DATA SCIENTIST SALARY BETWEEN £50,000-£60,000 LONDON HYBRID WORKING (ONCE A WEEK IN-OFFICE) Harnham are working with an early-stage FinTech lender that is looking to hire a Data Scientist to join its growing credit function. This is an excellent opportunity for someone with strong quantitative skills to have a direct impact on lending decisions and help shape a business from an early stage. THE COMPANY This growing FinTech lender is building a modern lending platform that combines data-driven decision making with strong credit risk practices. Having recently secured funding and obtained the regulatory foundations needed for growth, the business is entering an exciting phase of expansion. Led by an experienced leadership team with a proven track record in consumer lending and financial services, the company offers the opportunity to join early, learn from industry experts, and play a key role in shaping the future of the business. THE ROLE As a Data Scientist, you will focus on credit risk, decisioning, and lending strategy. You will play a key role in developing and implementing analytical solutions that support lending decisions, pricing, affordability assessments, and portfolio performance. Specifically, you can expect to be involved in the following: Building and monitoring credit risk scorecards, pricing models, and decisioning strategies. Developing analytical solutions using customer, transactional, and external data sources. Supporting affordability analysis, portfolio monitoring, and performance reporting. Enhancing lending policies and strategies through data-driven insights. Collaborating with commercial, product, and technology teams to improve lending outcomes. SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: A strong academic background with a degree in a quantitative STEM discipline. 2-4 years of experience in Data Science, Credit Risk Analytics, or a related quantitative field. Experience within financial services, lending, insurance, or a similarly regulated environment. Strong Python and SQL skills. Knowledge of statistical modelling and machine learning techniques. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. BENEFITS The successful Data Scientist will receive a salary up to £60,000.
Aug 19, 2026
Full time
DATA SCIENTIST SALARY BETWEEN £50,000-£60,000 LONDON HYBRID WORKING (ONCE A WEEK IN-OFFICE) Harnham are working with an early-stage FinTech lender that is looking to hire a Data Scientist to join its growing credit function. This is an excellent opportunity for someone with strong quantitative skills to have a direct impact on lending decisions and help shape a business from an early stage. THE COMPANY This growing FinTech lender is building a modern lending platform that combines data-driven decision making with strong credit risk practices. Having recently secured funding and obtained the regulatory foundations needed for growth, the business is entering an exciting phase of expansion. Led by an experienced leadership team with a proven track record in consumer lending and financial services, the company offers the opportunity to join early, learn from industry experts, and play a key role in shaping the future of the business. THE ROLE As a Data Scientist, you will focus on credit risk, decisioning, and lending strategy. You will play a key role in developing and implementing analytical solutions that support lending decisions, pricing, affordability assessments, and portfolio performance. Specifically, you can expect to be involved in the following: Building and monitoring credit risk scorecards, pricing models, and decisioning strategies. Developing analytical solutions using customer, transactional, and external data sources. Supporting affordability analysis, portfolio monitoring, and performance reporting. Enhancing lending policies and strategies through data-driven insights. Collaborating with commercial, product, and technology teams to improve lending outcomes. SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: A strong academic background with a degree in a quantitative STEM discipline. 2-4 years of experience in Data Science, Credit Risk Analytics, or a related quantitative field. Experience within financial services, lending, insurance, or a similarly regulated environment. Strong Python and SQL skills. Knowledge of statistical modelling and machine learning techniques. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. BENEFITS The successful Data Scientist will receive a salary up to £60,000.
Ground Segment Software Engineer (Java/C++/Python) Oxford - Hybrid 2 days per week 65000 - 95000 + Benefits Must Have's - Must possess an EU or Five Eyes passport (UK, US, Canada, New Zealand, Australia) - Has worked Full Stack with Java, Python or C++ paired with JS/TS, ideally React. - Must have worked on Mission-Critical Systems within the space sector, ideally on Ground Segment systems. Your new company This leading Space Technology provider is seeking 2 experienced Senior Full Stack Developers to join their expanding team. With a proven track record of successful missions and partnerships with major space agencies and commercial operators worldwide, this company is at the cutting edge of innovation. You'll be part of a team that's pioneering technologies for on-orbit servicing with the end goal of making space exploration sustainable long-term. If you want to work for a business that combines purpose with advanced technology, this is the opportunity for you. The role is based from their rural Oxfordshire office, so own-transport will be required to work minimum 2 days per week in the office giving you access to secure projects. Your new role You'll help to develop mission-critical software (often greenfield) for ground systems supporting advanced space missions. You'll take ownership of designing and developing scalable backend services using modern programming languages, while also creating dynamic and responsive user interfaces with contemporary frameworks. You'll architect and optimise databases to ensure performance and reliability, and work with containerised applications using Docker and Kubernetes. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full lifecycle exposure. It's a business very much in scale-up mode, 10+ years in business and with a global headcount of over 500 so a very exciting time to be joining with significant investment and progression opps within the Engineering functions. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline. Must have at least five years development experience using Java, Python or C++ for Back end Development and 2+ years working with JavaScript on the Front End, ideally with the React framework. It is essential you've worked on the development of mission-critical applications within space, orbit, ground segment or satellites. Additional expertise in container orchestration, CI/CD tools, SQL databases, and Git workflows will set you apart. Familiarity with AWS or Azure is desirable, as is knowledge of security best practices in software development. What you'll get in return You'll work for a technology focused company building innovative products. You'll receive private healthcare, life insurance, and relocation support if needed, plus holiday starting at 25 days rising to 28. You'll work in a state-of-the-art facility with a diverse, international team, parking on site and flexible working hours, including chance to work a compressed week (9 in 10 days). What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on (phone number removed). At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 19, 2026
Full time
Ground Segment Software Engineer (Java/C++/Python) Oxford - Hybrid 2 days per week 65000 - 95000 + Benefits Must Have's - Must possess an EU or Five Eyes passport (UK, US, Canada, New Zealand, Australia) - Has worked Full Stack with Java, Python or C++ paired with JS/TS, ideally React. - Must have worked on Mission-Critical Systems within the space sector, ideally on Ground Segment systems. Your new company This leading Space Technology provider is seeking 2 experienced Senior Full Stack Developers to join their expanding team. With a proven track record of successful missions and partnerships with major space agencies and commercial operators worldwide, this company is at the cutting edge of innovation. You'll be part of a team that's pioneering technologies for on-orbit servicing with the end goal of making space exploration sustainable long-term. If you want to work for a business that combines purpose with advanced technology, this is the opportunity for you. The role is based from their rural Oxfordshire office, so own-transport will be required to work minimum 2 days per week in the office giving you access to secure projects. Your new role You'll help to develop mission-critical software (often greenfield) for ground systems supporting advanced space missions. You'll take ownership of designing and developing scalable backend services using modern programming languages, while also creating dynamic and responsive user interfaces with contemporary frameworks. You'll architect and optimise databases to ensure performance and reliability, and work with containerised applications using Docker and Kubernetes. The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full lifecycle exposure. It's a business very much in scale-up mode, 10+ years in business and with a global headcount of over 500 so a very exciting time to be joining with significant investment and progression opps within the Engineering functions. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline. Must have at least five years development experience using Java, Python or C++ for Back end Development and 2+ years working with JavaScript on the Front End, ideally with the React framework. It is essential you've worked on the development of mission-critical applications within space, orbit, ground segment or satellites. Additional expertise in container orchestration, CI/CD tools, SQL databases, and Git workflows will set you apart. Familiarity with AWS or Azure is desirable, as is knowledge of security best practices in software development. What you'll get in return You'll work for a technology focused company building innovative products. You'll receive private healthcare, life insurance, and relocation support if needed, plus holiday starting at 25 days rising to 28. You'll work in a state-of-the-art facility with a diverse, international team, parking on site and flexible working hours, including chance to work a compressed week (9 in 10 days). What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on (phone number removed). At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Aug 19, 2026
Full time
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Senior Business Analyst (Research Data) Salary: £49,000 - £58,000 plus benefits Contract: Permanent Hours: Full time (35 hours per week) Location: Stratford, London (2 Redman Place) with high flexibility (1-2 days per week in the office) Closing date: 30 August 2026 Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Recruitment Process: Two competency-based interviews with a scenario-based exercise Interview Dates: TBC At Cancer Research UK, we exist to beat cancer. Every day, our researchers generate vast amounts of data that have the potential to unlock new discoveries and improve outcomes for people affected by cancer. We're investing in a major transformation programme to develop a Research Datahub that will make research data more accessible, connected and impactful. We're looking for a Senior Business Analyst with a passion for data, research and solving complex challenges. This is a unique opportunity to work at the intersection of research, technology and data governance, partnering with scientists, data owners and technical teams to shape how research data is managed and shared across the organisation. Your work will directly contribute to enabling faster scientific insights and advancing our mission to beat cancer. What will I be doing? Lead business analysis activities across the delivery of our Research Datahub programme, supporting the transformation of research data management and governance. Work closely with researchers, data owners and technical teams to understand, model and prioritise business and data requirements. Drive improvements in data sharing and FAIR data practices (Findable, Accessible, Interoperable and Reusable) to maximise the value of research data. Translate complex business and data requirements into actionable user stories, epics and acceptance criteria within Agile delivery teams. Build influential stakeholder relationships across all levels of the organisation to align business needs with strategic technology solutions. Evaluating strengths and weaknesses of existing processes, suggesting areas of improvement, and challenging as needed. Identify opportunities, risks, dependencies and process improvements, ensuring solutions deliver measurable value and impact. What are we looking for? Significant Business Analysis experience, ideally gained within data-intensive, research, scientific, healthcare or complex transformation environments. Strong experience of data analysis, data modelling, data mapping and working with large or complex datasets. Proven ability to manage multiple workstreams and priorities whilst navigating complexity, risks and dependencies. Excellent stakeholder management skills with the ability to influence decision making and build credibility across technical and non-technical audiences. Experience gathering, documenting and translating business, functional and non-functional requirements into successful technology solutions. Ability to evaluate existing processes, articulate pain point and recommend improvements. A proactive problem solver who can simplify complex challenges and identify innovative, value-driven solutions. Desirable Experience working with research communities, research datasets or scientific data platforms. Knowledge of data governance principles and FAIR data practices. Experience supporting large-scale database, data platform or data transformation programmes. Why join us? This isn't just another Business Analyst role. You'll play a key role in shaping a high-profile data transformation programme that will help researchers access and utilise critical data more effectively. You'll have the opportunity to: Influence the future of research data management within one of the world's leading cancer charities. Work with diverse stakeholders across research, technology and operational teams. Lead analysis activities on a complex and strategically important programme. Help deliver technology and data solutions that support life-saving research. Develop your expertise within a collaborative and highly skilled Business Analysis community. Our organisation values are designed to guide all that we do. Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. Please note that applications can't be edited once submitted. For more information on this career opportunity please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
Aug 19, 2026
Full time
Senior Business Analyst (Research Data) Salary: £49,000 - £58,000 plus benefits Contract: Permanent Hours: Full time (35 hours per week) Location: Stratford, London (2 Redman Place) with high flexibility (1-2 days per week in the office) Closing date: 30 August 2026 Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Recruitment Process: Two competency-based interviews with a scenario-based exercise Interview Dates: TBC At Cancer Research UK, we exist to beat cancer. Every day, our researchers generate vast amounts of data that have the potential to unlock new discoveries and improve outcomes for people affected by cancer. We're investing in a major transformation programme to develop a Research Datahub that will make research data more accessible, connected and impactful. We're looking for a Senior Business Analyst with a passion for data, research and solving complex challenges. This is a unique opportunity to work at the intersection of research, technology and data governance, partnering with scientists, data owners and technical teams to shape how research data is managed and shared across the organisation. Your work will directly contribute to enabling faster scientific insights and advancing our mission to beat cancer. What will I be doing? Lead business analysis activities across the delivery of our Research Datahub programme, supporting the transformation of research data management and governance. Work closely with researchers, data owners and technical teams to understand, model and prioritise business and data requirements. Drive improvements in data sharing and FAIR data practices (Findable, Accessible, Interoperable and Reusable) to maximise the value of research data. Translate complex business and data requirements into actionable user stories, epics and acceptance criteria within Agile delivery teams. Build influential stakeholder relationships across all levels of the organisation to align business needs with strategic technology solutions. Evaluating strengths and weaknesses of existing processes, suggesting areas of improvement, and challenging as needed. Identify opportunities, risks, dependencies and process improvements, ensuring solutions deliver measurable value and impact. What are we looking for? Significant Business Analysis experience, ideally gained within data-intensive, research, scientific, healthcare or complex transformation environments. Strong experience of data analysis, data modelling, data mapping and working with large or complex datasets. Proven ability to manage multiple workstreams and priorities whilst navigating complexity, risks and dependencies. Excellent stakeholder management skills with the ability to influence decision making and build credibility across technical and non-technical audiences. Experience gathering, documenting and translating business, functional and non-functional requirements into successful technology solutions. Ability to evaluate existing processes, articulate pain point and recommend improvements. A proactive problem solver who can simplify complex challenges and identify innovative, value-driven solutions. Desirable Experience working with research communities, research datasets or scientific data platforms. Knowledge of data governance principles and FAIR data practices. Experience supporting large-scale database, data platform or data transformation programmes. Why join us? This isn't just another Business Analyst role. You'll play a key role in shaping a high-profile data transformation programme that will help researchers access and utilise critical data more effectively. You'll have the opportunity to: Influence the future of research data management within one of the world's leading cancer charities. Work with diverse stakeholders across research, technology and operational teams. Lead analysis activities on a complex and strategically important programme. Help deliver technology and data solutions that support life-saving research. Develop your expertise within a collaborative and highly skilled Business Analysis community. Our organisation values are designed to guide all that we do. Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. Please note that applications can't be edited once submitted. For more information on this career opportunity please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
Our client, a leading organisation in the defence and security sector, is currently seeking talented individuals with UKIC DV clearance for various IT roles on a contract basis. Positions are available for Infrastructure Architects, Network Engineers, Data Scientists, Technical Consultants, and DevOps Engineers. Key Responsibilities: Designing and implementing robust infrastructure solutions (Infrastructure Architects) Managing and optimising network systems to ensure seamless operations (Network Engineers) Conducting data analysis and creating data-driven solutions (Data Scientists) Providing technical consultancy and support across multiple projects (Technical Consultants) Streamlining and automating IT operations using DevOps methodologies (DevOps Engineers) Job Requirements: Must hold UKIC DV clearance Experience in IT DevOps, IT Network, or IT Infrastructure roles Strong understanding of defence and security industry standards Excellent problem-solving skills and attention to detail Ability to work effectively in a high-security environment Relevant certifications and qualifications in your associated field Benefits: Opportunity to work on critical defence and security projects Work within a team of highly skilled professionals Challenging and dynamic work environment Professional development and training opportunities Competitive contract terms If you have a strong background in IT within the defence and security sector and hold a UKIC DV clearance, we would like to hear from you. Apply now to join our client's team on a contract basis and contribute to vital defence and security initiatives.
Aug 19, 2026
Contractor
Our client, a leading organisation in the defence and security sector, is currently seeking talented individuals with UKIC DV clearance for various IT roles on a contract basis. Positions are available for Infrastructure Architects, Network Engineers, Data Scientists, Technical Consultants, and DevOps Engineers. Key Responsibilities: Designing and implementing robust infrastructure solutions (Infrastructure Architects) Managing and optimising network systems to ensure seamless operations (Network Engineers) Conducting data analysis and creating data-driven solutions (Data Scientists) Providing technical consultancy and support across multiple projects (Technical Consultants) Streamlining and automating IT operations using DevOps methodologies (DevOps Engineers) Job Requirements: Must hold UKIC DV clearance Experience in IT DevOps, IT Network, or IT Infrastructure roles Strong understanding of defence and security industry standards Excellent problem-solving skills and attention to detail Ability to work effectively in a high-security environment Relevant certifications and qualifications in your associated field Benefits: Opportunity to work on critical defence and security projects Work within a team of highly skilled professionals Challenging and dynamic work environment Professional development and training opportunities Competitive contract terms If you have a strong background in IT within the defence and security sector and hold a UKIC DV clearance, we would like to hear from you. Apply now to join our client's team on a contract basis and contribute to vital defence and security initiatives.
Scientific Data Curator - CMC & Drug Discovery Scientific Data Curator - CMC & Drug Discovery | Hybrid | Contract Opportunity I'm working with a leading pharmaceutical organisation that is investing heavily in AI-driven research and development and is looking to appoint an experienced Scientific Data Curator to support the creation of high-quality, AI-ready scientific data assets. This is a unique opportunity for someone who can bridge the gap between drug discovery, CMC (Chemistry, Manufacturing & Controls), data governance, and AI-enabled research . You'll work closely with scientists, engineers, and data specialists to improve the quality, structure, and accessibility of complex scientific datasets, helping to accelerate research and support the next generation of AI-enabled drug development. Key responsibilities: Curate, standardise, and manage scientific datasets across drug discovery and CMC functions. Develop data standards, metadata frameworks, and governance processes. Transform complex scientific data into structured, AI-ready assets. Improve data quality, lineage, consistency, and traceability across R&D datasets. Collaborate with medicinal chemists, formulation scientists, process engineers, and AI specialists. Support digital transformation and data governance initiatives across research and development teams. Promote FAIR data principles and best practices across scientific data environments. Essential experience: A degree, Master's, or PhD in Chemistry, Pharmaceutical Sciences, Data Science, Informatics, or a related discipline. Significant pharmaceutical industry experience across drug discovery and CMC environments . Strong understanding of scientific data curation, data governance, metadata, lineage, and data quality. Knowledge of small-molecule drug development , including chemistry, formulation, manufacturing, and analytical sciences. Experience working with laboratory and scientific data platforms, including ELNs, LIMS, knowledge graphs, and related data ecosystems . Understanding of AI and machine learning applications within pharmaceutical research. Excellent stakeholder management and cross-functional collaboration skills. Desirable experience: Experience leading data governance programmes. Experience supporting AI-enabled research initiatives. Exposure to enterprise-wide digital transformation programmes within pharmaceutical R&D. If you're passionate about improving scientific data and enabling AI-driven innovation within pharmaceutical research, we'd be keen to hear from you. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Aug 19, 2026
Contractor
Scientific Data Curator - CMC & Drug Discovery Scientific Data Curator - CMC & Drug Discovery | Hybrid | Contract Opportunity I'm working with a leading pharmaceutical organisation that is investing heavily in AI-driven research and development and is looking to appoint an experienced Scientific Data Curator to support the creation of high-quality, AI-ready scientific data assets. This is a unique opportunity for someone who can bridge the gap between drug discovery, CMC (Chemistry, Manufacturing & Controls), data governance, and AI-enabled research . You'll work closely with scientists, engineers, and data specialists to improve the quality, structure, and accessibility of complex scientific datasets, helping to accelerate research and support the next generation of AI-enabled drug development. Key responsibilities: Curate, standardise, and manage scientific datasets across drug discovery and CMC functions. Develop data standards, metadata frameworks, and governance processes. Transform complex scientific data into structured, AI-ready assets. Improve data quality, lineage, consistency, and traceability across R&D datasets. Collaborate with medicinal chemists, formulation scientists, process engineers, and AI specialists. Support digital transformation and data governance initiatives across research and development teams. Promote FAIR data principles and best practices across scientific data environments. Essential experience: A degree, Master's, or PhD in Chemistry, Pharmaceutical Sciences, Data Science, Informatics, or a related discipline. Significant pharmaceutical industry experience across drug discovery and CMC environments . Strong understanding of scientific data curation, data governance, metadata, lineage, and data quality. Knowledge of small-molecule drug development , including chemistry, formulation, manufacturing, and analytical sciences. Experience working with laboratory and scientific data platforms, including ELNs, LIMS, knowledge graphs, and related data ecosystems . Understanding of AI and machine learning applications within pharmaceutical research. Excellent stakeholder management and cross-functional collaboration skills. Desirable experience: Experience leading data governance programmes. Experience supporting AI-enabled research initiatives. Exposure to enterprise-wide digital transformation programmes within pharmaceutical R&D. If you're passionate about improving scientific data and enabling AI-driven innovation within pharmaceutical research, we'd be keen to hear from you. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Scientist - Biomarkers Location Cheshire Sector Drug Discovery Salary - £36,000 - £40,000 Contract Temporary contract (agency) length unknown, but aiming for c12 months Visa sponsorship not available for this role. Our client is a leading company, offering research services to the Drug Discovery sector. They collaborate with lead researchers and organisations to enhance the understanding of immunological, oncological, neurological and other disease areas. Based in Alderley Park, they are offering an exciting opportunity for an enthusiastic and hard-working individual to join their Biomarker team as a Scientist on a temporary contract basis due to a flurry of new projects, focused on metabolomics, lipidomics and proteomics studies utilising mass spectrometry and mass spec imaging techniques. The Role This is a role for Scientist who have significant experience in biomarker mass spec (MS) experience. As a Biomarker Scientist, you will be responsible for: Design and deliver end-to-end MS workflows, from sample preparation through to data interpretation Develop and implement innovative methodologies to address biological questions Interpret experimental outputs and collaborate with scientists to translate data into meaningful conclusions Deliver high-quality, reproducible data packages to internal and external stakeholders Contribute to continuous improvement of laboratory processes, data workflows, and quality standards Maintain accurate experimental records and documentation in line with best practices Work collaboratively across multidisciplinary teams and external partners Communicate findings clearly to both technical and non-technical audiences Qualifications & Experience Essential PhD in a relevant discipline (e.g., analytical chemistry, biology, bioinformatics, or related field) or equivalent experience with a BSc / MSc (essential) Strong hands-on experience in mass spectrometry (essential) Proficiency in MS data analysis, processing, and interpretation (essential) Experience handling biological samples and associated preparation techniques (essential) Ability to work across both experimental and computational aspects of MS workflows Good understanding of biochemical and molecular biology principles + Ability to handle biological samples Proven ability to manage multiple projects in a collaborative environment Desirable Experience in metabolomics, lipidomics, or proteomics Experience with MS imaging and spatial analysis approaches is an advantage Experience applying statistical modelling or machine learning to biological datasets Experience designing biomarker studies (e.g., experimental design, power calculations) Knowledge of GCLP or regulated environments Experience in drug discovery or working with SMEs Key Skills & Attributes Strong problem-solving and analytical thinking Ability to bridge experimental science and data analysis Excellent communication and teamwork skills Ability to innovate and develop new methodologies Must have long-term right to work in the UK without need for visa sponsorship (essential) The Package Being a leading collaborative drug discovery company, our client is offering the chance to be part of a growing organisation on an initial temporary contract, with a competitive salary and benefits package.
Aug 19, 2026
Seasonal
Scientist - Biomarkers Location Cheshire Sector Drug Discovery Salary - £36,000 - £40,000 Contract Temporary contract (agency) length unknown, but aiming for c12 months Visa sponsorship not available for this role. Our client is a leading company, offering research services to the Drug Discovery sector. They collaborate with lead researchers and organisations to enhance the understanding of immunological, oncological, neurological and other disease areas. Based in Alderley Park, they are offering an exciting opportunity for an enthusiastic and hard-working individual to join their Biomarker team as a Scientist on a temporary contract basis due to a flurry of new projects, focused on metabolomics, lipidomics and proteomics studies utilising mass spectrometry and mass spec imaging techniques. The Role This is a role for Scientist who have significant experience in biomarker mass spec (MS) experience. As a Biomarker Scientist, you will be responsible for: Design and deliver end-to-end MS workflows, from sample preparation through to data interpretation Develop and implement innovative methodologies to address biological questions Interpret experimental outputs and collaborate with scientists to translate data into meaningful conclusions Deliver high-quality, reproducible data packages to internal and external stakeholders Contribute to continuous improvement of laboratory processes, data workflows, and quality standards Maintain accurate experimental records and documentation in line with best practices Work collaboratively across multidisciplinary teams and external partners Communicate findings clearly to both technical and non-technical audiences Qualifications & Experience Essential PhD in a relevant discipline (e.g., analytical chemistry, biology, bioinformatics, or related field) or equivalent experience with a BSc / MSc (essential) Strong hands-on experience in mass spectrometry (essential) Proficiency in MS data analysis, processing, and interpretation (essential) Experience handling biological samples and associated preparation techniques (essential) Ability to work across both experimental and computational aspects of MS workflows Good understanding of biochemical and molecular biology principles + Ability to handle biological samples Proven ability to manage multiple projects in a collaborative environment Desirable Experience in metabolomics, lipidomics, or proteomics Experience with MS imaging and spatial analysis approaches is an advantage Experience applying statistical modelling or machine learning to biological datasets Experience designing biomarker studies (e.g., experimental design, power calculations) Knowledge of GCLP or regulated environments Experience in drug discovery or working with SMEs Key Skills & Attributes Strong problem-solving and analytical thinking Ability to bridge experimental science and data analysis Excellent communication and teamwork skills Ability to innovate and develop new methodologies Must have long-term right to work in the UK without need for visa sponsorship (essential) The Package Being a leading collaborative drug discovery company, our client is offering the chance to be part of a growing organisation on an initial temporary contract, with a competitive salary and benefits package.
Chemical Compliance Scientist - (Regulatory REACH Specialist) c40k prorate Hampshire, TEMP ABJ6720 TEMP - ONSITE - 22.77/hr PAYE 35hr wk Duration: 3 months (end Sept 2026) An exciting opportunity has arisen for a, Chemical Compliance Scientist to join a leading compliance and regulatory team. As a chemicals regulatory / compliance specialist with REACH experience you will be is responsible for ensuring products and consumables meet applicable chemical regulations, industry standards, and internal compliance requirements across international markets. As a regulatory chemist with REACH experience you will provide expert guidance on chemical regulatory matters, conduct compliance assessments and competitor product audits, and support the delivery of training and regulatory awareness programmes across the business. In chemical compliance you have the opportunity to work closely with scientific, legal, product development, and compliance teams, influencing strategic business decisions through regulatory insight and technical expertise. Key Responsibilities Conduct chemical compliance audits and assessments of competitor products to evaluate adherence to relevant regulations and industry standards. Working with chemical regulations such as REACH, CLP, or GHS Analyse and communicate regulatory findings and market insights to support business strategy and decision-making. Develop strong working relationships with cross-functional teams to ensure timely access to product and regulatory information. Provide guidance on chemical regulations and their impact on product development, commercialisation, and market access. Deliver training and awareness programmes on chemical regulatory requirements, including chemical classification, labelling, and safety data documentation. Support the implementation and maintenance of compliance processes across multiple product categories and global markets. Conduct regulatory impact and risk assessments, clearly communicating outcomes and recommendations to stakeholders. Collaborate with product development, operations, legal, scientific, and compliance teams to embed regulatory requirements throughout the product lifecycle. Monitor developments in global chemical regulations and emerging compliance requirements. Experience & Skills Required Bachelor's degree or higher in Chemistry, Toxicology, Regulatory Affairs, Environmental Science, Life Sciences, Law, or a related discipline. Working knowledge of global chemical regulations, including REACH, CLP, GHS, Safety Data Sheets (SDS), and chemical classification requirements. Experience conducting compliance audits, risk assessments, or regulatory impact assessments. Ability to interpret complex regulatory requirements and communicate findings clearly to technical and non-technical stakeholders. Desirable Experience within chemicals, life sciences, pharmaceutical, or regulated product industries. Knowledge of product stewardship, chemical safety, or regulatory affairs processes. Experience working with chemical regulations such as REACH, CLP, or GHS Regulatory assessments, or risk evaluations within a regulated industry? Full Time. TEMP To Apply : Please contact Alison Basson on (phone number removed) / (phone number removed) or apply for ABJ6720 to
Aug 18, 2026
Seasonal
Chemical Compliance Scientist - (Regulatory REACH Specialist) c40k prorate Hampshire, TEMP ABJ6720 TEMP - ONSITE - 22.77/hr PAYE 35hr wk Duration: 3 months (end Sept 2026) An exciting opportunity has arisen for a, Chemical Compliance Scientist to join a leading compliance and regulatory team. As a chemicals regulatory / compliance specialist with REACH experience you will be is responsible for ensuring products and consumables meet applicable chemical regulations, industry standards, and internal compliance requirements across international markets. As a regulatory chemist with REACH experience you will provide expert guidance on chemical regulatory matters, conduct compliance assessments and competitor product audits, and support the delivery of training and regulatory awareness programmes across the business. In chemical compliance you have the opportunity to work closely with scientific, legal, product development, and compliance teams, influencing strategic business decisions through regulatory insight and technical expertise. Key Responsibilities Conduct chemical compliance audits and assessments of competitor products to evaluate adherence to relevant regulations and industry standards. Working with chemical regulations such as REACH, CLP, or GHS Analyse and communicate regulatory findings and market insights to support business strategy and decision-making. Develop strong working relationships with cross-functional teams to ensure timely access to product and regulatory information. Provide guidance on chemical regulations and their impact on product development, commercialisation, and market access. Deliver training and awareness programmes on chemical regulatory requirements, including chemical classification, labelling, and safety data documentation. Support the implementation and maintenance of compliance processes across multiple product categories and global markets. Conduct regulatory impact and risk assessments, clearly communicating outcomes and recommendations to stakeholders. Collaborate with product development, operations, legal, scientific, and compliance teams to embed regulatory requirements throughout the product lifecycle. Monitor developments in global chemical regulations and emerging compliance requirements. Experience & Skills Required Bachelor's degree or higher in Chemistry, Toxicology, Regulatory Affairs, Environmental Science, Life Sciences, Law, or a related discipline. Working knowledge of global chemical regulations, including REACH, CLP, GHS, Safety Data Sheets (SDS), and chemical classification requirements. Experience conducting compliance audits, risk assessments, or regulatory impact assessments. Ability to interpret complex regulatory requirements and communicate findings clearly to technical and non-technical stakeholders. Desirable Experience within chemicals, life sciences, pharmaceutical, or regulated product industries. Knowledge of product stewardship, chemical safety, or regulatory affairs processes. Experience working with chemical regulations such as REACH, CLP, or GHS Regulatory assessments, or risk evaluations within a regulated industry? Full Time. TEMP To Apply : Please contact Alison Basson on (phone number removed) / (phone number removed) or apply for ABJ6720 to
KO2 Embedded Recruitment Solutions LTD
City, Edinburgh
Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: 60,000 to 70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment. The Challenge The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means: From Sensor to Deployed Device. You will work with raw sensor data streams from physical devices operating in uncontrolled environments. This data is not clean. It carries noise, calibration drift, temperature sensitivity, and the unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will not run on a device with 128MB. A model that takes 500ms per inference will drain the battery in days. A model that works in the lab but degrades in the field is a failure. You will learn to think like an embedded systems engineer, not a researcher. You will understand that the goal is not maximum accuracy; it is maximum accuracy within the hardware constraints that define your actual platform. Real-World Iteration. You will take models from lab development through semi-field validation and into live deployment. You will see what happens when your model encounters conditions it has never seen before. You will debug why a model that performed flawlessly during development is behaving unexpectedly in the field. You will iterate based on real-world performance data and build the judgment to know when a model is sufficiently reliable for deployment. Cross-Domain Transfer. The long-term vision is building a platform where machine learning models and data structures developed for one application can be adapted and transferred to others. You will contribute to demonstrating that this is technically possible; that you can take a model built for one classification task and, with appropriate retraining and adaptation, make it work reliably in a different domain. This is the frontier of applied ML. The Role Reporting to the Lead Data Scientist, you will own the development and deployment of machine learning models that sit at the heart of the embedded detection platform. You will work closely with R&D scientists, firmware engineers, hardware designers, and product teams. You will be the bridge between data science and embedded systems. You will own the complete pipeline: from sensor data ingestion and cleaning, through feature engineering and model development, through embedded optimisation and deployment, through field validation and iteration. Key Responsibilities Clean, structure, and analyse sensor datasets from real-world deployments for training and evaluation Develop machine learning models optimised for embedded deployment on resource-constrained devices Work with TensorFlow Lite, Edge Impulse, or custom firmware deployment strategies to integrate models into actual hardware platforms Optimise model architecture, quantization, and inference speed to fit hardware constraints without unacceptable loss of accuracy Collaborate with firmware engineers to integrate your models into live devices, understanding and accommodating their constraints Test model performance across lab, semi-field, and real-world settings; identify failure modes and iterate Document training pipelines, feature engineering methods, model validation results, and deployment learnings Establish reproducible, scalable workflows for model development, retraining, and versioning Support future platform expansion by demonstrating that models can be adapted across different applications and use cases Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic Must-Haves 5+ years of applied experience in data science or machine learning engineering roles Strong, demonstrable experience with machine learning for classification tasks Proficiency in Python and relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world constraints of device deployment Clear communication; ability to explain model behaviour, limitations, and engineering trade-offs to non-technical collaborators Nice-to-Haves Signal processing experience or background in IoT systems Previous work deploying models to edge devices or microcontrollers Experience with model quantization, pruning, or other embedded optimisation techniques Background in biology, chemistry, environmental science, or related domains Familiarity with sensor calibration pipelines, metadata tagging, or HDF5 Experience with dataset versioning and ML workflow management: MLflow, DVC, Weights & Biases Understanding of low-power device design and power budgeting What Success Looks Like in Year One Models in the Field, Not the Lab. You will have taken at least one machine learning model from initial development through to embedded deployment on a live device. You will have validated that model across lab conditions, semi-field conditions, and real-world deployment. You will have documented accuracy and reliability benchmarks that the R&D and product teams trust enough to build products around. A Repeatable ML Pipeline. You will have established clean, documented workflows for model development, feature engineering, validation, and versioning. The process will no longer be ad hoc. When new sensor data arrives, when a new classification task emerges, or when an existing model needs retraining, the team will have a clear, reproducible path forward. Embedded Constraints Are Second Nature. You will think routinely in terms of memory budgets, latency budgets, and power budgets. You will anticipate firmware engineer constraints before they surface as integration bottlenecks. You will make design decisions that balance model accuracy against hardware reality. Real-World Reliability Mindset. You will understand that deployment is when learning truly begins. You will have built the infrastructure to monitor deployed models, identify when they degrade, understand why, and iterate. You will have learned the hard lessons about what separates a model that works in the lab from one that works reliably in the field. Cross-Domain Credibility. You will have contributed technical evidence that machine learning systems can be developed for one application and transferred to others, with appropriate adaptation and retraining. You will understand what transfers and what does not. Application Please submit the following: Your CV A cover letter (required) explaining your experience with embedded ML and real-world sensor data, and why this particular challenge interests you Answers to the following questions: Can you commit to 3 days per week in Edinburgh? Describe a time you deployed a machine learning model to an embedded or edge device. What were the hardware constraints, and how did you optimise the model to fit them? Have you worked with real-world sensor or time-series data? Describe the challenges you encountered and how you addressed them. What is your current notice period? Tell us about a time you took a machine learning model or pipeline built for one application and adapted it to a different use case or domain. What was transferable? What had to be rebuilt? What draws you to embedded machine learning specifically, rather than traditional cloud-based ML or data science
Aug 18, 2026
Full time
Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: 60,000 to 70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment. The Challenge The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means: From Sensor to Deployed Device. You will work with raw sensor data streams from physical devices operating in uncontrolled environments. This data is not clean. It carries noise, calibration drift, temperature sensitivity, and the unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will not run on a device with 128MB. A model that takes 500ms per inference will drain the battery in days. A model that works in the lab but degrades in the field is a failure. You will learn to think like an embedded systems engineer, not a researcher. You will understand that the goal is not maximum accuracy; it is maximum accuracy within the hardware constraints that define your actual platform. Real-World Iteration. You will take models from lab development through semi-field validation and into live deployment. You will see what happens when your model encounters conditions it has never seen before. You will debug why a model that performed flawlessly during development is behaving unexpectedly in the field. You will iterate based on real-world performance data and build the judgment to know when a model is sufficiently reliable for deployment. Cross-Domain Transfer. The long-term vision is building a platform where machine learning models and data structures developed for one application can be adapted and transferred to others. You will contribute to demonstrating that this is technically possible; that you can take a model built for one classification task and, with appropriate retraining and adaptation, make it work reliably in a different domain. This is the frontier of applied ML. The Role Reporting to the Lead Data Scientist, you will own the development and deployment of machine learning models that sit at the heart of the embedded detection platform. You will work closely with R&D scientists, firmware engineers, hardware designers, and product teams. You will be the bridge between data science and embedded systems. You will own the complete pipeline: from sensor data ingestion and cleaning, through feature engineering and model development, through embedded optimisation and deployment, through field validation and iteration. Key Responsibilities Clean, structure, and analyse sensor datasets from real-world deployments for training and evaluation Develop machine learning models optimised for embedded deployment on resource-constrained devices Work with TensorFlow Lite, Edge Impulse, or custom firmware deployment strategies to integrate models into actual hardware platforms Optimise model architecture, quantization, and inference speed to fit hardware constraints without unacceptable loss of accuracy Collaborate with firmware engineers to integrate your models into live devices, understanding and accommodating their constraints Test model performance across lab, semi-field, and real-world settings; identify failure modes and iterate Document training pipelines, feature engineering methods, model validation results, and deployment learnings Establish reproducible, scalable workflows for model development, retraining, and versioning Support future platform expansion by demonstrating that models can be adapted across different applications and use cases Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic Must-Haves 5+ years of applied experience in data science or machine learning engineering roles Strong, demonstrable experience with machine learning for classification tasks Proficiency in Python and relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world constraints of device deployment Clear communication; ability to explain model behaviour, limitations, and engineering trade-offs to non-technical collaborators Nice-to-Haves Signal processing experience or background in IoT systems Previous work deploying models to edge devices or microcontrollers Experience with model quantization, pruning, or other embedded optimisation techniques Background in biology, chemistry, environmental science, or related domains Familiarity with sensor calibration pipelines, metadata tagging, or HDF5 Experience with dataset versioning and ML workflow management: MLflow, DVC, Weights & Biases Understanding of low-power device design and power budgeting What Success Looks Like in Year One Models in the Field, Not the Lab. You will have taken at least one machine learning model from initial development through to embedded deployment on a live device. You will have validated that model across lab conditions, semi-field conditions, and real-world deployment. You will have documented accuracy and reliability benchmarks that the R&D and product teams trust enough to build products around. A Repeatable ML Pipeline. You will have established clean, documented workflows for model development, feature engineering, validation, and versioning. The process will no longer be ad hoc. When new sensor data arrives, when a new classification task emerges, or when an existing model needs retraining, the team will have a clear, reproducible path forward. Embedded Constraints Are Second Nature. You will think routinely in terms of memory budgets, latency budgets, and power budgets. You will anticipate firmware engineer constraints before they surface as integration bottlenecks. You will make design decisions that balance model accuracy against hardware reality. Real-World Reliability Mindset. You will understand that deployment is when learning truly begins. You will have built the infrastructure to monitor deployed models, identify when they degrade, understand why, and iterate. You will have learned the hard lessons about what separates a model that works in the lab from one that works reliably in the field. Cross-Domain Credibility. You will have contributed technical evidence that machine learning systems can be developed for one application and transferred to others, with appropriate adaptation and retraining. You will understand what transfers and what does not. Application Please submit the following: Your CV A cover letter (required) explaining your experience with embedded ML and real-world sensor data, and why this particular challenge interests you Answers to the following questions: Can you commit to 3 days per week in Edinburgh? Describe a time you deployed a machine learning model to an embedded or edge device. What were the hardware constraints, and how did you optimise the model to fit them? Have you worked with real-world sensor or time-series data? Describe the challenges you encountered and how you addressed them. What is your current notice period? Tell us about a time you took a machine learning model or pipeline built for one application and adapted it to a different use case or domain. What was transferable? What had to be rebuilt? What draws you to embedded machine learning specifically, rather than traditional cloud-based ML or data science
Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 18, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 18, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 18, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Aug 18, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 18, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Pure Resourcing Solutions Limited
Great Abington, Cambridgeshire
Up to 100,000 Hybrid based in Cambridge About the company Our client is a well established, science led drug discovery company with a strong track record of delivering pre-clinical candidates for partners on challenging targets. They combine deep in-house structural and biophysical expertise (X-ray crystallography, NMR and a full suite of biophysical methods) with modern computational chemistry, cheminformatics, machine learning and AI, including structure enabled and fragment based approaches to hit and lead generation. They are now looking for an outstanding computational scientist to lead their computational group and shape how modern computational methods are applied across the drug discovery portfolio. The role Reporting to a senior chemistry leader, this is a senior scientific leadership position with genuine influence over how computational insight translates into project progress for the business and its partners. It is a hands-on role: you will set the scientific direction and standards for computational science, line manage and grow a small, growing team of computational chemists and data scientists, and stay closely embedded in live projects, applying the methods yourself where it matters most. You will work alongside medicinal, synthetic and analytical chemists, protein scientists, structural biologists, biophysicists and biologists, guiding projects from hit identification through to candidate nomination. What you'll be doing Leading, directing and developing the computational chemistry and data science group, setting scientific strategy and best practice standards Acting as the computational lead embedded within multidisciplinary project teams, generating and prioritising design ideas, resolving SAR and accelerating lead optimisation Exploiting structure enabled and fragment based methodology, integrating experimental structural and biophysical data with modelling and design Championing the appropriate use of machine learning, generative design and AI in drug discovery, including through collaborative AI driven drug discovery initiatives Overseeing cheminformatics and data science workflows that support robust, data driven decision making at every stage of a project Leading the analysis and exploitation of large scale screening and structural datasets to turn them into actionable insight for hit identification and design Directing the selection, development and deployment of computational tools and workflows, both commercial and in-house Line managing, mentoring and growing the team, recruiting as it expands Representing computational science to partners and collaborators, building confidence in the science behind delivery Keeping abreast of scientific and technological advances and driving adoption of new methods where they genuinely strengthen discovery outcomes What we're looking for PhD (or equivalent) in computational chemistry, computer-aided drug discovery, cheminformatics or a related discipline Significant, demonstrable experience of computational drug discovery gained within a biotech or pharma environment, not solely academic, including experience leading or directing computational work Deep, hands-on expertise across core computational chemistry methods: molecular docking, virtual screening, molecular dynamics and quantum mechanical calculations Practical experience applying machine learning and modern AI approaches to real drug discovery problems, with a clear understanding of their strengths and limitations A demonstrable track record of using computational methods to help drug discovery project teams succeed, with tangible contributions to lead optimisation and candidate nomination A strong track record of using experimental structural information (X-ray, ideally NMR) and biophysical data to drive structure based molecular design Proven ability to lead and develop scientists, set direction and manage the priorities and delivery of a technical group Excellent communication and interpersonal skills, with the ability to explain complex computational science to multidisciplinary teams and external partners Nice to have Hands-on experience of computational approaches within a fragment based drug discovery setting Experience with free energy perturbation (FEP) and other advanced predictive methods for potency and selectivity Strong cheminformatics capability, including building or deploying analysis workflows for the wider discovery team Experience analysing large or high dimensional screening datasets using big data and statistical methods Programming and scripting ability (e.g. Python) and experience developing in-house tools or automating computational workflows Experience across multiple target classes such as kinases, protein to protein interactions, GPCRs and ion channels Familiarity with modalities beyond classical small molecules, such as PROTACs, RIPTACs and ADCs Experience of collaborative, partnered or CRO style discovery, delivering to external stakeholders A record of contribution to the field through publications, patents or presentations
Aug 17, 2026
Full time
Up to 100,000 Hybrid based in Cambridge About the company Our client is a well established, science led drug discovery company with a strong track record of delivering pre-clinical candidates for partners on challenging targets. They combine deep in-house structural and biophysical expertise (X-ray crystallography, NMR and a full suite of biophysical methods) with modern computational chemistry, cheminformatics, machine learning and AI, including structure enabled and fragment based approaches to hit and lead generation. They are now looking for an outstanding computational scientist to lead their computational group and shape how modern computational methods are applied across the drug discovery portfolio. The role Reporting to a senior chemistry leader, this is a senior scientific leadership position with genuine influence over how computational insight translates into project progress for the business and its partners. It is a hands-on role: you will set the scientific direction and standards for computational science, line manage and grow a small, growing team of computational chemists and data scientists, and stay closely embedded in live projects, applying the methods yourself where it matters most. You will work alongside medicinal, synthetic and analytical chemists, protein scientists, structural biologists, biophysicists and biologists, guiding projects from hit identification through to candidate nomination. What you'll be doing Leading, directing and developing the computational chemistry and data science group, setting scientific strategy and best practice standards Acting as the computational lead embedded within multidisciplinary project teams, generating and prioritising design ideas, resolving SAR and accelerating lead optimisation Exploiting structure enabled and fragment based methodology, integrating experimental structural and biophysical data with modelling and design Championing the appropriate use of machine learning, generative design and AI in drug discovery, including through collaborative AI driven drug discovery initiatives Overseeing cheminformatics and data science workflows that support robust, data driven decision making at every stage of a project Leading the analysis and exploitation of large scale screening and structural datasets to turn them into actionable insight for hit identification and design Directing the selection, development and deployment of computational tools and workflows, both commercial and in-house Line managing, mentoring and growing the team, recruiting as it expands Representing computational science to partners and collaborators, building confidence in the science behind delivery Keeping abreast of scientific and technological advances and driving adoption of new methods where they genuinely strengthen discovery outcomes What we're looking for PhD (or equivalent) in computational chemistry, computer-aided drug discovery, cheminformatics or a related discipline Significant, demonstrable experience of computational drug discovery gained within a biotech or pharma environment, not solely academic, including experience leading or directing computational work Deep, hands-on expertise across core computational chemistry methods: molecular docking, virtual screening, molecular dynamics and quantum mechanical calculations Practical experience applying machine learning and modern AI approaches to real drug discovery problems, with a clear understanding of their strengths and limitations A demonstrable track record of using computational methods to help drug discovery project teams succeed, with tangible contributions to lead optimisation and candidate nomination A strong track record of using experimental structural information (X-ray, ideally NMR) and biophysical data to drive structure based molecular design Proven ability to lead and develop scientists, set direction and manage the priorities and delivery of a technical group Excellent communication and interpersonal skills, with the ability to explain complex computational science to multidisciplinary teams and external partners Nice to have Hands-on experience of computational approaches within a fragment based drug discovery setting Experience with free energy perturbation (FEP) and other advanced predictive methods for potency and selectivity Strong cheminformatics capability, including building or deploying analysis workflows for the wider discovery team Experience analysing large or high dimensional screening datasets using big data and statistical methods Programming and scripting ability (e.g. Python) and experience developing in-house tools or automating computational workflows Experience across multiple target classes such as kinases, protein to protein interactions, GPCRs and ion channels Familiarity with modalities beyond classical small molecules, such as PROTACs, RIPTACs and ADCs Experience of collaborative, partnered or CRO style discovery, delivering to external stakeholders A record of contribution to the field through publications, patents or presentations
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
Aug 17, 2026
Full time
DWP. Digital with Purpose. We need a Data Engineer to join our Management Information (MI) team and help shape the future of data at DWP. Working with modern AWS technologies, you'll develop scalable data solutions that power reporting, analytics, and strategic decision-making. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience developing and managing PySpark workflows within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing, storage, and queries to improve performance and data quality. Experience designing and automating ETL pipelines using PySpark and Spark SQL.A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Data Engineer in DWP Digital's Management Information (MI) team, you'll help us to deliver modern data engineering solutions that support analytical reporting, business intelligence, and strategic decision-making. We work in a hybrid cloud environment that combines AWS technologies with legacy platforms - here you will design, build, maintain, and optimise scalable data products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders to translate reporting requirements into robust technical solutions while ensuring high standards of data quality, performance, and security. Alongside hands-on data engineering delivery, you will contribute to Agile delivery practices, support CI/CD automation, maintain technical documentation, conduct code reviews, and share knowledge with fellow engineers and data professionals as part of a thriving community of practice. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £51,528. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A two-stage interview online. CLICK APPLY for more information and to start your application
