
Leicester, Leicestershire
Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work. The Team You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist. The Role As a Senior Data Scientist, you will: Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team. Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches. Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering. Deploy models into production using Python, SQL, Azure ML and an internal deployment platform. Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy. Mentor junior team members and contribute to setting technical standards within the team. Your Skills And Experience You will bring: Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling. Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering. Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes. How To Apply If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.
01/04/2026
Full time
Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work. The Team You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist. The Role As a Senior Data Scientist, you will: Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team. Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches. Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering. Deploy models into production using Python, SQL, Azure ML and an internal deployment platform. Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy. Mentor junior team members and contribute to setting technical standards within the team. Your Skills And Experience You will bring: Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling. Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering. Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes. How To Apply If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.
IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible for the day to day operation of our business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
31/03/2026
Full time
IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible for the day to day operation of our business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
