Are you seeking a Multi-Skilled Maintenance Engineer role in an aerospace environment that values innovation and personal development? This opportunity not only offers very good working hours with an early finish on Friday as well as competitive salary of £38,500 plus bonus and a generous retention bonus paid year one. Located in the vibrant town of Yeovil, this role promises not just a job, but a career path filled with growth and learning opportunities in a forward-thinking company. Shifts: Monday Thursday 7am-3:30pm, Friday 7am-12pm (38 hours a week) Salary: £38,500 - 40,000 What You Will Do: Perform maintenance on a variety of machinery, including CNC mills and lathes, compressors, furnaces, and more. Engage in machining and fabrication tasks as required. Conduct electrical testing on motors and check windings, handling equipment up to 600V 3 phase. Operate within a dynamic team, contributing to the maintenance of 1600 machines. Participate in continuous improvement initiatives to enhance site performance. Support the investment in machinery through your expertise, particularly in CNC machine tools and sensors. What You Will Bring: A strong mechanical or electrical skill set, with multi-skilling seen as advantageous Experience with CNC machine tools, including operation and maintenance. Proficiency in machining and fabrication. C&G or NVQ equivalent level 3 mechanical or electrical Electrical knowledge, especially in testing motors and checking windings High voltage, 3 phase. A big plus if you have PLC experience, not essential though You will have current or recent experience as maintenance technician, multi-skilled engineer, multi-skilled maintenance engineer, mechanical maintenance engineer, CNC operator technician or shift engineer, electrical fitter, mechanical fitter, welder fabricator In Return: Excellent working environment joining a well-trained and inclusive team Competitive salary plus quarterly bonus pushing salary to £40K plus a retention bonus year one 6% matched Salary Sacrifice pension Competitive holiday pay and general benefits Very good working hours with an early finish on Friday Location: This Maintenance Engineer position is based in the town of Yeovil, offering a perfect blend of community and career. Interested? If you are a multi-skilled maintenance engineer seeking a new opportunity in Yeovil APPLY TODAY! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Jun 12, 2026
Full time
Are you seeking a Multi-Skilled Maintenance Engineer role in an aerospace environment that values innovation and personal development? This opportunity not only offers very good working hours with an early finish on Friday as well as competitive salary of £38,500 plus bonus and a generous retention bonus paid year one. Located in the vibrant town of Yeovil, this role promises not just a job, but a career path filled with growth and learning opportunities in a forward-thinking company. Shifts: Monday Thursday 7am-3:30pm, Friday 7am-12pm (38 hours a week) Salary: £38,500 - 40,000 What You Will Do: Perform maintenance on a variety of machinery, including CNC mills and lathes, compressors, furnaces, and more. Engage in machining and fabrication tasks as required. Conduct electrical testing on motors and check windings, handling equipment up to 600V 3 phase. Operate within a dynamic team, contributing to the maintenance of 1600 machines. Participate in continuous improvement initiatives to enhance site performance. Support the investment in machinery through your expertise, particularly in CNC machine tools and sensors. What You Will Bring: A strong mechanical or electrical skill set, with multi-skilling seen as advantageous Experience with CNC machine tools, including operation and maintenance. Proficiency in machining and fabrication. C&G or NVQ equivalent level 3 mechanical or electrical Electrical knowledge, especially in testing motors and checking windings High voltage, 3 phase. A big plus if you have PLC experience, not essential though You will have current or recent experience as maintenance technician, multi-skilled engineer, multi-skilled maintenance engineer, mechanical maintenance engineer, CNC operator technician or shift engineer, electrical fitter, mechanical fitter, welder fabricator In Return: Excellent working environment joining a well-trained and inclusive team Competitive salary plus quarterly bonus pushing salary to £40K plus a retention bonus year one 6% matched Salary Sacrifice pension Competitive holiday pay and general benefits Very good working hours with an early finish on Friday Location: This Maintenance Engineer position is based in the town of Yeovil, offering a perfect blend of community and career. Interested? If you are a multi-skilled maintenance engineer seeking a new opportunity in Yeovil APPLY TODAY! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Jun 12, 2026
Contractor
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Jun 12, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
MLOps Engineer (SC Clearance) Position Description At CGI, you will play a pivotal role in enabling the deployment and operation of advanced AI systems that support critical national security outcomes. Working within our Space, Defence and Intelligence business unit, you will help design and deliver secure, scalable machine learning platforms that power innovation across mission-critical environments. We combine deep sector expertise with emerging technologies and collaborative delivery to create impactful solutions, giving you the opportunity to take ownership of complex challenges, contribute creative ideas, and grow within a supportive, expert-led community. The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week. Your future duties and responsibilities In this role, you will design, build and operate secure AI and machine learning platforms within highly controlled environments. You will take ownership of developing the infrastructure and automation required to deploy, monitor and scale models in production, including large language models and other advanced AI systems. Working closely with multidisciplinary teams, you will contribute to delivering resilient, high-performance platforms that enable critical decision-making and operational effectiveness. You will play a key role in shaping how AI is operationalised in air-gapped environments, bringing innovative approaches to platform engineering while being supported by experienced colleagues and a collaborative culture focused on continuous improvement. • Design & Deliver secure, scalable MLOps platforms for production environments • Build & Optimise air-gapped machine learning pipelines and workflows • Deploy & Manage LLM inference clusters and AI model hosting platforms • Implement & Enhance model lifecycle processes, including monitoring and retraining • Develop & Automate infrastructure using DevSecOps principles and tooling • Monitor & Improve system performance using observability tools and best practices • Collaborate & Innovate with cross-functional teams to deliver mission-critical solutions Required qualifications to be successful in this role You should have experience building and operating production-grade machine learning platforms, with strong technical skills across software development, infrastructure, and cloud-native tooling. A solid understanding of Linux environments and modern MLOps practices is essential, along with the ability to work effectively in secure, constrained environments. • You should have experience developing in Python for data or platform engineering • Strong proficiency in Linux systems and command-line environments • Experience with MLOps tools such as MLflow, Kubeflow or Airflow • Familiarity with monitoring tools such as Prometheus or Grafana • Experience with containerisation and orchestration (Docker, Kubernetes, Terraform) • Understanding of CI/CD pipelines and DevSecOps practices • Experience with platforms such as VMware, OpenShift or OpenStack (desirable) • Exposure to AI/ML workloads, GPU environments, or secure/air-gapped systems (advantageous) Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Jun 12, 2026
Full time
MLOps Engineer (SC Clearance) Position Description At CGI, you will play a pivotal role in enabling the deployment and operation of advanced AI systems that support critical national security outcomes. Working within our Space, Defence and Intelligence business unit, you will help design and deliver secure, scalable machine learning platforms that power innovation across mission-critical environments. We combine deep sector expertise with emerging technologies and collaborative delivery to create impactful solutions, giving you the opportunity to take ownership of complex challenges, contribute creative ideas, and grow within a supportive, expert-led community. The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week. Your future duties and responsibilities In this role, you will design, build and operate secure AI and machine learning platforms within highly controlled environments. You will take ownership of developing the infrastructure and automation required to deploy, monitor and scale models in production, including large language models and other advanced AI systems. Working closely with multidisciplinary teams, you will contribute to delivering resilient, high-performance platforms that enable critical decision-making and operational effectiveness. You will play a key role in shaping how AI is operationalised in air-gapped environments, bringing innovative approaches to platform engineering while being supported by experienced colleagues and a collaborative culture focused on continuous improvement. • Design & Deliver secure, scalable MLOps platforms for production environments • Build & Optimise air-gapped machine learning pipelines and workflows • Deploy & Manage LLM inference clusters and AI model hosting platforms • Implement & Enhance model lifecycle processes, including monitoring and retraining • Develop & Automate infrastructure using DevSecOps principles and tooling • Monitor & Improve system performance using observability tools and best practices • Collaborate & Innovate with cross-functional teams to deliver mission-critical solutions Required qualifications to be successful in this role You should have experience building and operating production-grade machine learning platforms, with strong technical skills across software development, infrastructure, and cloud-native tooling. A solid understanding of Linux environments and modern MLOps practices is essential, along with the ability to work effectively in secure, constrained environments. • You should have experience developing in Python for data or platform engineering • Strong proficiency in Linux systems and command-line environments • Experience with MLOps tools such as MLflow, Kubeflow or Airflow • Familiarity with monitoring tools such as Prometheus or Grafana • Experience with containerisation and orchestration (Docker, Kubernetes, Terraform) • Understanding of CI/CD pipelines and DevSecOps practices • Experience with platforms such as VMware, OpenShift or OpenStack (desirable) • Exposure to AI/ML workloads, GPU environments, or secure/air-gapped systems (advantageous) Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Overview We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition. Key Responsibilities Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance. Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets. Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services. Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage). Essential Requirements Significant Databricks experience required, including production-scale deployments and optimisation. Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement.
Jun 12, 2026
Full time
Overview We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition. Key Responsibilities Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance. Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets. Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services. Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage). Essential Requirements Significant Databricks experience required, including production-scale deployments and optimisation. Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement.
AI Engineer / Developer Position Description At CGI, you will help design and deliver advanced AI solutions that support mission-critical systems across the Space, Defence and Intelligence sector. As an AI Developer / Engineer, you will build and deploy intelligent applications that unlock the value of data, enhance decision-making, and drive operational impact. Working with cutting-edge technologies and expert teams, you will take ownership of complex challenges, contribute innovative ideas, and grow your career within a collaborative and supportive environment. The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week. Your future duties and responsibilities In this role, you will design, build and deploy AI-enabled applications within secure, often disconnected environments. You will take ownership of developing machine learning and AI solutions, including large language models, retrieval systems and data pipelines, ensuring they are scalable, reliable and optimised for performance. Working closely with multidisciplinary teams, you will integrate AI capabilities into existing systems and contribute to solving complex operational challenges. You will bring creativity and technical expertise to developing innovative solutions, while being supported by a collaborative and forward-thinking environment. • Design & Develop AI-enabled applications and machine learning solutions • Build & Optimise end-to-end ML pipelines and data workflows • Train, Fine-tune & Deploy models, including LLMs and other AI systems • Integrate & Enhance AI capabilities within existing platforms • Deploy & Manage AI workloads using containerisation and orchestration tools • Collaborate & Innovate with cross-functional teams to solve complex challenges • Monitor & Improve model performance and scalability in production Required qualifications to be successful in this role You should have strong experience in AI or machine learning development, with solid programming skills and an understanding of modern AI frameworks and deployment practices. Experience delivering AI solutions into production environments is essential. • You should have strong Python development skills • Solid understanding of machine learning fundamentals and AI concepts • Experience with frameworks such as PyTorch, TensorFlow or LangChain • Experience developing and deploying machine learning models into production • Knowledge of data pipelines and CI/CD practices • Experience with Docker, Kubernetes or similar technologies • Familiarity with LLMs, retrieval systems or vector databases (desirable) • Experience working with GPU or on-premise AI environments (advantageous) Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Jun 12, 2026
Full time
AI Engineer / Developer Position Description At CGI, you will help design and deliver advanced AI solutions that support mission-critical systems across the Space, Defence and Intelligence sector. As an AI Developer / Engineer, you will build and deploy intelligent applications that unlock the value of data, enhance decision-making, and drive operational impact. Working with cutting-edge technologies and expert teams, you will take ownership of complex challenges, contribute innovative ideas, and grow your career within a collaborative and supportive environment. The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week. Your future duties and responsibilities In this role, you will design, build and deploy AI-enabled applications within secure, often disconnected environments. You will take ownership of developing machine learning and AI solutions, including large language models, retrieval systems and data pipelines, ensuring they are scalable, reliable and optimised for performance. Working closely with multidisciplinary teams, you will integrate AI capabilities into existing systems and contribute to solving complex operational challenges. You will bring creativity and technical expertise to developing innovative solutions, while being supported by a collaborative and forward-thinking environment. • Design & Develop AI-enabled applications and machine learning solutions • Build & Optimise end-to-end ML pipelines and data workflows • Train, Fine-tune & Deploy models, including LLMs and other AI systems • Integrate & Enhance AI capabilities within existing platforms • Deploy & Manage AI workloads using containerisation and orchestration tools • Collaborate & Innovate with cross-functional teams to solve complex challenges • Monitor & Improve model performance and scalability in production Required qualifications to be successful in this role You should have strong experience in AI or machine learning development, with solid programming skills and an understanding of modern AI frameworks and deployment practices. Experience delivering AI solutions into production environments is essential. • You should have strong Python development skills • Solid understanding of machine learning fundamentals and AI concepts • Experience with frameworks such as PyTorch, TensorFlow or LangChain • Experience developing and deploying machine learning models into production • Knowledge of data pipelines and CI/CD practices • Experience with Docker, Kubernetes or similar technologies • Familiarity with LLMs, retrieval systems or vector databases (desirable) • Experience working with GPU or on-premise AI environments (advantageous) Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jun 12, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Jun 12, 2026
Full time
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application
Jun 12, 2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Jun 12, 2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Jun 12, 2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 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: Flexible working including flexible hours and flex-friendly policies 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 Sports and social activities 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. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Application Closing Date: 17 June 2026 Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay! We're looking for an Audience Manager to develop and optimize customer audience strategies across our marketing and personalization initiatives. You'll create, analyze, and refine customer segments to enable targeted marketing and personalized experiences, serving as the bridge between data analytics and marketing execution as we work towards becoming the leader in technology within the travel industry. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You will develop and maintain a comprehensive audience framework that enables effective targeting and personalization across marketing channels, creating audience taxonomy and segmentation models, defining audience criteria and selection rules, documenting audience definitions, ensuring alignment with business objectives, and maintaining an audience governance framework.You will design, build, and optimize customer segments using data from multiple sources, creating audience segments in CDP/DMP platforms, building lookalike and propensity-based audiences, developing behavioral and intent-based segments, and optimizing audience definitions based on performance.You will analyze audience performance across campaigns and channels to identify improvement opportunities, monitoring campaign performance by audience, analyzing audience overlap and saturation, identifying high-performing characteristics, recommending refinements, and creating performance dashboards.You will collaborate with marketing, CRM, and digital teams to translate audience requirements into effective targeting strategies, while partnering with data science and analytics teams to incorporate advanced modeling and insights into audience development.You will ensure audience data quality, compliance with privacy regulations, and ethical use of customer data, monitoring data quality and completeness, ensuring compliance with privacy requirements, implementing consent-based strategies, and advocating for responsible practices.You will drive innovation in audience strategies by staying current with industry trends, testing new approaches, implementing best practices, piloting innovative solutions, and sharing learnings across the organization while developing documentation, training, and guidelines to enable effective use of audiences. ABOUT YOU You have a Bachelor's degree in Marketing, Business, Analytics, or a related field, or equivalent professional experience in audience management or marketing analytics.You have proven experience in audience management, marketing analytics, or CRM that demonstrates your strong understanding of customer segmentation and targeting strategies.You have experience with audience platforms such as CDP and DMP, along with marketing automation tools, data analysis and visualization techniques, and excellent analytical thinking and problem-solving skills.You have strong communication skills that enable you to translate complex concepts for different stakeholders, while your understanding of marketing channels and campaign execution ensures your audience strategies align with business objectives.You have knowledge of data privacy regulations and ethical data use, ensuring you maintain compliance and advocate for responsible audience practices across all initiatives.You would benefit from having knowledge of SQL or other data query languages, experience with personalization technologies, understanding of machine learning and predictive modeling concepts, experience with A/B testing and experimentation, knowledge of customer journey mapping and lifecycle marketing, experience with multiple marketing channels, and understanding of attribution models and marketing measurement.Experience in travel, hospitality, or e-commerce industries would be advantageous, bringing valuable context to our audience management challenges. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Jun 12, 2026
Full time
Application Closing Date: 17 June 2026 Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay! We're looking for an Audience Manager to develop and optimize customer audience strategies across our marketing and personalization initiatives. You'll create, analyze, and refine customer segments to enable targeted marketing and personalized experiences, serving as the bridge between data analytics and marketing execution as we work towards becoming the leader in technology within the travel industry. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You will develop and maintain a comprehensive audience framework that enables effective targeting and personalization across marketing channels, creating audience taxonomy and segmentation models, defining audience criteria and selection rules, documenting audience definitions, ensuring alignment with business objectives, and maintaining an audience governance framework.You will design, build, and optimize customer segments using data from multiple sources, creating audience segments in CDP/DMP platforms, building lookalike and propensity-based audiences, developing behavioral and intent-based segments, and optimizing audience definitions based on performance.You will analyze audience performance across campaigns and channels to identify improvement opportunities, monitoring campaign performance by audience, analyzing audience overlap and saturation, identifying high-performing characteristics, recommending refinements, and creating performance dashboards.You will collaborate with marketing, CRM, and digital teams to translate audience requirements into effective targeting strategies, while partnering with data science and analytics teams to incorporate advanced modeling and insights into audience development.You will ensure audience data quality, compliance with privacy regulations, and ethical use of customer data, monitoring data quality and completeness, ensuring compliance with privacy requirements, implementing consent-based strategies, and advocating for responsible practices.You will drive innovation in audience strategies by staying current with industry trends, testing new approaches, implementing best practices, piloting innovative solutions, and sharing learnings across the organization while developing documentation, training, and guidelines to enable effective use of audiences. ABOUT YOU You have a Bachelor's degree in Marketing, Business, Analytics, or a related field, or equivalent professional experience in audience management or marketing analytics.You have proven experience in audience management, marketing analytics, or CRM that demonstrates your strong understanding of customer segmentation and targeting strategies.You have experience with audience platforms such as CDP and DMP, along with marketing automation tools, data analysis and visualization techniques, and excellent analytical thinking and problem-solving skills.You have strong communication skills that enable you to translate complex concepts for different stakeholders, while your understanding of marketing channels and campaign execution ensures your audience strategies align with business objectives.You have knowledge of data privacy regulations and ethical data use, ensuring you maintain compliance and advocate for responsible audience practices across all initiatives.You would benefit from having knowledge of SQL or other data query languages, experience with personalization technologies, understanding of machine learning and predictive modeling concepts, experience with A/B testing and experimentation, knowledge of customer journey mapping and lifecycle marketing, experience with multiple marketing channels, and understanding of attribution models and marketing measurement.Experience in travel, hospitality, or e-commerce industries would be advantageous, bringing valuable context to our audience management challenges. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Application Closing Date: 17 June 2026 Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay! We're looking for an Audience Manager to develop and optimize customer audience strategies across our marketing and personalization initiatives. You'll create, analyze, and refine customer segments to enable targeted marketing and personalized experiences, serving as the bridge between data analytics and marketing execution as we work towards becoming the leader in technology within the travel industry. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You will develop and maintain a comprehensive audience framework that enables effective targeting and personalization across marketing channels, creating audience taxonomy and segmentation models, defining audience criteria and selection rules, documenting audience definitions, ensuring alignment with business objectives, and maintaining an audience governance framework.You will design, build, and optimize customer segments using data from multiple sources, creating audience segments in CDP/DMP platforms, building lookalike and propensity-based audiences, developing behavioral and intent-based segments, and optimizing audience definitions based on performance.You will analyze audience performance across campaigns and channels to identify improvement opportunities, monitoring campaign performance by audience, analyzing audience overlap and saturation, identifying high-performing characteristics, recommending refinements, and creating performance dashboards.You will collaborate with marketing, CRM, and digital teams to translate audience requirements into effective targeting strategies, while partnering with data science and analytics teams to incorporate advanced modeling and insights into audience development.You will ensure audience data quality, compliance with privacy regulations, and ethical use of customer data, monitoring data quality and completeness, ensuring compliance with privacy requirements, implementing consent-based strategies, and advocating for responsible practices.You will drive innovation in audience strategies by staying current with industry trends, testing new approaches, implementing best practices, piloting innovative solutions, and sharing learnings across the organization while developing documentation, training, and guidelines to enable effective use of audiences. ABOUT YOU You have a Bachelor's degree in Marketing, Business, Analytics, or a related field, or equivalent professional experience in audience management or marketing analytics.You have proven experience in audience management, marketing analytics, or CRM that demonstrates your strong understanding of customer segmentation and targeting strategies.You have experience with audience platforms such as CDP and DMP, along with marketing automation tools, data analysis and visualization techniques, and excellent analytical thinking and problem-solving skills.You have strong communication skills that enable you to translate complex concepts for different stakeholders, while your understanding of marketing channels and campaign execution ensures your audience strategies align with business objectives.You have knowledge of data privacy regulations and ethical data use, ensuring you maintain compliance and advocate for responsible audience practices across all initiatives.You would benefit from having knowledge of SQL or other data query languages, experience with personalization technologies, understanding of machine learning and predictive modeling concepts, experience with A/B testing and experimentation, knowledge of customer journey mapping and lifecycle marketing, experience with multiple marketing channels, and understanding of attribution models and marketing measurement.Experience in travel, hospitality, or e-commerce industries would be advantageous, bringing valuable context to our audience management challenges. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Jun 12, 2026
Full time
Application Closing Date: 17 June 2026 Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay! We're looking for an Audience Manager to develop and optimize customer audience strategies across our marketing and personalization initiatives. You'll create, analyze, and refine customer segments to enable targeted marketing and personalized experiences, serving as the bridge between data analytics and marketing execution as we work towards becoming the leader in technology within the travel industry. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You will develop and maintain a comprehensive audience framework that enables effective targeting and personalization across marketing channels, creating audience taxonomy and segmentation models, defining audience criteria and selection rules, documenting audience definitions, ensuring alignment with business objectives, and maintaining an audience governance framework.You will design, build, and optimize customer segments using data from multiple sources, creating audience segments in CDP/DMP platforms, building lookalike and propensity-based audiences, developing behavioral and intent-based segments, and optimizing audience definitions based on performance.You will analyze audience performance across campaigns and channels to identify improvement opportunities, monitoring campaign performance by audience, analyzing audience overlap and saturation, identifying high-performing characteristics, recommending refinements, and creating performance dashboards.You will collaborate with marketing, CRM, and digital teams to translate audience requirements into effective targeting strategies, while partnering with data science and analytics teams to incorporate advanced modeling and insights into audience development.You will ensure audience data quality, compliance with privacy regulations, and ethical use of customer data, monitoring data quality and completeness, ensuring compliance with privacy requirements, implementing consent-based strategies, and advocating for responsible practices.You will drive innovation in audience strategies by staying current with industry trends, testing new approaches, implementing best practices, piloting innovative solutions, and sharing learnings across the organization while developing documentation, training, and guidelines to enable effective use of audiences. ABOUT YOU You have a Bachelor's degree in Marketing, Business, Analytics, or a related field, or equivalent professional experience in audience management or marketing analytics.You have proven experience in audience management, marketing analytics, or CRM that demonstrates your strong understanding of customer segmentation and targeting strategies.You have experience with audience platforms such as CDP and DMP, along with marketing automation tools, data analysis and visualization techniques, and excellent analytical thinking and problem-solving skills.You have strong communication skills that enable you to translate complex concepts for different stakeholders, while your understanding of marketing channels and campaign execution ensures your audience strategies align with business objectives.You have knowledge of data privacy regulations and ethical data use, ensuring you maintain compliance and advocate for responsible audience practices across all initiatives.You would benefit from having knowledge of SQL or other data query languages, experience with personalization technologies, understanding of machine learning and predictive modeling concepts, experience with A/B testing and experimentation, knowledge of customer journey mapping and lifecycle marketing, experience with multiple marketing channels, and understanding of attribution models and marketing measurement.Experience in travel, hospitality, or e-commerce industries would be advantageous, bringing valuable context to our audience management challenges. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Bristol MBDA is accelerating the structure and deployment of HR data & AI initiatives to support business transformation and strategic workforce decisions. Operating in an on-premise, heavily governed IT environment across four countries (France, UK, Germany, Italy), the HR Data & AI Office drives initiatives where data security, employee privacy, and social dialogue are as critical as delivery speed. Salary: Circa £ 60,000 - £72,000 depending on experience Dynamic (hybrid) working: 1 day per week on-site Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company Bonus: Bonus of up to 21% of base salary Pension: maximum total (employer and employee) contribution of up to 14% Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . What you'll be doing: As HR Data & AI Project Manager, you will play a key role in shaping and delivering our HR Data & AI agenda across the UK. Working closely with HR, Technology, Data and Business stakeholders, you will help establish the foundations that enable trusted workforce data, actionable insights and future AI-powered capabilities. You will lead and support strategic initiatives that improve how HR data is governed, integrated, analysed and leveraged to create business value, while ensuring alignment with wider HR Data & Ai strategy and objectives. Key responsibilities include: Leading HR data, analytics and AI transformation initiatives from discovery through implementation and adoption Partnering with HR departments to define business requirements and translate them into scalable solutions Supporting the development of HR data governance, data quality and data management practices Driving the delivery of workforce analytics, reporting and insight capabilities that support evidence-based decision-making Identifying opportunities to leverage AI and automation to improve employee experience, operational efficiency and business outcomes Facilitating workshops, governance forums and stakeholder engagement activities to build alignment and drive successful delivery Coordinating cross-functional teams and managing project plans, risks, dependencies and outcomes Contributing to the evolution of our HR Data & AI operating model, standards and ways of working What we're looking for : Experience delivering data, analytics, AI, digital or business transformation programmes, within HR, People or Workforce environments Strong understanding of HR data ecosystems, including HR platforms, data warehouses, analytics solutions, reporting environments and workforce data domains Knowledge of data governance, data quality, data integration, data modelling and information management principles Ability to bridge business, HR and technical stakeholders and translate complex topics into practical actions and outcomes Experience managing multiple stakeholders and influencing decision-making at senior levels Excellent facilitation, communication and stakeholder management skills A structured, collaborative and delivery-focused approach Curiosity, innovation mindset and enthusiasm for the evolving role of data and AI in HR We'd love to hear from you if you have: Experience in People Analytics, Workforce Analytics, Skills intelligence or HR Data Management Exposure to AI, machine learning or advanced analytics use cases in HR Familiarity with HR technology ecosystems including HRIS, payroll, talent, learning, skills management and workforce management solutions and their associated data flows Experience supporting data-driven operating model or organisational transformation initiatives Why join us? This is an opportunity to help shape the future of HR through data, analytics and AI. You will work on high-impact transformation initiatives, collaborate with senior stakeholders and contribute to building capabilities that support better workforce decisions and business outcomes across the organisation. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
Jun 12, 2026
Full time
Bristol MBDA is accelerating the structure and deployment of HR data & AI initiatives to support business transformation and strategic workforce decisions. Operating in an on-premise, heavily governed IT environment across four countries (France, UK, Germany, Italy), the HR Data & AI Office drives initiatives where data security, employee privacy, and social dialogue are as critical as delivery speed. Salary: Circa £ 60,000 - £72,000 depending on experience Dynamic (hybrid) working: 1 day per week on-site Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company Bonus: Bonus of up to 21% of base salary Pension: maximum total (employer and employee) contribution of up to 14% Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . What you'll be doing: As HR Data & AI Project Manager, you will play a key role in shaping and delivering our HR Data & AI agenda across the UK. Working closely with HR, Technology, Data and Business stakeholders, you will help establish the foundations that enable trusted workforce data, actionable insights and future AI-powered capabilities. You will lead and support strategic initiatives that improve how HR data is governed, integrated, analysed and leveraged to create business value, while ensuring alignment with wider HR Data & Ai strategy and objectives. Key responsibilities include: Leading HR data, analytics and AI transformation initiatives from discovery through implementation and adoption Partnering with HR departments to define business requirements and translate them into scalable solutions Supporting the development of HR data governance, data quality and data management practices Driving the delivery of workforce analytics, reporting and insight capabilities that support evidence-based decision-making Identifying opportunities to leverage AI and automation to improve employee experience, operational efficiency and business outcomes Facilitating workshops, governance forums and stakeholder engagement activities to build alignment and drive successful delivery Coordinating cross-functional teams and managing project plans, risks, dependencies and outcomes Contributing to the evolution of our HR Data & AI operating model, standards and ways of working What we're looking for : Experience delivering data, analytics, AI, digital or business transformation programmes, within HR, People or Workforce environments Strong understanding of HR data ecosystems, including HR platforms, data warehouses, analytics solutions, reporting environments and workforce data domains Knowledge of data governance, data quality, data integration, data modelling and information management principles Ability to bridge business, HR and technical stakeholders and translate complex topics into practical actions and outcomes Experience managing multiple stakeholders and influencing decision-making at senior levels Excellent facilitation, communication and stakeholder management skills A structured, collaborative and delivery-focused approach Curiosity, innovation mindset and enthusiasm for the evolving role of data and AI in HR We'd love to hear from you if you have: Experience in People Analytics, Workforce Analytics, Skills intelligence or HR Data Management Exposure to AI, machine learning or advanced analytics use cases in HR Familiarity with HR technology ecosystems including HRIS, payroll, talent, learning, skills management and workforce management solutions and their associated data flows Experience supporting data-driven operating model or organisational transformation initiatives Why join us? This is an opportunity to help shape the future of HR through data, analytics and AI. You will work on high-impact transformation initiatives, collaborate with senior stakeholders and contribute to building capabilities that support better workforce decisions and business outcomes across the organisation. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
Trainee Digital / GPS / HFR Plant Technician About Flannery Plant Hire Flannery Plant Hire is a leading provider of operated and self-drive plant equipment, supporting some of the UK's largest infrastructure and construction projects. We are proud to be at the forefront of innovation and sustainability, embracing the latest technology to improve safety, efficiency and performance across the construction industry. Start Your Career in Construction Technology Are you practical, curious about technology, and looking to build a long-term career? We're looking for enthusiastic individuals to join our team as Trainee Digital / GPS / HFR Plant Technicians. This is an exciting opportunity to learn specialist skills in machine control and safety technology used on modern construction equipment. No previous experience working on plant machinery is required. If you have a positive attitude, enjoy problem-solving and are eager to learn, we'll provide all the training and support you need to succeed. Job Purpose As a Trainee Digital / GPS / HFR Plant Technician, you'll work alongside experienced engineers to prepare construction machinery with advanced digital systems before it is deployed to customer sites. You'll receive hands-on training in the installation, testing and maintenance of GPS Machine Control systems and Human Form Recognition (HFR) safety technology, helping to ensure our equipment is safe, accurate and ready for operation. This is a depot-based role, offering the opportunity to develop valuable technical skills in a growing area of the construction industry. What You'll Be Doing Learning to Install Digital Systems Assist with the installation of GPS Machine Control systems on construction machinery. Support the fitting of Human Form Recognition (HFR) safety systems designed to improve site safety. Learn how to install sensors, antennas, wiring and electronic components. Help prepare machinery for customer deployment. Supporting Servicing and Maintenance Assist with routine inspections and testing of digital equipment. Learn how to identify and report faults. Support experienced technicians with repairs and maintenance. Help ensure all systems are working correctly before machines leave the depot. Calibration and System Checks Learn how to calibrate machine control systems and safety equipment. Carry out basic system checks and testing under supervision. Develop an understanding of how digital technology improves machine accuracy and performance. Data and Technology Assist with uploading machine data and digital files. Learn how to use specialist software and computer systems. Support the setup and configuration of equipment. Workshop Support Work closely with the workshop team to prepare machinery. Assist with equipment upgrades and improvements. Maintain a clean, organised and safe working environment. Follow all health and safety procedures. What We're Looking For We welcome applications from individuals at the start of their careers, including: School or college leavers. Individuals completing apprenticeships. Junior mechanics or technicians. Those with an interest in engineering, construction or technology. Career changers looking to retrain in a technical role. Skills and Attributes A genuine interest in technology and how things work. Practical and hands-on approach to learning. Positive attitude and willingness to learn new skills. Good attention to detail. Strong communication and teamwork skills. Problem-solving mindset. Reliable, motivated and eager to develop. Qualifications Essential: GCSEs (or equivalent), including Maths and English. Basic IT skills and confidence using computers. Desirable: A qualification in engineering, mechanics, electronics, construction or a related subject. Experience using hand tools through work, education or hobbies. Full UK driving licence (or willingness to work towards obtaining one). What You'll Receive: Full training in GPS Machine Control and HFR technology. Structured development programme with ongoing support. Hands-on experience working with advanced construction technology. Mentoring from experienced technicians and engineers. Opportunities for career progression within Flannery Plant Hire. Company equipment provided where required. The chance to build a rewarding career in a growing and innovative sector. Additional Information This is a full-time, depot-based position. Occasional travel may be required for training purposes. No previous plant fitting experience is necessary. Full training will be provided. Why Join Flannery? At Flannery, we invest in people with potential. If you're ready to learn, develop specialist skills and begin a career working with the latest technology in construction, we'd love to hear from you. Start your future with Flannery today.
Jun 12, 2026
Full time
Trainee Digital / GPS / HFR Plant Technician About Flannery Plant Hire Flannery Plant Hire is a leading provider of operated and self-drive plant equipment, supporting some of the UK's largest infrastructure and construction projects. We are proud to be at the forefront of innovation and sustainability, embracing the latest technology to improve safety, efficiency and performance across the construction industry. Start Your Career in Construction Technology Are you practical, curious about technology, and looking to build a long-term career? We're looking for enthusiastic individuals to join our team as Trainee Digital / GPS / HFR Plant Technicians. This is an exciting opportunity to learn specialist skills in machine control and safety technology used on modern construction equipment. No previous experience working on plant machinery is required. If you have a positive attitude, enjoy problem-solving and are eager to learn, we'll provide all the training and support you need to succeed. Job Purpose As a Trainee Digital / GPS / HFR Plant Technician, you'll work alongside experienced engineers to prepare construction machinery with advanced digital systems before it is deployed to customer sites. You'll receive hands-on training in the installation, testing and maintenance of GPS Machine Control systems and Human Form Recognition (HFR) safety technology, helping to ensure our equipment is safe, accurate and ready for operation. This is a depot-based role, offering the opportunity to develop valuable technical skills in a growing area of the construction industry. What You'll Be Doing Learning to Install Digital Systems Assist with the installation of GPS Machine Control systems on construction machinery. Support the fitting of Human Form Recognition (HFR) safety systems designed to improve site safety. Learn how to install sensors, antennas, wiring and electronic components. Help prepare machinery for customer deployment. Supporting Servicing and Maintenance Assist with routine inspections and testing of digital equipment. Learn how to identify and report faults. Support experienced technicians with repairs and maintenance. Help ensure all systems are working correctly before machines leave the depot. Calibration and System Checks Learn how to calibrate machine control systems and safety equipment. Carry out basic system checks and testing under supervision. Develop an understanding of how digital technology improves machine accuracy and performance. Data and Technology Assist with uploading machine data and digital files. Learn how to use specialist software and computer systems. Support the setup and configuration of equipment. Workshop Support Work closely with the workshop team to prepare machinery. Assist with equipment upgrades and improvements. Maintain a clean, organised and safe working environment. Follow all health and safety procedures. What We're Looking For We welcome applications from individuals at the start of their careers, including: School or college leavers. Individuals completing apprenticeships. Junior mechanics or technicians. Those with an interest in engineering, construction or technology. Career changers looking to retrain in a technical role. Skills and Attributes A genuine interest in technology and how things work. Practical and hands-on approach to learning. Positive attitude and willingness to learn new skills. Good attention to detail. Strong communication and teamwork skills. Problem-solving mindset. Reliable, motivated and eager to develop. Qualifications Essential: GCSEs (or equivalent), including Maths and English. Basic IT skills and confidence using computers. Desirable: A qualification in engineering, mechanics, electronics, construction or a related subject. Experience using hand tools through work, education or hobbies. Full UK driving licence (or willingness to work towards obtaining one). What You'll Receive: Full training in GPS Machine Control and HFR technology. Structured development programme with ongoing support. Hands-on experience working with advanced construction technology. Mentoring from experienced technicians and engineers. Opportunities for career progression within Flannery Plant Hire. Company equipment provided where required. The chance to build a rewarding career in a growing and innovative sector. Additional Information This is a full-time, depot-based position. Occasional travel may be required for training purposes. No previous plant fitting experience is necessary. Full training will be provided. Why Join Flannery? At Flannery, we invest in people with potential. If you're ready to learn, develop specialist skills and begin a career working with the latest technology in construction, we'd love to hear from you. Start your future with Flannery today.
Salary £75,000 - £84,317 per annum Location Remote first in the UK. Most of the team work primarily from home but we also have an office available in Central London for in-person meetings with your team and quarterly all team meetings. You can expect to travel to the office at least once a month. This role may also include some international travel. Reporting to Chief Executive Officer Employment Type Permanent Full time - 35 hours per week We are happy to talk about flexible working. Application Closing Date 10am, Monday 22 June 2026 Introduction to the role This is a rare and compelling opportunity, at a moment when our information environment is under significant strain: a senior role with real autonomy, meaningful mission, and genuine influence at the intersection of AI, journalism, and public policy. As Head of AI, you'll sit on Full Fact's management team and contribute directly to our overall strategy. Your work will span: Technology leadership; You'll lead the development of Full Fact's AI projects, manage an in-house technology team, and ensure our collection of tools work effectively within real fact checking, journalism and AI workflows. You'll also guide how we collect and use data to improve automation and interoperability at scale. Strategic partnerships; You'll build and maintain relationships with fact checking organisations, media, academics, and civil society collaborating on AI tools, best practices, and responsible use of OSINT methodologies. Revenue and fundraising; You'll help secure grants and institutional partnerships to sustain Full Fact's AI work, and develop commercial opportunities that are aligned with our mission. Policy and advocacy; You'll engage with major platforms, the UK government, regulators, and parliamentary bodies to shape policy on AI governance, online safety, and misinformation. You'll advocate for transparency and accountability in AI-driven content moderation, and contribute to global conversations about technology and misinformation. We're looking for a technology expert with a clear sense of mission and great leadership skills. Prior experience of working in the ecosystem surrounding misinformation and disinformation is desirable but not essential. If you are interested in applying but not sure you have all the skills, please do apply. We are open both to supporting learning on the job and to rearranging tasks within the team to suit the skillsets of the best applicant. Job Definition 1. Technology Leadership Lead the development and enhancement of Full Fact s AI platform to support fact checkers, journalists and researchers worldwide. Manage an in-house technology team, setting priorities and ensuring effective delivery of projects, including a major new initiative to create a public interest benchmark of the output of LLMs. Oversee the integration of AI tools within workflows which focus on misinformation and disinformation, ensuring they align with ethical and operational needs. Guide the collection, structuring, and use of data to improve automation, discoverability, and interoperability of fact checks. Support the development of training datasets, benchmarking and other methodologies to improve AI-assisted fact checking and information integrity research. 2. Strategic Partnerships & Industry Engagement Develop and maintain relationships with fact checking organisations to collaborate on AI tools and best practices. Work with media organisations, academics, and civil society groups on misinformation and AI-related projects. Support the responsible use of OSINT methodologies in Full Fact via collaboration with other fact checkers and investigative teams. Represent Full Fact in industry discussions on AI ethics, content moderation, misinformation detection, and AI model governance. 3. Revenue Growth & Fundraising Help secure funding for Full Fact s AI work through grants, philanthropy, and institutional partnerships. Develop commercial revenue opportunities aligned with Full Fact s mission to support the sustainability of AI and other technology initiatives. 4. Policy Development & Advocacy Engage with major technology platforms to influence their policies on misinformation, fact checking, and AI applications. Work with the UK government, regulators, and parliamentary bodies to shape policy on AI governance, online safety, and misinformation. Advocate for transparency and accountability in AI-driven content moderation and misinformation detection. Contribute to global standards development, including broader structured data approaches to support fact checking at scale. 5. Organisation Leadership Contribute to the strategic direction and impact of Full Fact and provide leadership to all colleagues. What we are looking for from you Political impartiality and sensitivity: You are committed to the political neutrality of our work and have a good understanding of impartiality (please see the rules on our website). Understanding of public debate in the UK and sensitivity to the political context we work in. Essential skills & experience Experience leading technology teams, particularly in AI, machine learning, or NLP. Understanding of AI s role in misinformation detection and fact checking. Experience engaging with technology platforms and policymakers on AI and trust and safety issues. Proven ability to secure funding through grants, partnerships, or commercial initiatives. Strong communication skills, with the ability to work across technical and non-technical teams. Desirable skills & experience Familiarity with fact checking ecosystems, structured data, and OSINT techniques. Experience in nonprofit or mission driven organisations. Knowledge of the media and journalism landscape. Understanding of AI model training processes, data governance, and ethical AI deployment. What we offer Starting salary of £75,000 - £84,317 per annum depending on experience. Workplace Pension Generous holidays 25 days holiday plus bank holidays. In addition, we close the office for a period between Christmas and New Year. Day off for moving home. Comfortable, centrally located London office with good transport links. Employee Assistance Programme. Additional Application Instructions How to apply Upload your CV and cover letter using the link by 10am on Monday 22 June 2026. Our recruitment platform will remove identifying details such as email addresses to allow us to sift applications anonymously Before applying, please read the requirements we place on staff to protect Full Fact s independence and non-partisanship How the application process will work We want to see you at your best to understand your strengths and the contribution you could make at Full Fact with strong support, including for your learning and development. We also want to make sure that we use your time well during this process and don t ask for more from you than we need to. We will make any reasonable adjustments we need to make to this process to help ensure you can perform at your best. For more information about this before applying, please contact . The interview panel will include Chris Morris, CEO, and other members of the senior management team. There will also be an opportunity to meet members of the AI team as part of the interview process. The process starts off with an anonymised covering letter and CV. This will be read by at least two people to produce a shortlist for interview. The first round interviews will be a phone (not video) interview, lasting no more than half an hour, at a time that s convenient for you. We will record it so at least two people can review each interview to decide who we invite back for the second round. The recordings will be deleted at the end of the process. The second interview will be with the full panel by video and last no more than an hour. We ll tell you everything you need to know to prepare, including anything we d recommend reading in advance. This round may also include an additional technical conversation.
Jun 12, 2026
Full time
Salary £75,000 - £84,317 per annum Location Remote first in the UK. Most of the team work primarily from home but we also have an office available in Central London for in-person meetings with your team and quarterly all team meetings. You can expect to travel to the office at least once a month. This role may also include some international travel. Reporting to Chief Executive Officer Employment Type Permanent Full time - 35 hours per week We are happy to talk about flexible working. Application Closing Date 10am, Monday 22 June 2026 Introduction to the role This is a rare and compelling opportunity, at a moment when our information environment is under significant strain: a senior role with real autonomy, meaningful mission, and genuine influence at the intersection of AI, journalism, and public policy. As Head of AI, you'll sit on Full Fact's management team and contribute directly to our overall strategy. Your work will span: Technology leadership; You'll lead the development of Full Fact's AI projects, manage an in-house technology team, and ensure our collection of tools work effectively within real fact checking, journalism and AI workflows. You'll also guide how we collect and use data to improve automation and interoperability at scale. Strategic partnerships; You'll build and maintain relationships with fact checking organisations, media, academics, and civil society collaborating on AI tools, best practices, and responsible use of OSINT methodologies. Revenue and fundraising; You'll help secure grants and institutional partnerships to sustain Full Fact's AI work, and develop commercial opportunities that are aligned with our mission. Policy and advocacy; You'll engage with major platforms, the UK government, regulators, and parliamentary bodies to shape policy on AI governance, online safety, and misinformation. You'll advocate for transparency and accountability in AI-driven content moderation, and contribute to global conversations about technology and misinformation. We're looking for a technology expert with a clear sense of mission and great leadership skills. Prior experience of working in the ecosystem surrounding misinformation and disinformation is desirable but not essential. If you are interested in applying but not sure you have all the skills, please do apply. We are open both to supporting learning on the job and to rearranging tasks within the team to suit the skillsets of the best applicant. Job Definition 1. Technology Leadership Lead the development and enhancement of Full Fact s AI platform to support fact checkers, journalists and researchers worldwide. Manage an in-house technology team, setting priorities and ensuring effective delivery of projects, including a major new initiative to create a public interest benchmark of the output of LLMs. Oversee the integration of AI tools within workflows which focus on misinformation and disinformation, ensuring they align with ethical and operational needs. Guide the collection, structuring, and use of data to improve automation, discoverability, and interoperability of fact checks. Support the development of training datasets, benchmarking and other methodologies to improve AI-assisted fact checking and information integrity research. 2. Strategic Partnerships & Industry Engagement Develop and maintain relationships with fact checking organisations to collaborate on AI tools and best practices. Work with media organisations, academics, and civil society groups on misinformation and AI-related projects. Support the responsible use of OSINT methodologies in Full Fact via collaboration with other fact checkers and investigative teams. Represent Full Fact in industry discussions on AI ethics, content moderation, misinformation detection, and AI model governance. 3. Revenue Growth & Fundraising Help secure funding for Full Fact s AI work through grants, philanthropy, and institutional partnerships. Develop commercial revenue opportunities aligned with Full Fact s mission to support the sustainability of AI and other technology initiatives. 4. Policy Development & Advocacy Engage with major technology platforms to influence their policies on misinformation, fact checking, and AI applications. Work with the UK government, regulators, and parliamentary bodies to shape policy on AI governance, online safety, and misinformation. Advocate for transparency and accountability in AI-driven content moderation and misinformation detection. Contribute to global standards development, including broader structured data approaches to support fact checking at scale. 5. Organisation Leadership Contribute to the strategic direction and impact of Full Fact and provide leadership to all colleagues. What we are looking for from you Political impartiality and sensitivity: You are committed to the political neutrality of our work and have a good understanding of impartiality (please see the rules on our website). Understanding of public debate in the UK and sensitivity to the political context we work in. Essential skills & experience Experience leading technology teams, particularly in AI, machine learning, or NLP. Understanding of AI s role in misinformation detection and fact checking. Experience engaging with technology platforms and policymakers on AI and trust and safety issues. Proven ability to secure funding through grants, partnerships, or commercial initiatives. Strong communication skills, with the ability to work across technical and non-technical teams. Desirable skills & experience Familiarity with fact checking ecosystems, structured data, and OSINT techniques. Experience in nonprofit or mission driven organisations. Knowledge of the media and journalism landscape. Understanding of AI model training processes, data governance, and ethical AI deployment. What we offer Starting salary of £75,000 - £84,317 per annum depending on experience. Workplace Pension Generous holidays 25 days holiday plus bank holidays. In addition, we close the office for a period between Christmas and New Year. Day off for moving home. Comfortable, centrally located London office with good transport links. Employee Assistance Programme. Additional Application Instructions How to apply Upload your CV and cover letter using the link by 10am on Monday 22 June 2026. Our recruitment platform will remove identifying details such as email addresses to allow us to sift applications anonymously Before applying, please read the requirements we place on staff to protect Full Fact s independence and non-partisanship How the application process will work We want to see you at your best to understand your strengths and the contribution you could make at Full Fact with strong support, including for your learning and development. We also want to make sure that we use your time well during this process and don t ask for more from you than we need to. We will make any reasonable adjustments we need to make to this process to help ensure you can perform at your best. For more information about this before applying, please contact . The interview panel will include Chris Morris, CEO, and other members of the senior management team. There will also be an opportunity to meet members of the AI team as part of the interview process. The process starts off with an anonymised covering letter and CV. This will be read by at least two people to produce a shortlist for interview. The first round interviews will be a phone (not video) interview, lasting no more than half an hour, at a time that s convenient for you. We will record it so at least two people can review each interview to decide who we invite back for the second round. The recordings will be deleted at the end of the process. The second interview will be with the full panel by video and last no more than an hour. We ll tell you everything you need to know to prepare, including anything we d recommend reading in advance. This round may also include an additional technical conversation.
The Role The Turing has recently been awarded a £1m EPSRC research grant to develop AI methods that can support and enhance intelligence analysis for national security and defence . For this project, the Turing will lead an interdisciplinary consortium that also includes Warwick, Southampton, Heriot-Watt and Cardiff Universities, working closely with UK government defence and national security partners. The project, entitled AI Intelligence Triage & Acquisition Support for Human-centred Analysis (AiTASHA), aims to improve the speed and confidence of intelligence analysts assessments by building new AI tools that can work alongside human analysts. This role will be part of the Defence and National Security (D&NS) Programme and will report directly to the PI for the AiTASHA project. Within the Turing, this role will sit primarily within the Defence Artificial Intelligence Research (DARe) centre, which encompasses diverse AI research spanning future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE We are seeking a highly skilled Senior Research Associate to conduct internationally leading research in machine learning, with applications to intelligence analysis. You ll have expertise in machine learning research, including areas such as LLMs, computer vision, explainability or uncertainty quantification, alongside a track record of developing innovative solutions to complex real-world problems. You ll be a collaborative researcher and communicator, comfortable working across disciplines and translating research into practical impact. Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . HOW YOU WILL MAKE AN IMPACT Play a leading role in undertaking high-quality research, actively contributing to, and steering the broader research aims of the Defence & National Security Grand Challenge. Provide technical leadership for research projects, ensuring successful outcomes, including that research outcomes meet our government partners requirements and can be deployed in the real world. Contribute to, and lead where required, interdisciplinary research teams spanning multiple partner organisations. Contribute to software development including planning, execution and package release and management. Please see our portal for a full breakdown of the Job Description. TERMS AND CONDITIONS This post is offered on a fixed term basis for 2 years from start date. The annual salary is £56,840 £58,482 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. APPLICATION PROCEDURE If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. EQUALITY, DIVERSITY AND INCLUSION We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed .
Jun 12, 2026
Full time
The Role The Turing has recently been awarded a £1m EPSRC research grant to develop AI methods that can support and enhance intelligence analysis for national security and defence . For this project, the Turing will lead an interdisciplinary consortium that also includes Warwick, Southampton, Heriot-Watt and Cardiff Universities, working closely with UK government defence and national security partners. The project, entitled AI Intelligence Triage & Acquisition Support for Human-centred Analysis (AiTASHA), aims to improve the speed and confidence of intelligence analysts assessments by building new AI tools that can work alongside human analysts. This role will be part of the Defence and National Security (D&NS) Programme and will report directly to the PI for the AiTASHA project. Within the Turing, this role will sit primarily within the Defence Artificial Intelligence Research (DARe) centre, which encompasses diverse AI research spanning future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE We are seeking a highly skilled Senior Research Associate to conduct internationally leading research in machine learning, with applications to intelligence analysis. You ll have expertise in machine learning research, including areas such as LLMs, computer vision, explainability or uncertainty quantification, alongside a track record of developing innovative solutions to complex real-world problems. You ll be a collaborative researcher and communicator, comfortable working across disciplines and translating research into practical impact. Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . HOW YOU WILL MAKE AN IMPACT Play a leading role in undertaking high-quality research, actively contributing to, and steering the broader research aims of the Defence & National Security Grand Challenge. Provide technical leadership for research projects, ensuring successful outcomes, including that research outcomes meet our government partners requirements and can be deployed in the real world. Contribute to, and lead where required, interdisciplinary research teams spanning multiple partner organisations. Contribute to software development including planning, execution and package release and management. Please see our portal for a full breakdown of the Job Description. TERMS AND CONDITIONS This post is offered on a fixed term basis for 2 years from start date. The annual salary is £56,840 £58,482 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. APPLICATION PROCEDURE If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. EQUALITY, DIVERSITY AND INCLUSION We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed .
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Jun 12, 2026
Full time
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Payments Director A growing and innovative regulated financial services organisation is seeking an experienced Payments Director to lead the strategic development, governance, operational performance, and future evolution of its payments function. This senior leadership role is responsible for overseeing payment operations, payment schemes, technology delivery, and transformation initiatives across a broad range of payment services. The successful candidate will play a key role in shaping the future payments landscape by driving innovation, operational excellence, and the adoption of emerging technologies, including artificial intelligence and automation. The role requires a highly capable leader who can operate strategically while remaining close to operational delivery, ensuring payment services are efficient, scalable, compliant, and customer-focused. Key Responsibilities Strategic Leadership Develop and deliver the organisation's payments strategy across existing and emerging payment solutions. Act as the senior payments subject matter expert across all payment rails and payment-related initiatives. Partner with Product, Technology, Risk, and Operations teams to drive innovation and enhance payment capabilities. Identify opportunities to improve efficiency, customer experience, and scalability through automation, artificial intelligence, and machine learning. Ensure the payments function supports the organisation's growth ambitions and strategic objectives. Payments Operations Oversee end-to-end payment operations across: Card payments Direct Debit and Direct Credit services Real-time payment schemes International payment services Ensure payment processes are efficient, resilient, scalable, and customer-centric. Establish meaningful management information and performance metrics to monitor service delivery and identify opportunities for improvement. Maintain high levels of operational performance and service reliability. Provide leadership and support during operational incidents and critical business activities where required. Scheme Governance & Partner Management Own and manage relationships with key payment schemes and payment service providers. Ensure full compliance with all scheme rules, mandates, operational requirements, and service obligations. Provide guidance and oversight regarding industry developments, scheme changes, and regulatory requirements. Support the expansion and optimisation of payment capabilities across multiple payment rails and services. Maintain strong governance frameworks across all payment-related partnerships and activities. Technology, Product & Change Delivery Work closely with Technology and Product teams to design, develop, and implement new payment products and enhancements. Provide subject matter expertise on payment infrastructure, integrations, and payment technologies. Lead payment-related transformation and change initiatives from concept through to delivery. Ensure projects are delivered in line with operational, regulatory, and customer requirements. Support the adoption of modern technologies and payment innovations to maintain a competitive market position. Automation, AI & Operational Efficiency Champion the use of automation, artificial intelligence, machine learning, and data-driven decision making across the payments function. Drive efficiency improvements across: Payment processing Reconciliation and settlement Exception management Fraud monitoring and prevention Operational workflows and controls Utilise data and analytics to improve performance, reduce costs, and enhance customer outcomes. Risk, Compliance & Governance Ensure payment activities operate within applicable regulatory, legal, and industry frameworks. Maintain robust controls, governance standards, and audit readiness across all payment operations. Support safeguarding obligations, financial crime prevention measures, and operational resilience requirements. Assess and manage risks associated with new products, technologies, partnerships, and payment flows. Promote a culture of strong governance, accountability, and continuous improvement. Leadership & Team Development Lead, develop, and inspire a high-performing payments team. Build capability across payment operations, scheme management, and payment technologies. Foster a culture of accountability, collaboration, innovation, and continuous improvement. Support succession planning, talent development, and employee engagement initiatives. Provide effective leadership across multiple teams and stakeholders. Skills & Experience Essential Significant senior leadership experience within payments in a bank, fintech, payment institution, or regulated financial services environment. Extensive knowledge of card payment schemes, including scheme governance and compliance requirements. Strong experience across UK payment schemes and international payment services. Proven experience working closely with Technology and Product teams to deliver payment solutions and enhancements. Demonstrable success leading operational teams within a fast-paced and evolving environment. Strong track record of driving operational improvements, automation, and change initiatives. Excellent understanding of payment operations, governance, risk management, and customer outcomes. Ability to operate both strategically and hands-on when required. Desirable Experience across multiple card schemes and payment networks. Knowledge of additional UK and international payment infrastructures. Understanding of regulatory requirements relating to payments and e-money services. Experience implementing AI, automation, machine learning, or advanced analytics within operational environments. Exposure to European payment schemes and cross-border payment solutions. Personal Attributes Strategic and commercially minded. Passionate about innovation and emerging technologies. Strong leadership and stakeholder management capabilities. Customer-focused with a commitment to service excellence. Resilient, adaptable, and comfortable operating in a dynamic environment. Collaborative and influential, with the ability to build strong internal and external relationships. Results-driven with a focus on continuous improvement and delivery. What Success Looks Like Delivery of a scalable and future-ready payments strategy. Strong operational performance across all payment services. Measurable efficiency gains through automation and innovation. Robust governance and compliance standards across payment activities. Successful delivery of new payment products, capabilities, and enhancements. A highly engaged and high-performing payments team. Excellent customer outcomes and consistently reliable payment services. Why Join Us? This is an opportunity to join a growing financial services organisation at an exciting stage of its journey. You will play a pivotal role in shaping the future of the payments function, influencing strategic direction, driving innovation, and delivering meaningful change across a business committed to growth, customer excellence, and technological advancement. Interested? Please Click Apply Now! Payments Director
Jun 12, 2026
Full time
Payments Director A growing and innovative regulated financial services organisation is seeking an experienced Payments Director to lead the strategic development, governance, operational performance, and future evolution of its payments function. This senior leadership role is responsible for overseeing payment operations, payment schemes, technology delivery, and transformation initiatives across a broad range of payment services. The successful candidate will play a key role in shaping the future payments landscape by driving innovation, operational excellence, and the adoption of emerging technologies, including artificial intelligence and automation. The role requires a highly capable leader who can operate strategically while remaining close to operational delivery, ensuring payment services are efficient, scalable, compliant, and customer-focused. Key Responsibilities Strategic Leadership Develop and deliver the organisation's payments strategy across existing and emerging payment solutions. Act as the senior payments subject matter expert across all payment rails and payment-related initiatives. Partner with Product, Technology, Risk, and Operations teams to drive innovation and enhance payment capabilities. Identify opportunities to improve efficiency, customer experience, and scalability through automation, artificial intelligence, and machine learning. Ensure the payments function supports the organisation's growth ambitions and strategic objectives. Payments Operations Oversee end-to-end payment operations across: Card payments Direct Debit and Direct Credit services Real-time payment schemes International payment services Ensure payment processes are efficient, resilient, scalable, and customer-centric. Establish meaningful management information and performance metrics to monitor service delivery and identify opportunities for improvement. Maintain high levels of operational performance and service reliability. Provide leadership and support during operational incidents and critical business activities where required. Scheme Governance & Partner Management Own and manage relationships with key payment schemes and payment service providers. Ensure full compliance with all scheme rules, mandates, operational requirements, and service obligations. Provide guidance and oversight regarding industry developments, scheme changes, and regulatory requirements. Support the expansion and optimisation of payment capabilities across multiple payment rails and services. Maintain strong governance frameworks across all payment-related partnerships and activities. Technology, Product & Change Delivery Work closely with Technology and Product teams to design, develop, and implement new payment products and enhancements. Provide subject matter expertise on payment infrastructure, integrations, and payment technologies. Lead payment-related transformation and change initiatives from concept through to delivery. Ensure projects are delivered in line with operational, regulatory, and customer requirements. Support the adoption of modern technologies and payment innovations to maintain a competitive market position. Automation, AI & Operational Efficiency Champion the use of automation, artificial intelligence, machine learning, and data-driven decision making across the payments function. Drive efficiency improvements across: Payment processing Reconciliation and settlement Exception management Fraud monitoring and prevention Operational workflows and controls Utilise data and analytics to improve performance, reduce costs, and enhance customer outcomes. Risk, Compliance & Governance Ensure payment activities operate within applicable regulatory, legal, and industry frameworks. Maintain robust controls, governance standards, and audit readiness across all payment operations. Support safeguarding obligations, financial crime prevention measures, and operational resilience requirements. Assess and manage risks associated with new products, technologies, partnerships, and payment flows. Promote a culture of strong governance, accountability, and continuous improvement. Leadership & Team Development Lead, develop, and inspire a high-performing payments team. Build capability across payment operations, scheme management, and payment technologies. Foster a culture of accountability, collaboration, innovation, and continuous improvement. Support succession planning, talent development, and employee engagement initiatives. Provide effective leadership across multiple teams and stakeholders. Skills & Experience Essential Significant senior leadership experience within payments in a bank, fintech, payment institution, or regulated financial services environment. Extensive knowledge of card payment schemes, including scheme governance and compliance requirements. Strong experience across UK payment schemes and international payment services. Proven experience working closely with Technology and Product teams to deliver payment solutions and enhancements. Demonstrable success leading operational teams within a fast-paced and evolving environment. Strong track record of driving operational improvements, automation, and change initiatives. Excellent understanding of payment operations, governance, risk management, and customer outcomes. Ability to operate both strategically and hands-on when required. Desirable Experience across multiple card schemes and payment networks. Knowledge of additional UK and international payment infrastructures. Understanding of regulatory requirements relating to payments and e-money services. Experience implementing AI, automation, machine learning, or advanced analytics within operational environments. Exposure to European payment schemes and cross-border payment solutions. Personal Attributes Strategic and commercially minded. Passionate about innovation and emerging technologies. Strong leadership and stakeholder management capabilities. Customer-focused with a commitment to service excellence. Resilient, adaptable, and comfortable operating in a dynamic environment. Collaborative and influential, with the ability to build strong internal and external relationships. Results-driven with a focus on continuous improvement and delivery. What Success Looks Like Delivery of a scalable and future-ready payments strategy. Strong operational performance across all payment services. Measurable efficiency gains through automation and innovation. Robust governance and compliance standards across payment activities. Successful delivery of new payment products, capabilities, and enhancements. A highly engaged and high-performing payments team. Excellent customer outcomes and consistently reliable payment services. Why Join Us? This is an opportunity to join a growing financial services organisation at an exciting stage of its journey. You will play a pivotal role in shaping the future of the payments function, influencing strategic direction, driving innovation, and delivering meaningful change across a business committed to growth, customer excellence, and technological advancement. Interested? Please Click Apply Now! Payments Director
AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation's AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
Jun 12, 2026
Full time
AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation's AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
