Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
16/07/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About Our Team Our global team supports products in education, electronic health records, and data discovery that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge discovery applications. Develop LLM powered workflows and retrieval augmented generation (RAG) systems for search, summarization, question answering, and evidence grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands on experience building AI/ML, NLP, generative AI, and retrieval based systems in applied or product focused environments. Expertise working with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large scale text or content rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Benefits & Working Pattern We promote a healthy work/life balance and offer flexible hours, allowing you to schedule work around your most productive times. Our wellbeing initiatives, shared parental leave, study assistance, and sabbaticals help you meet both immediate responsibilities and long term goals. Equal Opportunity Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
16/07/2026
Full time
Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About Our Team Our global team supports products in education, electronic health records, and data discovery that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge discovery applications. Develop LLM powered workflows and retrieval augmented generation (RAG) systems for search, summarization, question answering, and evidence grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands on experience building AI/ML, NLP, generative AI, and retrieval based systems in applied or product focused environments. Expertise working with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large scale text or content rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Benefits & Working Pattern We promote a healthy work/life balance and offer flexible hours, allowing you to schedule work around your most productive times. Our wellbeing initiatives, shared parental leave, study assistance, and sabbaticals help you meet both immediate responsibilities and long term goals. Equal Opportunity Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. Group role reporting to the IT team The role will focus on AI/ML infrastructure for various group use cases from proprietary models training to efficient 3rd party tool running environments etc. This role will be working with all Group central teams (Marketing, Finance, HR, AI, IT). Role Overview You will build and maintain the high-performance infrastructure required to train and deploy AI models that impact millions of players in real-time, as well as improve productivity of everyone at Tripledot. You will serve as a bridge between the technical solutions that are created by our teams and our live game engines, as well as creating and maintaining infrastructure for internal IT needs. Within the group AI functions you'll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. Within group IT, you'll partner with Engineering, TechOps, and Security to deliver the infrastructure and tooling that powers our central business functions: gaming, finance, marketing, legal, people ops, and beyond. The first initiative you'll be taking part of is the expansion of a data/ML Platform to support ML engineers and data scientists to easily deploy their solutions, and enabling delivery of key projects like LTV and Ads Optimization. Key Responsibilities Improve and maintain a scalable, speedy and reliable data and ML platform to support AI/ML initiatives within group AI, ensuring models move seamlessly from research to production. Support group IT to provide reliable access to open source AI models and ensure safe reliable access to AI productivity tools. Create and maintain proper monitoring and alerting tools to ensure our systems can provide the correct SLA and SLOs defined by the stakeholders. Implement and advocate for engineering best practices, including CI/CD, infrastructure as code like Terraform, usage of version control, testing, observability, while keeping costs in mind. Ensure standardized cross-studio access & security to enable timely data access and ingestion (AWS and Google Cloud). Enable the teams with different environments for testing new setups, tools, without disrupting the day-to-day operations of the team and production workflows. Track usage for all our deployed applications, and identify areas of improvement, making the best use of resources. Keep up with the relevant technologies, best practices, especially related to AI productivity tools, continuously emerging in the industry. What we are looking for 5+ years in the industry as a DevOps, SRE Engineer or or Platform Engineer, ideally in gaming, mobile apps, or other high-scale digital products. Strong hands on experience with Kubernetes in production - not just running workloads on it, but operating it. Cost aware infrastructure decision making. Solid Terraform (or OpenTofu) experience, with a track record of keeping IaC sustainable as it grows. Proven experience in delivering data and AI/ML solutions in production for both AWS and a working knowledge of GCP or willingness to come to speed quickly. Bonus if this experience is within the gaming industry. Comfortable owning CI/CD pipelines with common tools (GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar). Hands on experience with cloud and Kubernetes security fundamentals, IAM/RBAC, secrets management (ex. Vault, AWS Secrets Manager, External Secrets), network policies, and integrating security checks into CI/CD pipelines. Strong instincts for observability, monitoring, and alerting, you've built dashboards and alerts that teams actually rely on, and you know the difference between a useful page and noise. Hands on with tools like Prometheus, Grafana, Datadog, CloudWatch, or similar. Solid incident response experience. The current data and AI/ML stack uses open source tools like Airflow, Trino, Spark, and Kubeflow. Familiarity with deploying these tools, as well as tweaking them for improved performance, is a bonus. Understanding of ML Ops best practices and common architectures is also a bonus. Hands on knowledge of Python and/or other scripting languages. Experience creating infrastructure for both traditional and modern agentic data intensive systems is a bonus. Focus on innovation, coupled with a mindset of continuous learning and curiosity to explore emerging AI technologies. The successful candidate will have an agile, hands on approach to prototyping and validation, and ability to Get Stuff Done in a fast paced environment. Excellent communication and collaboration skills necessary for working effectively with both technical and non technical teams. Understanding how to drive results with key business stakeholders. You will be part of a fun mobile gaming company aiming to embrace the future of AI driven creativity and exploring where the industry is moving. You will be instrumental in shaping the backbone of the AI/ML and IT systems that will power solutions that will spread throughout the whole group. You will operate in an environment that values an experimental mindset, focusing on learning opportunities and pioneering generative game creation. Working at Tripledot (in London) 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days fully remote working: Work from anywhere in the world, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones. Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses. Dental Cover: Flash your best smile with our dental cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program subject to policy Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute. Pension Plan: Secure your future with our contributory pension plan.
16/07/2026
Full time
Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. Group role reporting to the IT team The role will focus on AI/ML infrastructure for various group use cases from proprietary models training to efficient 3rd party tool running environments etc. This role will be working with all Group central teams (Marketing, Finance, HR, AI, IT). Role Overview You will build and maintain the high-performance infrastructure required to train and deploy AI models that impact millions of players in real-time, as well as improve productivity of everyone at Tripledot. You will serve as a bridge between the technical solutions that are created by our teams and our live game engines, as well as creating and maintaining infrastructure for internal IT needs. Within the group AI functions you'll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. Within group IT, you'll partner with Engineering, TechOps, and Security to deliver the infrastructure and tooling that powers our central business functions: gaming, finance, marketing, legal, people ops, and beyond. The first initiative you'll be taking part of is the expansion of a data/ML Platform to support ML engineers and data scientists to easily deploy their solutions, and enabling delivery of key projects like LTV and Ads Optimization. Key Responsibilities Improve and maintain a scalable, speedy and reliable data and ML platform to support AI/ML initiatives within group AI, ensuring models move seamlessly from research to production. Support group IT to provide reliable access to open source AI models and ensure safe reliable access to AI productivity tools. Create and maintain proper monitoring and alerting tools to ensure our systems can provide the correct SLA and SLOs defined by the stakeholders. Implement and advocate for engineering best practices, including CI/CD, infrastructure as code like Terraform, usage of version control, testing, observability, while keeping costs in mind. Ensure standardized cross-studio access & security to enable timely data access and ingestion (AWS and Google Cloud). Enable the teams with different environments for testing new setups, tools, without disrupting the day-to-day operations of the team and production workflows. Track usage for all our deployed applications, and identify areas of improvement, making the best use of resources. Keep up with the relevant technologies, best practices, especially related to AI productivity tools, continuously emerging in the industry. What we are looking for 5+ years in the industry as a DevOps, SRE Engineer or or Platform Engineer, ideally in gaming, mobile apps, or other high-scale digital products. Strong hands on experience with Kubernetes in production - not just running workloads on it, but operating it. Cost aware infrastructure decision making. Solid Terraform (or OpenTofu) experience, with a track record of keeping IaC sustainable as it grows. Proven experience in delivering data and AI/ML solutions in production for both AWS and a working knowledge of GCP or willingness to come to speed quickly. Bonus if this experience is within the gaming industry. Comfortable owning CI/CD pipelines with common tools (GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar). Hands on experience with cloud and Kubernetes security fundamentals, IAM/RBAC, secrets management (ex. Vault, AWS Secrets Manager, External Secrets), network policies, and integrating security checks into CI/CD pipelines. Strong instincts for observability, monitoring, and alerting, you've built dashboards and alerts that teams actually rely on, and you know the difference between a useful page and noise. Hands on with tools like Prometheus, Grafana, Datadog, CloudWatch, or similar. Solid incident response experience. The current data and AI/ML stack uses open source tools like Airflow, Trino, Spark, and Kubeflow. Familiarity with deploying these tools, as well as tweaking them for improved performance, is a bonus. Understanding of ML Ops best practices and common architectures is also a bonus. Hands on knowledge of Python and/or other scripting languages. Experience creating infrastructure for both traditional and modern agentic data intensive systems is a bonus. Focus on innovation, coupled with a mindset of continuous learning and curiosity to explore emerging AI technologies. The successful candidate will have an agile, hands on approach to prototyping and validation, and ability to Get Stuff Done in a fast paced environment. Excellent communication and collaboration skills necessary for working effectively with both technical and non technical teams. Understanding how to drive results with key business stakeholders. You will be part of a fun mobile gaming company aiming to embrace the future of AI driven creativity and exploring where the industry is moving. You will be instrumental in shaping the backbone of the AI/ML and IT systems that will power solutions that will spread throughout the whole group. You will operate in an environment that values an experimental mindset, focusing on learning opportunities and pioneering generative game creation. Working at Tripledot (in London) 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days fully remote working: Work from anywhere in the world, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones. Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses. Dental Cover: Flash your best smile with our dental cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program subject to policy Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute. Pension Plan: Secure your future with our contributory pension plan.
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
16/07/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
16/07/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
JOB BAND: D CONTRACT TYPE: Permanent, Full-time DEPARTMENT: BBC Media Technology LOCATION: Salford PROPOSED SALARY RANGE: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE The Senior AI Engineer (Gen AI) will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently. The role will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams to build the data pipelines and technical solutions that enable AI projects to move effectively through piloting to successful handover to the business for scaling. WHY JOIN THE TEAM These roles will sit within BBC Media Technology and be embedded within the BBC's Strategy and Transformation team, focusing on Gen AI transformation. The Generative AI Team helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC's public service mission. The team's activities include enabling adoption of AI tools across the organisation; leading innovation and transformation work; and leading the BBC's engagement on the wider AI issues that shape our operating environment. The work we do makes the most of AI to deliver value for the BBC's teams and audiences. The challenges are new and exciting, and you'll have real influence over how one of the world's most trusted public broadcasters adopts AI in a way that is practical, responsible and true to its values. YOUR KEY RESPONSIBILITIES AND IMPACT Help evaluate AI and automation capabilities, both existing and emerging, using data and evidence to inform decisions about the most appropriate solutions for BBC contexts. Design and develop data pipelines, technical components and supporting capabilities that enable the evaluation and adoption of agentic and AI automation tooling. Work with colleagues across the team to design AI, agentic and automation solutions that address clearly defined operational or domain-specific problems. Build secure, resilient and maintainable data engineering solutions that support experimentation as well as more scalable use where appropriate. Collaborate closely with domain experts, data scientists, analysts, researchers, designers and project management teams to translate requirements into valuable solutions. Contribute to good engineering practice across the team, supporting high standards in data quality, governance, documentation and continuous improvement. Ensure work is carried out in line with the BBC's organisational values, security requirements and responsible approach to AI adoption. YOUR SKILLS AND EXPERIENCE Experience with designing, delivering LLM-based workflows or applications including pipelines, models and platform components. Strong engineering practices including proficiency in Python and demonstrable use of AI assisted development tools to improve code quality and delivery pace. Hands on experience with: Cloud platforms and infrastructure (AWS preferred) - including Infrastructure as Code Container and orchestration tools (e.g. Docker, Kubernetes) Experience of working with multidisciplinary teams to understand business or user problems and translate them into valuable solutions. Ability to evaluate new tools or technologies critically, using evidence and sound judgement to assess their effectiveness and suitability. Familiarity with API development frameworks (FastAPI or equivalent). Experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large organisations. Sound understanding of data governance, security and quality considerations, with the ability to apply these appropriately in innovative or experimental contexts. A strong academic background or research credentials in data or AI engineering or a related discipline. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Benefits Fair pay and flexible benefits including a competitive salary package, a flexible 35 hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values based organisation where the way we do things is important as what we do. Benefits may vary if you are joining on an FTC basis or on an orchestra conditions contract. EEO Statement We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. For reasonable adjustments or access requirements for the interview process or this role, please contact .
16/07/2026
Full time
JOB BAND: D CONTRACT TYPE: Permanent, Full-time DEPARTMENT: BBC Media Technology LOCATION: Salford PROPOSED SALARY RANGE: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE The Senior AI Engineer (Gen AI) will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently. The role will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams to build the data pipelines and technical solutions that enable AI projects to move effectively through piloting to successful handover to the business for scaling. WHY JOIN THE TEAM These roles will sit within BBC Media Technology and be embedded within the BBC's Strategy and Transformation team, focusing on Gen AI transformation. The Generative AI Team helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC's public service mission. The team's activities include enabling adoption of AI tools across the organisation; leading innovation and transformation work; and leading the BBC's engagement on the wider AI issues that shape our operating environment. The work we do makes the most of AI to deliver value for the BBC's teams and audiences. The challenges are new and exciting, and you'll have real influence over how one of the world's most trusted public broadcasters adopts AI in a way that is practical, responsible and true to its values. YOUR KEY RESPONSIBILITIES AND IMPACT Help evaluate AI and automation capabilities, both existing and emerging, using data and evidence to inform decisions about the most appropriate solutions for BBC contexts. Design and develop data pipelines, technical components and supporting capabilities that enable the evaluation and adoption of agentic and AI automation tooling. Work with colleagues across the team to design AI, agentic and automation solutions that address clearly defined operational or domain-specific problems. Build secure, resilient and maintainable data engineering solutions that support experimentation as well as more scalable use where appropriate. Collaborate closely with domain experts, data scientists, analysts, researchers, designers and project management teams to translate requirements into valuable solutions. Contribute to good engineering practice across the team, supporting high standards in data quality, governance, documentation and continuous improvement. Ensure work is carried out in line with the BBC's organisational values, security requirements and responsible approach to AI adoption. YOUR SKILLS AND EXPERIENCE Experience with designing, delivering LLM-based workflows or applications including pipelines, models and platform components. Strong engineering practices including proficiency in Python and demonstrable use of AI assisted development tools to improve code quality and delivery pace. Hands on experience with: Cloud platforms and infrastructure (AWS preferred) - including Infrastructure as Code Container and orchestration tools (e.g. Docker, Kubernetes) Experience of working with multidisciplinary teams to understand business or user problems and translate them into valuable solutions. Ability to evaluate new tools or technologies critically, using evidence and sound judgement to assess their effectiveness and suitability. Familiarity with API development frameworks (FastAPI or equivalent). Experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large organisations. Sound understanding of data governance, security and quality considerations, with the ability to apply these appropriately in innovative or experimental contexts. A strong academic background or research credentials in data or AI engineering or a related discipline. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Benefits Fair pay and flexible benefits including a competitive salary package, a flexible 35 hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values based organisation where the way we do things is important as what we do. Benefits may vary if you are joining on an FTC basis or on an orchestra conditions contract. EEO Statement We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. For reasonable adjustments or access requirements for the interview process or this role, please contact .
About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior UX Designer I, you will lead the design strategy for a product or business line, ensuring solutions are grounded in user needs and supported by data. You will collaborate with cross functional teams to shape innovative, user centered experiences while mentoring other designers and influencing product direction. Responsibilities Lead the design strategy for a business or product line Demonstrate a solid understanding of customer use cases Rally cross functional teams around customer needs Advocate for customers with the agile team and inspire curiosity about user insights Involve customers in product innovation to deliver value and growth Apply mastery of user centered design processes Work with UX Researchers to understand user needs and proactively use insights Use data and analytics to establish key metrics and inform design decisions Requirements Take ownership of personal development and career growth Initiate regular conversations with manager, coach or mentor regarding self development Ask effective questions and gather insights from multiple sources to solve problems Identify and analyze problems, proposing practical solutions Develop ideas to improve processes or products and prepare implementation plans Communicate clearly and provide direction to others Encourage collaboration and cooperation across teams Build strong working relationships and treat all individuals with respect Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1 . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
16/07/2026
Full time
About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior UX Designer I, you will lead the design strategy for a product or business line, ensuring solutions are grounded in user needs and supported by data. You will collaborate with cross functional teams to shape innovative, user centered experiences while mentoring other designers and influencing product direction. Responsibilities Lead the design strategy for a business or product line Demonstrate a solid understanding of customer use cases Rally cross functional teams around customer needs Advocate for customers with the agile team and inspire curiosity about user insights Involve customers in product innovation to deliver value and growth Apply mastery of user centered design processes Work with UX Researchers to understand user needs and proactively use insights Use data and analytics to establish key metrics and inform design decisions Requirements Take ownership of personal development and career growth Initiate regular conversations with manager, coach or mentor regarding self development Ask effective questions and gather insights from multiple sources to solve problems Identify and analyze problems, proposing practical solutions Develop ideas to improve processes or products and prepare implementation plans Communicate clearly and provide direction to others Encourage collaboration and cooperation across teams Build strong working relationships and treat all individuals with respect Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1 . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE) Job responsibilities Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps. Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges. Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems. Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts with applied Full stack development experience. Practical experience in Infrastructure as Code development, ideally using Terraform. Hands on practical experience in system design, application development, testing, and ensuring operational stability. Advanced proficiency in one or more programming languages, with a strong focus on Python. Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods. Demonstrated experience leading effective use of approved AI assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC). Deep understanding of agile methodologies and basic proficiency in architectural frameworks. Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks. Self motivated and proactive, with a strong ability to identify issues and challenge the status quo. Demonstrates initiative in learning and adapting to new technologies and methodologies. Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers Proven problem solving skills with a focus on innovation and continuous improvement. Excellent communication and collaboration skills to work effectively within cross functional teams.
16/07/2026
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE) Job responsibilities Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps. Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges. Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems. Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts with applied Full stack development experience. Practical experience in Infrastructure as Code development, ideally using Terraform. Hands on practical experience in system design, application development, testing, and ensuring operational stability. Advanced proficiency in one or more programming languages, with a strong focus on Python. Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods. Demonstrated experience leading effective use of approved AI assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC). Deep understanding of agile methodologies and basic proficiency in architectural frameworks. Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks. Self motivated and proactive, with a strong ability to identify issues and challenge the status quo. Demonstrates initiative in learning and adapting to new technologies and methodologies. Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers Proven problem solving skills with a focus on innovation and continuous improvement. Excellent communication and collaboration skills to work effectively within cross functional teams.
The Opportunity We're seeking a passionate Data Scientist to own the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and champion and actively contribute to the growth of the discipline, enabling the ongoing growth of the data science capability. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. At a certified Great Place to Work you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. About Us Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. Key Accountabilities and Responsibilities Senior Data Scientists enable the design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes: Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues. Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs. Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice. Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured. Proactively identify and help mitigate technical risks, issues, assumptions and dependencies. Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level. Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Requirements Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to provide commercially robust estimates of development activities. Experience providing practitioner guidance to junior colleagues and peers. Understanding of how to operationalise and deploy a Data Science solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple teams and projects. Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow. Understanding of different databases (Relational and NoSQL) and optimising queries for effective data manipulation. A master's degree or PhD in a STEM field. Personal Qualities You are hands on, working within a team to solve complex software and feature problems. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on accuracy. Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business. Able to collaborate with other areas of the business to solve problems. Able to quickly learn and adapt to new technologies. Benefits Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: InformedACADEMY - We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Salary Sacrifice scheme Qualifying period applies Culture We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian. We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times. We're a team of passionate problem solvers. We take pride in helping our clients accelerate and de risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important. Our workplace culture reflectshow we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. We focus both on technical skills and equally importantly, on the cultural fit of prospective new colleagues. Our success relies on fostering an environment where creativity and collaboration produces great outcomes for our people, our clients, and our partners.
15/07/2026
Full time
The Opportunity We're seeking a passionate Data Scientist to own the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and champion and actively contribute to the growth of the discipline, enabling the ongoing growth of the data science capability. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. At a certified Great Place to Work you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. About Us Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. Key Accountabilities and Responsibilities Senior Data Scientists enable the design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes: Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues. Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs. Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice. Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured. Proactively identify and help mitigate technical risks, issues, assumptions and dependencies. Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level. Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Requirements Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to provide commercially robust estimates of development activities. Experience providing practitioner guidance to junior colleagues and peers. Understanding of how to operationalise and deploy a Data Science solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple teams and projects. Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow. Understanding of different databases (Relational and NoSQL) and optimising queries for effective data manipulation. A master's degree or PhD in a STEM field. Personal Qualities You are hands on, working within a team to solve complex software and feature problems. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on accuracy. Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business. Able to collaborate with other areas of the business to solve problems. Able to quickly learn and adapt to new technologies. Benefits Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: InformedACADEMY - We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Salary Sacrifice scheme Qualifying period applies Culture We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian. We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times. We're a team of passionate problem solvers. We take pride in helping our clients accelerate and de risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important. Our workplace culture reflectshow we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. We focus both on technical skills and equally importantly, on the cultural fit of prospective new colleagues. Our success relies on fostering an environment where creativity and collaboration produces great outcomes for our people, our clients, and our partners.
Lead Data ScientistSkip to main contentThis site uses cookies to create a better experience for you. Some of these cookies are set automatically because they're necessary for the site to perform. Other cookies are used for functional, performance, and targeting purposes to enhance your experience by personalizing content and ads, enabling third party content and features, and enabling us to analyze how this site is used. To learn more or to manage cookies at any time, select the Cookie Settings button.By clicking 'I Accept', you are agreeing to our use of functional, performance and targeting cookies. Data Scientist page is loaded Lead Data ScientistApplylocations: Peterborough, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Job Description Job Title: Lead Data Scientist Salary: £ 66,079 - 82,599 dependant on experience Location: Peterborough On -Site 5 Days per week Benefits: 25 days annual leave plus 8 Bank Holidays Up to 18% bonus Contributory pension scheme - Caterpillar will double the employee's contribution up to 10% Contributory share scheme - Caterpillar will match 50% of the employee's contribution. Optional flexible benefits including access to health and dental care plans, EV car lease, holiday purchase. About E+ES Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 100-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe. Caterpillar's Electrification & Energy Solutions (E+ES) Division will focus on delivering advanced electrified power train, zero-emissions products/technologies, and the solutions and services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for ePowertrain solutions across industries. We are looking for top talent to build and scale the next generation of technologies, products and services to help our customers build a better-more sustainable-world. We need self-motivated, intelligent and team-oriented individuals to make our plans a reality. Individuals with high emotional intelligence, humility and openness to discovery will thrive in the teams we are building. The Opportunity As a Data Scientist, you will be an integral part of our dedicated analytics team, focused on supporting the development of data-driven insights and tools that help Caterpillar and its customers navigate the energy transition.You will work with a range of stakeholders, including Business Development, Marketing, and Engineering teams, to analyse machine and operational data and contribute to the development of customer-focused analytics solutions.This role provides an opportunity to apply data science skills to real-world challenges such as machine electrification, total cost of ownership (TCO), and operational optimisation. You will support the development of analytical models and tools that inform business decisions and enhance customer understanding.You will also benefit from exposure to Caterpillar's global centres of excellence, with opportunities to collaborate and learn in areas such as DevOps, cloud platforms, containerisation, and emerging technologies including Generative AI. This role offers strong development opportunities, enabling you to build both technical expertise and a broader understanding of how data science is applied across the organisation. What will you do Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What you have Skills Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Knowledge of Experience in a Data Scientist or similar analytical role (or strong relevant academic experience). Good foundation in statistical analysis and data science techniques. Proficiency in Python and common data science libraries (NumPy, Pandas). Experience working with structured datasets; exposure to time-series or operational data is beneficial. Basic understanding of APIs or experience working with multiple data sources. Experience with cloud-based data platforms or analytics environments (e.g. AWS, Snowflake) is desirable. Strong problem-solving skills and a willingness to learn. Good communication skills, with the ability to explain technical concepts clearly. Top candidates will also have Experience working in a team environment with cross-functional stakeholders. Interest in machine analytics, electrification, or energy systems. Experience creating data visualisations or dashboards. Familiarity with tools such as Jupyter Notebooks or similar environments. A proactive mindset and eagerness to develop new skills. Additional information The posting closes at 12am on 17th July 2026 About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting. I
14/07/2026
Full time
Lead Data ScientistSkip to main contentThis site uses cookies to create a better experience for you. Some of these cookies are set automatically because they're necessary for the site to perform. Other cookies are used for functional, performance, and targeting purposes to enhance your experience by personalizing content and ads, enabling third party content and features, and enabling us to analyze how this site is used. To learn more or to manage cookies at any time, select the Cookie Settings button.By clicking 'I Accept', you are agreeing to our use of functional, performance and targeting cookies. Data Scientist page is loaded Lead Data ScientistApplylocations: Peterborough, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Job Description Job Title: Lead Data Scientist Salary: £ 66,079 - 82,599 dependant on experience Location: Peterborough On -Site 5 Days per week Benefits: 25 days annual leave plus 8 Bank Holidays Up to 18% bonus Contributory pension scheme - Caterpillar will double the employee's contribution up to 10% Contributory share scheme - Caterpillar will match 50% of the employee's contribution. Optional flexible benefits including access to health and dental care plans, EV car lease, holiday purchase. About E+ES Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 100-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe. Caterpillar's Electrification & Energy Solutions (E+ES) Division will focus on delivering advanced electrified power train, zero-emissions products/technologies, and the solutions and services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for ePowertrain solutions across industries. We are looking for top talent to build and scale the next generation of technologies, products and services to help our customers build a better-more sustainable-world. We need self-motivated, intelligent and team-oriented individuals to make our plans a reality. Individuals with high emotional intelligence, humility and openness to discovery will thrive in the teams we are building. The Opportunity As a Data Scientist, you will be an integral part of our dedicated analytics team, focused on supporting the development of data-driven insights and tools that help Caterpillar and its customers navigate the energy transition.You will work with a range of stakeholders, including Business Development, Marketing, and Engineering teams, to analyse machine and operational data and contribute to the development of customer-focused analytics solutions.This role provides an opportunity to apply data science skills to real-world challenges such as machine electrification, total cost of ownership (TCO), and operational optimisation. You will support the development of analytical models and tools that inform business decisions and enhance customer understanding.You will also benefit from exposure to Caterpillar's global centres of excellence, with opportunities to collaborate and learn in areas such as DevOps, cloud platforms, containerisation, and emerging technologies including Generative AI. This role offers strong development opportunities, enabling you to build both technical expertise and a broader understanding of how data science is applied across the organisation. What will you do Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What you have Skills Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Knowledge of Experience in a Data Scientist or similar analytical role (or strong relevant academic experience). Good foundation in statistical analysis and data science techniques. Proficiency in Python and common data science libraries (NumPy, Pandas). Experience working with structured datasets; exposure to time-series or operational data is beneficial. Basic understanding of APIs or experience working with multiple data sources. Experience with cloud-based data platforms or analytics environments (e.g. AWS, Snowflake) is desirable. Strong problem-solving skills and a willingness to learn. Good communication skills, with the ability to explain technical concepts clearly. Top candidates will also have Experience working in a team environment with cross-functional stakeholders. Interest in machine analytics, electrification, or energy systems. Experience creating data visualisations or dashboards. Familiarity with tools such as Jupyter Notebooks or similar environments. A proactive mindset and eagerness to develop new skills. Additional information The posting closes at 12am on 17th July 2026 About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting. I
Job Overview Senior Data Scientist & Machine Learning Researcher - Gloucester, Manchester Position Type: Onsite Benefits Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work among others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave 37hr working week, with early 1.30pm finish on Friday Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role Up to 5 paid days volunteering each year Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team What You Will Do Raytheon UK has a permanent opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance Scope, design, and deliver data centric solutions while working collaboratively across disciplines Undertake research and applied AI/ML tasks on both customer and internal research projects Generate ideas for new research directions and provide technical leadership in small project groups Mentor more junior team members within their project team and the wider SRG Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch) Track record of delivering ML solutions to customers and internal stakeholders Deep understanding of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to pursue research and development beyond existing literature Experience training and developing AI models including Large Language Models Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications Experience mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research Experience using robust ML pipelines, appropriate version control and environment management (e.g., venvs or Docker) Working knowledge of Linux systems, using basic command-line functionality (e.g., AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience deploying AI models in a scalable way for external users Experience working in Cloud, preferably AWS but also GCP or Azure Research publications in peer reviewed journals Experience writing technical project proposals Equal Employment Opportunity RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
14/07/2026
Full time
Job Overview Senior Data Scientist & Machine Learning Researcher - Gloucester, Manchester Position Type: Onsite Benefits Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work among others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave 37hr working week, with early 1.30pm finish on Friday Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role Up to 5 paid days volunteering each year Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team What You Will Do Raytheon UK has a permanent opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance Scope, design, and deliver data centric solutions while working collaboratively across disciplines Undertake research and applied AI/ML tasks on both customer and internal research projects Generate ideas for new research directions and provide technical leadership in small project groups Mentor more junior team members within their project team and the wider SRG Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch) Track record of delivering ML solutions to customers and internal stakeholders Deep understanding of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to pursue research and development beyond existing literature Experience training and developing AI models including Large Language Models Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications Experience mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research Experience using robust ML pipelines, appropriate version control and environment management (e.g., venvs or Docker) Working knowledge of Linux systems, using basic command-line functionality (e.g., AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience deploying AI models in a scalable way for external users Experience working in Cloud, preferably AWS but also GCP or Azure Research publications in peer reviewed journals Experience writing technical project proposals Equal Employment Opportunity RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
12/07/2026
Full time
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a fair and precise way. Last year we delivered over 6 million online candidate assessments, helping Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state of the art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. We are seeking an exceptional Software Development Engineer to join our Lead Generation and Detection Services (LEGENDS) organization, where we're transforming the future of recruiting through innovative technology solutions. This role offers the exciting opportunity to work with a team driving the evolution of our existing services and pioneering new AI/ML powered recruiting products. The team focuses on foundational data about the job ecosystem within Amazon. We own a knowledge graph of key attributes used to power ML systems across the organization. You will work on systems that scale across the entire recruiting experience and work closely with scientists to deliver world class ML solutions. Key Job Responsibilities We are looking for a software engineer who has strong technical abilities, a focus on the customer experience, great teamwork and communication skills, and a motivation to achieve results. You will work alongside applied and research scientists solving complex machine learning problems. Familiarity with Machine Learning lifecycle management, such as model training, validation, debugging tools, and analysis techniques would be ideal. A Day in the Life Your daily activities will range from writing code, reviewing requirements with the product team, or reviewing your peers' code. You'll work closely with product, scientists, and engineers assigned to a shared project focused on delivering value to our customers. About the Team The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI driven solutions to enable fair and efficient talent acquisition processes across Amazon. Our work encompasses capabilities across the entire talent acquisition lifecycle, including role creation, recruitment strategy, sourcing, candidate evaluation, and talent deployment. The focus is on utilizing state of the art solutions using Deep Learning, Generative AI, and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer term workforce planning for corporate roles. Basic Qualifications Experience (non internship) in professional software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Preferred Qualifications Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
12/07/2026
Full time
Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a fair and precise way. Last year we delivered over 6 million online candidate assessments, helping Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state of the art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. We are seeking an exceptional Software Development Engineer to join our Lead Generation and Detection Services (LEGENDS) organization, where we're transforming the future of recruiting through innovative technology solutions. This role offers the exciting opportunity to work with a team driving the evolution of our existing services and pioneering new AI/ML powered recruiting products. The team focuses on foundational data about the job ecosystem within Amazon. We own a knowledge graph of key attributes used to power ML systems across the organization. You will work on systems that scale across the entire recruiting experience and work closely with scientists to deliver world class ML solutions. Key Job Responsibilities We are looking for a software engineer who has strong technical abilities, a focus on the customer experience, great teamwork and communication skills, and a motivation to achieve results. You will work alongside applied and research scientists solving complex machine learning problems. Familiarity with Machine Learning lifecycle management, such as model training, validation, debugging tools, and analysis techniques would be ideal. A Day in the Life Your daily activities will range from writing code, reviewing requirements with the product team, or reviewing your peers' code. You'll work closely with product, scientists, and engineers assigned to a shared project focused on delivering value to our customers. About the Team The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI driven solutions to enable fair and efficient talent acquisition processes across Amazon. Our work encompasses capabilities across the entire talent acquisition lifecycle, including role creation, recruitment strategy, sourcing, candidate evaluation, and talent deployment. The focus is on utilizing state of the art solutions using Deep Learning, Generative AI, and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer term workforce planning for corporate roles. Basic Qualifications Experience (non internship) in professional software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Preferred Qualifications Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
# Software Engineer III, Full Stack, Publisher Inventoryat Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Software Engineer III, Full Stack, Publisher Inventory4h agoG Software Engineer III, Full Stack, Publisher InventoryGoogle00Software EngineeringFull-timeLondon, UKApply Job Job DescriptionGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.ResponsibilitiesDesign, develop, and maintain clean, scalable products for developer-facing monetization platforms and ad configuration interfaces. Build automated runtime solutions and event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage Google's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering partners to deliver seamless end-to-end features. Write robust, well-tested, and high-performance code, ensuring high quality and reliability across our platform. Skills Required Kotlin C++ TypeScript Dart Angular Java APIs SDKs LLM APIs Generative AI Tags:UKLondonAngular DeveloperFlutter DeveloperShare Job:Application planning What to evaluate before applying Visa and relocation signals Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context Google has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening.Google profile Interview preparation Experience signal: Mid level experience. Minimum 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity Prepare examples for: Kotlin, C++, TypeScript, Dart, Angular. Compare similar roles before applying.United Kingdom jobsSkilled Worker Visa jobsUnited Kingdom salary guideSalary calculatorRelocation calculatorGoogle sponsorship jobs Get roles like Software Engineer III, Full Stack, Publisher InventoryReceive verified Software Engineering jobs with visa and relocation signals. Explore related hubsCountry hubUnited Kingdom JobsCompany pageGoogle JobsSalary pageSoftware Engineer SalaryVisa pageSkilled Worker Visa JobsCountry guideUnited Kingdom Relocation GuideCompany directoryVisa Sponsoring CompaniesDatasetVisa Jobs Index Job application FAQDoes this Software Engineer III, Full Stack, Publisher Inventory role at Google offer visa sponsorship?: Check the job description and apply link for relocation or sponsorship details for this Google role.How do I apply for Software Engineer III, Full Stack, Publisher Inventory at Google?: Use the direct apply button on this page to reach the employer application flow without a middleman.Is this Google job verified on SoftwareCareers?: Yes. Listings are manually reviewed for employer authenticity before publication on SoftwareCareers. Related JobsMore visa sponsored jobs in UKG Software Engineer III, Site Reliability Engineering, Traffic Network Load BalancingGoogle-1d agoLondon, UKFull-time2DetailsV Software Engineer, ObservabilityVercel-2d agoHybrid - London, UKFull-time5DetailsD Research Scientist, Agent Post-TrainingDeepMind-2d agoLondon, UKFull-time1DetailsG Gameplay Programmer, Games, Inception, DeepMindGoogle-3d agoLondon, UKFull-time3DetailsG Partner Forward Deployed Engineer, Google Cloud (German, French)Google-4d agoLondon, UKFull-time3Details Job OverviewJob TitleSoftware Engineer III, Full Stack, Publisher InventoryJob TypeFull-timeCategorySoftware EngineeringExperienceMid level experience. Minimum 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity.
12/07/2026
Full time
# Software Engineer III, Full Stack, Publisher Inventoryat Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Software Engineer III, Full Stack, Publisher Inventory4h agoG Software Engineer III, Full Stack, Publisher InventoryGoogle00Software EngineeringFull-timeLondon, UKApply Job Job DescriptionGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.ResponsibilitiesDesign, develop, and maintain clean, scalable products for developer-facing monetization platforms and ad configuration interfaces. Build automated runtime solutions and event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage Google's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering partners to deliver seamless end-to-end features. Write robust, well-tested, and high-performance code, ensuring high quality and reliability across our platform. Skills Required Kotlin C++ TypeScript Dart Angular Java APIs SDKs LLM APIs Generative AI Tags:UKLondonAngular DeveloperFlutter DeveloperShare Job:Application planning What to evaluate before applying Visa and relocation signals Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context Google has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening.Google profile Interview preparation Experience signal: Mid level experience. Minimum 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity Prepare examples for: Kotlin, C++, TypeScript, Dart, Angular. Compare similar roles before applying.United Kingdom jobsSkilled Worker Visa jobsUnited Kingdom salary guideSalary calculatorRelocation calculatorGoogle sponsorship jobs Get roles like Software Engineer III, Full Stack, Publisher InventoryReceive verified Software Engineering jobs with visa and relocation signals. Explore related hubsCountry hubUnited Kingdom JobsCompany pageGoogle JobsSalary pageSoftware Engineer SalaryVisa pageSkilled Worker Visa JobsCountry guideUnited Kingdom Relocation GuideCompany directoryVisa Sponsoring CompaniesDatasetVisa Jobs Index Job application FAQDoes this Software Engineer III, Full Stack, Publisher Inventory role at Google offer visa sponsorship?: Check the job description and apply link for relocation or sponsorship details for this Google role.How do I apply for Software Engineer III, Full Stack, Publisher Inventory at Google?: Use the direct apply button on this page to reach the employer application flow without a middleman.Is this Google job verified on SoftwareCareers?: Yes. Listings are manually reviewed for employer authenticity before publication on SoftwareCareers. Related JobsMore visa sponsored jobs in UKG Software Engineer III, Site Reliability Engineering, Traffic Network Load BalancingGoogle-1d agoLondon, UKFull-time2DetailsV Software Engineer, ObservabilityVercel-2d agoHybrid - London, UKFull-time5DetailsD Research Scientist, Agent Post-TrainingDeepMind-2d agoLondon, UKFull-time1DetailsG Gameplay Programmer, Games, Inception, DeepMindGoogle-3d agoLondon, UKFull-time3DetailsG Partner Forward Deployed Engineer, Google Cloud (German, French)Google-4d agoLondon, UKFull-time3Details Job OverviewJob TitleSoftware Engineer III, Full Stack, Publisher InventoryJob TypeFull-timeCategorySoftware EngineeringExperienceMid level experience. Minimum 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity.
Senior Full Stack Developer - 6-month Fixed Term Contract Singer Instruments empower scientists in laboratories in over 60 countries to accelerate their research efforts on global challenges. We're looking for a Senior Full Stack Developer to take ownership of translating complex product discovery specifications into production grade, highly scalable features for our new AI SaaS platform. The Role Supported by a newly secured public funding grant, we are initiating an intensive engineering phase to transition a laboratory-validated technical imaging technology from a Proof of Concept (TRL 4) into a commercially viable TRL 7 multi tenant AI SaaS platform. The platform leverages advanced machine learning models to automate high precision feature detection, image normalisation, and automated data analysis. You will be responsible for designing, implementing, and deploying both the user facing client applications and the robust server side architectures for the SaaS platform. What you'll bring to our team (key contributions) You will take ownership of the end to end technical construction of the SaaS web application, translating complex product discovery specifications into production grade, highly scalable features. Design, develop, and maintain robust, scalable software solutions across the entire technology stack. Build and maintain secure RESTful APIs, manage database schemas, and optimise server side logic. Implement responsive, intuitive user interfaces and deliver a seamless user experience using modern frameworks. Lead code reviews, enforce best practices, and provide technical guidance and mentorship to junior members of the team. Work closely with Product & Project managers, UX/UI designers, and other engineers in an Agile environment. Who you are (essential skills & attributes) Proven experience building, scaling, and maintaining multi tenant SaaS platforms, including user subscription workflows and strict multi tenant data isolation. 5+ years of commercial full stack software engineering experience. Extensive, expert level experience with cloud platforms, specifically Amazon Web Services (AWS). You must be comfortable managing, scaling, and architecting systems using core services like AWS EC2, AWS Lambda, and related infrastructure. Strong proficiency in both Python and Node.js to build secure, scalable, and resilient server side components. Deep expertise in React and modern state management tools for highly interactive, intuitive user interfaces. Advanced experience designing schemas and optimising complex queries in relational databases common on AWS, particularly PostgreSQL or MySQL (ideally via Amazon RDS or Amazon Aurora). Experience using tools like Terraform, AWS CloudFormation, or AWS CDK to define and deploy infrastructure programmatically. Strong ability to work with third party vendors, external APIs, and strategic tech partners to smoothly integrate external systems, software components, or infrastructure tools. Familiarity with leveraging AI driven engineering tools (e.g., GitHub Copilot, Claude) to optimise development speed and team delivery. Extensive experience working within fast paced Agile delivery teams using frameworks such as Scrum/Kanban, and expert level proficiency with project management tools, specifically Jira and Confluence. Intelligent AI Integration: Hands on experience embedding AI capabilities directly into platform features to drive user efficiency, specifically: Building conversational chatbots and intelligent virtual assistants. Developing automated data analysis pipelines to surface business insights. Implementing predictive text, smart autocompletion, or generative content tools. Hands on experience building automated build, test, and deployment workflows using GitHub Actions, GitLab CI, or AWS CodePipeline. Knowledge of implementing secure authentication protocols and protecting against vulnerabilities. Understanding of data protection regulations such as GDPR and security frameworks like SOC 2. Experience setting up observability tools like Datadog, New Relic, or AWS CloudWatch to track system health and latency. Experience writing thorough automated tests using Jest, React Testing Library, Cypress, or Playwright. You will bring 5+ years of commercial full stack software engineering experience to the role. Crucially, while this outlines typical pathways, your unique journey matters more than just a qualification. Mandatory Grant Compliance & Eligibility To comply with the strict terms of our public funding body, all applicants must meet the following baseline criteria: Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements. Geographic Restriction: Every hour of work and line of code must be executed strictly on UK soil. Working from overseas is contractually prohibited.
11/07/2026
Full time
Senior Full Stack Developer - 6-month Fixed Term Contract Singer Instruments empower scientists in laboratories in over 60 countries to accelerate their research efforts on global challenges. We're looking for a Senior Full Stack Developer to take ownership of translating complex product discovery specifications into production grade, highly scalable features for our new AI SaaS platform. The Role Supported by a newly secured public funding grant, we are initiating an intensive engineering phase to transition a laboratory-validated technical imaging technology from a Proof of Concept (TRL 4) into a commercially viable TRL 7 multi tenant AI SaaS platform. The platform leverages advanced machine learning models to automate high precision feature detection, image normalisation, and automated data analysis. You will be responsible for designing, implementing, and deploying both the user facing client applications and the robust server side architectures for the SaaS platform. What you'll bring to our team (key contributions) You will take ownership of the end to end technical construction of the SaaS web application, translating complex product discovery specifications into production grade, highly scalable features. Design, develop, and maintain robust, scalable software solutions across the entire technology stack. Build and maintain secure RESTful APIs, manage database schemas, and optimise server side logic. Implement responsive, intuitive user interfaces and deliver a seamless user experience using modern frameworks. Lead code reviews, enforce best practices, and provide technical guidance and mentorship to junior members of the team. Work closely with Product & Project managers, UX/UI designers, and other engineers in an Agile environment. Who you are (essential skills & attributes) Proven experience building, scaling, and maintaining multi tenant SaaS platforms, including user subscription workflows and strict multi tenant data isolation. 5+ years of commercial full stack software engineering experience. Extensive, expert level experience with cloud platforms, specifically Amazon Web Services (AWS). You must be comfortable managing, scaling, and architecting systems using core services like AWS EC2, AWS Lambda, and related infrastructure. Strong proficiency in both Python and Node.js to build secure, scalable, and resilient server side components. Deep expertise in React and modern state management tools for highly interactive, intuitive user interfaces. Advanced experience designing schemas and optimising complex queries in relational databases common on AWS, particularly PostgreSQL or MySQL (ideally via Amazon RDS or Amazon Aurora). Experience using tools like Terraform, AWS CloudFormation, or AWS CDK to define and deploy infrastructure programmatically. Strong ability to work with third party vendors, external APIs, and strategic tech partners to smoothly integrate external systems, software components, or infrastructure tools. Familiarity with leveraging AI driven engineering tools (e.g., GitHub Copilot, Claude) to optimise development speed and team delivery. Extensive experience working within fast paced Agile delivery teams using frameworks such as Scrum/Kanban, and expert level proficiency with project management tools, specifically Jira and Confluence. Intelligent AI Integration: Hands on experience embedding AI capabilities directly into platform features to drive user efficiency, specifically: Building conversational chatbots and intelligent virtual assistants. Developing automated data analysis pipelines to surface business insights. Implementing predictive text, smart autocompletion, or generative content tools. Hands on experience building automated build, test, and deployment workflows using GitHub Actions, GitLab CI, or AWS CodePipeline. Knowledge of implementing secure authentication protocols and protecting against vulnerabilities. Understanding of data protection regulations such as GDPR and security frameworks like SOC 2. Experience setting up observability tools like Datadog, New Relic, or AWS CloudWatch to track system health and latency. Experience writing thorough automated tests using Jest, React Testing Library, Cypress, or Playwright. You will bring 5+ years of commercial full stack software engineering experience to the role. Crucially, while this outlines typical pathways, your unique journey matters more than just a qualification. Mandatory Grant Compliance & Eligibility To comply with the strict terms of our public funding body, all applicants must meet the following baseline criteria: Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements. Geographic Restriction: Every hour of work and line of code must be executed strictly on UK soil. Working from overseas is contractually prohibited.
Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering focused prototyping engine within a high impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof of concept (PoC) solutions - from new dataset pipelines and ML models to AI powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI assisted internal tools - including applications leveraging LLM APIs, embedding based search, and retrieval augmented generation (RAG) - to demonstrate near term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands on experience with pandas, scikit learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end to end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production readiness, with the discipline to define 'ship or kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade offs clearly to both technical peers and non technical stakeholders. Qualifications Desired Attributes: Exceptional problem solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over engineering early stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content rich or document heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague to colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
09/07/2026
Full time
Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering focused prototyping engine within a high impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof of concept (PoC) solutions - from new dataset pipelines and ML models to AI powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI assisted internal tools - including applications leveraging LLM APIs, embedding based search, and retrieval augmented generation (RAG) - to demonstrate near term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands on experience with pandas, scikit learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end to end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production readiness, with the discipline to define 'ship or kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade offs clearly to both technical peers and non technical stakeholders. Qualifications Desired Attributes: Exceptional problem solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over engineering early stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content rich or document heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague to colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
Guy's and St Thomas' NHS Foundation Trust Senior Clinical Data Scientist The closing date is 15 July 2026 This is an exciting opportunity to take a senior, hands on data science role within a new enterprise data science function. As a Senior Clinical Data Scientist, the post-holder owns the full health data science lifecycle from problem to solution, delivering pilots that aim to produce measurable improvements in clinical and operational KPIs. Main duties of the job Take individual delivery ownership of data science pilots across the full lifecycle - problem definition, diagnosis, solution design, experimentation, implementation support, and outcome measurement - working autonomously and accountable for movement in target KPIs Apply modern machine learning, statistical, causal inference, and experimental methods to clinical and operational problems, recognising that a model is one option among several, not the default Act as a domain expert, using a clinical background to frame real world clinical and operational problems and to validate that outputs are clinically and operationally meaningful Work with the data and software engineering team to productionise pilots and to monitor the impact and safety of deployed decision support tools Take the analytical lead on highly complex and contentious healthcare data, devising methods, setting data quality and performance KPIs, and making evidence based recommendations to stakeholders Engage and influence clinical, operational, and technical stakeholders, and support more junior analysts and data scientists through mentoring and capability building About us AI Centre for Value Based Healthcare The AI, Data & Digital Innovation directorate is made up of data and technology experts - based in GSTT but working closely as a team with KCH and KCL. The team forms part of the Artificial Intelligence Centre for Value Based Healthcare - a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across data engineering, data science & AI development, and software engineering. Programmes include region wide infrastructure delivery of cloud and federated platforms, multi modal Real World Data engineering, foundation model development, and development of different Language AI solutions. London / GSTT Snowflake Platform A secure data and research cloud platform that provides access to some of the broadest and deepest data in the NHS, including low latency patient level data flows from primary care, linked to Acute Trust data. The platform also supports data science and deployment of advanced analytics and machine learning solutions, including Language AI for unstructured data extraction. Job responsibilities Take individual delivery ownership of data science problems and pilots across the full lifecycle problem definition, diagnosis and exploration, solution design, experimentation, implementation support, and outcome measurement working autonomously and being accountable for movement in target clinical and operational KPIs. Develop analytic tools, models, and insights that support business planning, decision making, and service improvement across clinical and operational pathways, applying machine learning, statistical, causal inference, and experimental methods as appropriate to the problem. Evaluate and analyse highly complex and sometimes contentious healthcare data using tested and credible tools, applying robust problem solving to find and understand root causes of problems and to identify opportunities for improvement. Implement rapid Test and Learn cycles, starting small and scaling what works, and confirming benefit before scaling, iterating, or stopping. Determine and track key performance indicators to enable easy tracking of deliverables and outcomes, working collaboratively with clinical leads and operational teams. Track and evaluate changes, measuring impact and progress against agreed and robust improvement metrics, and embedding consideration of fairness and healthcare inequalities into impact evaluation. Produce written documentation for a wide range of audiences, including project reports, communications, and explanations of technical and complex issues; make recommendations and present findings at all levels, including to senior clinical and management audiences. Meet predefined objectives through autonomous working and the demonstration of a leadership style that is consistent with the Trust values. Stakeholder Management Develop and present complex healthcare data in a way that facilitates understanding and drives action among clinical, operational, and technical audiences Identify, engage, and work with all relevant stakeholders to build a platform for service change and to inform improvement and transformation strategies Mediate and advise in areas where there are differences of clinical and professional opinion, providing and explaining data that may support decision making Conduct end user research with clinical and operational teams to understand needs, set performance targets, and ensure solutions are responsive to real world requirements Design, facilitate, and lead workshops, stakeholder events, and project meetings with a wide range of clinical, technical, and operational stakeholders Manage, motivate, persuade, and influence multiple stakeholders and partners to ensure a shared purpose and that responsibilities are clear, agreed, and followed up in a timely manner. Technical Aspects Provide hands on expertise in data science and machine learning including statistical and predictive modelling, LLMs, causal inference, and custom workflows selecting best in class, fit for purpose methods for each problem Be responsible for devising and implementing methods for highly complex information collection, analysis, and presentation that meet the specification of the end user/client, including where data is difficult to obtain and interpret Be responsible for making informed, evidence based recommendations to clients and stakeholders, based on credible evidence including the analysis of highly complex data Work with the data and software engineering team to productionise pilots into the GSTT Snowflake platform, and to monitor the impact and safety of deployed decision support tools Use data driven presentations to challenge existing work practices and beliefs for varying audiences, including clinical leads and staff, directors, and service users Devise and provide specialist training in data science, analytical, and improvement methods for a range of audiences, and transfer skills via mentoring, peer coaching, and team development sessions Person Specification Background Clinical qualification (e.g. medicine, nursing, pharmacy) or clinical background, with an understanding of clinical and operational care pathways Strong healthcare / clinical domain knowledge, with the ability to frame real world clinical and operational problems for data science Degree in a data science, statistics, computer science, machine learning, health informatics, or related quantitative field (or equivalent experience) PhD in a data science related field Technical Hands on expertise in Python and SQL, and in modern machine learning and statistical methods, including causal inference techniques and experimental methods (e.g. A/B testing, stepped wedge designs) Experience of delivering across the data science lifecycle, from problem definition and experimentation through to implementation support and outcome measurement Experience delivering data science solutions in an industry setting Experience building and deploying solutions on cloud data platforms (e.g. Snowflake, Databricks) Experience working with LLMs and/or modern generative AI in applied settings General Excellent stakeholder engagement and communication skills, with the ability to translate between technical, clinical, and operational audiences Excellent project and delivery management skills Familiarity with agile and product methodologies for managing technical workstreams Track record of high impact research output and/or peer reviewed publication Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Address London Institute for Healthcare Engineering Contract Fixed term Duration 24 months Working pattern Full time,Part time Reference number 196-COF11184-NW Job locations London Institute for Healthcare Engineering
09/07/2026
Full time
Guy's and St Thomas' NHS Foundation Trust Senior Clinical Data Scientist The closing date is 15 July 2026 This is an exciting opportunity to take a senior, hands on data science role within a new enterprise data science function. As a Senior Clinical Data Scientist, the post-holder owns the full health data science lifecycle from problem to solution, delivering pilots that aim to produce measurable improvements in clinical and operational KPIs. Main duties of the job Take individual delivery ownership of data science pilots across the full lifecycle - problem definition, diagnosis, solution design, experimentation, implementation support, and outcome measurement - working autonomously and accountable for movement in target KPIs Apply modern machine learning, statistical, causal inference, and experimental methods to clinical and operational problems, recognising that a model is one option among several, not the default Act as a domain expert, using a clinical background to frame real world clinical and operational problems and to validate that outputs are clinically and operationally meaningful Work with the data and software engineering team to productionise pilots and to monitor the impact and safety of deployed decision support tools Take the analytical lead on highly complex and contentious healthcare data, devising methods, setting data quality and performance KPIs, and making evidence based recommendations to stakeholders Engage and influence clinical, operational, and technical stakeholders, and support more junior analysts and data scientists through mentoring and capability building About us AI Centre for Value Based Healthcare The AI, Data & Digital Innovation directorate is made up of data and technology experts - based in GSTT but working closely as a team with KCH and KCL. The team forms part of the Artificial Intelligence Centre for Value Based Healthcare - a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across data engineering, data science & AI development, and software engineering. Programmes include region wide infrastructure delivery of cloud and federated platforms, multi modal Real World Data engineering, foundation model development, and development of different Language AI solutions. London / GSTT Snowflake Platform A secure data and research cloud platform that provides access to some of the broadest and deepest data in the NHS, including low latency patient level data flows from primary care, linked to Acute Trust data. The platform also supports data science and deployment of advanced analytics and machine learning solutions, including Language AI for unstructured data extraction. Job responsibilities Take individual delivery ownership of data science problems and pilots across the full lifecycle problem definition, diagnosis and exploration, solution design, experimentation, implementation support, and outcome measurement working autonomously and being accountable for movement in target clinical and operational KPIs. Develop analytic tools, models, and insights that support business planning, decision making, and service improvement across clinical and operational pathways, applying machine learning, statistical, causal inference, and experimental methods as appropriate to the problem. Evaluate and analyse highly complex and sometimes contentious healthcare data using tested and credible tools, applying robust problem solving to find and understand root causes of problems and to identify opportunities for improvement. Implement rapid Test and Learn cycles, starting small and scaling what works, and confirming benefit before scaling, iterating, or stopping. Determine and track key performance indicators to enable easy tracking of deliverables and outcomes, working collaboratively with clinical leads and operational teams. Track and evaluate changes, measuring impact and progress against agreed and robust improvement metrics, and embedding consideration of fairness and healthcare inequalities into impact evaluation. Produce written documentation for a wide range of audiences, including project reports, communications, and explanations of technical and complex issues; make recommendations and present findings at all levels, including to senior clinical and management audiences. Meet predefined objectives through autonomous working and the demonstration of a leadership style that is consistent with the Trust values. Stakeholder Management Develop and present complex healthcare data in a way that facilitates understanding and drives action among clinical, operational, and technical audiences Identify, engage, and work with all relevant stakeholders to build a platform for service change and to inform improvement and transformation strategies Mediate and advise in areas where there are differences of clinical and professional opinion, providing and explaining data that may support decision making Conduct end user research with clinical and operational teams to understand needs, set performance targets, and ensure solutions are responsive to real world requirements Design, facilitate, and lead workshops, stakeholder events, and project meetings with a wide range of clinical, technical, and operational stakeholders Manage, motivate, persuade, and influence multiple stakeholders and partners to ensure a shared purpose and that responsibilities are clear, agreed, and followed up in a timely manner. Technical Aspects Provide hands on expertise in data science and machine learning including statistical and predictive modelling, LLMs, causal inference, and custom workflows selecting best in class, fit for purpose methods for each problem Be responsible for devising and implementing methods for highly complex information collection, analysis, and presentation that meet the specification of the end user/client, including where data is difficult to obtain and interpret Be responsible for making informed, evidence based recommendations to clients and stakeholders, based on credible evidence including the analysis of highly complex data Work with the data and software engineering team to productionise pilots into the GSTT Snowflake platform, and to monitor the impact and safety of deployed decision support tools Use data driven presentations to challenge existing work practices and beliefs for varying audiences, including clinical leads and staff, directors, and service users Devise and provide specialist training in data science, analytical, and improvement methods for a range of audiences, and transfer skills via mentoring, peer coaching, and team development sessions Person Specification Background Clinical qualification (e.g. medicine, nursing, pharmacy) or clinical background, with an understanding of clinical and operational care pathways Strong healthcare / clinical domain knowledge, with the ability to frame real world clinical and operational problems for data science Degree in a data science, statistics, computer science, machine learning, health informatics, or related quantitative field (or equivalent experience) PhD in a data science related field Technical Hands on expertise in Python and SQL, and in modern machine learning and statistical methods, including causal inference techniques and experimental methods (e.g. A/B testing, stepped wedge designs) Experience of delivering across the data science lifecycle, from problem definition and experimentation through to implementation support and outcome measurement Experience delivering data science solutions in an industry setting Experience building and deploying solutions on cloud data platforms (e.g. Snowflake, Databricks) Experience working with LLMs and/or modern generative AI in applied settings General Excellent stakeholder engagement and communication skills, with the ability to translate between technical, clinical, and operational audiences Excellent project and delivery management skills Familiarity with agile and product methodologies for managing technical workstreams Track record of high impact research output and/or peer reviewed publication Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Address London Institute for Healthcare Engineering Contract Fixed term Duration 24 months Working pattern Full time,Part time Reference number 196-COF11184-NW Job locations London Institute for Healthcare Engineering
Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build You'll own the system end-to-end, across its hardest surfaces: Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub-agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on-call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard-won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
08/07/2026
Full time
Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build You'll own the system end-to-end, across its hardest surfaces: Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub-agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on-call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard-won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Lead Software Engineer for AI - Vice President at JPMorgan Chase As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. EEO Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
08/07/2026
Full time
Lead Software Engineer for AI - Vice President at JPMorgan Chase As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. EEO Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Role DetailsSBU - InventCU - Business TechnologyGlobal Grade - BAbout UsAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.AI & Digital FactoryAs part of our evolution at AI & Digital Factory, we are increasingly helping clients to design and deliver AI-enabled products and services.This includes supporting organisations to:Identify and prioritise AI and data-driven opportunitiesEmbed automation and generative AI capabilities into digital platforms and architecturesDeliver more intelligent, scalable and insight-driven solutionsNavigate emerging considerations such as data, governance, and responsible use of AIOur Technical Business Analysts play a key role in this by bridging business needs with technology, architecture and data, ensuring solutions are robust, scalable and aligned to client outcomes.Your RoleAs a Technical Business Analyst Consultant, you will be joining the growing and exciting Digital Excellence community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products.Our Technical BAs work on client projects across multiple industries, driving technology projects that enhance operational efficiency, delight users, and deliver measurable business value. From fail-proof products that support critical national infrastructure and serve hundreds of thousands of users, to crafting innovative proof of concepts that test new ideas and technologies, our team is integral to every step of the process.You will play a crucial role in technical design and development, managing system integrations, databases, and infrastructure to ensure seamless back-end functionality. You will act as a bridge between business and IT, leveraging your expertise in software architecture and backend frameworks to shape technical features and requirements that meet client objectives and user needs. While not directly involved in software development, your role will bring both business insight and technical depth, ensuring that each solution is robust, scalable, and aligned with organisational needs and best practices.As a Technical Business Analyst you will:Translate business objectives and requirements into valuable technical features and user stories that will shape product development and technical deliveryLeverage your understanding of IT Delivery Frameworks and DevOps practices to facilitate CI/CD pipelines, ensuring smooth and efficient deliveryConduct system and data analysis to identify improvement areas and pain points to inform decision makingSupport the management of product roadmap, prioritisation, and backlog refinement, working collaboratively with product owners, developers, architects and QATsYour ProfileYou will bring below skills and experience:Experience in the technical design and development of technology-based productsExperience working with technical architecture and owning technical writingExperience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.)Willingness to work with database schemas and perform data manipulation tasks such as cleaning, transformation and aggregationAbility to facilitate end-to-end delivery, from research and solution design through to development, testing and releaseAbility to build, refine and prioritise an agile backlog for technical implementationAbility to adapt to different delivery methodologies such as Scrum, SAFe and WaterfallInterest in contributing to capability growth and community developmentAbility to operate in fast-paced environments with ambiguity and changing prioritiesIdeally, you would also have:Experience across Public Sector, Utilities, Financial Services, Consumer Products or RetailExperience supporting internal initiatives such as recruitment, client development, mentoring or trainingCertifications across Business Analysis, Agile Delivery, or technical domainsAwareness of emerging trends such as AI, automation and data-driven technology deliveryAwareness of emerging trends such as AI, automation and data-driven product developmentExposure to AI or Machine Learning use cases within digital or technology deliveryExperience working with or alongside data scientists, data engineers, or analytics teamsUnderstanding of how data underpins AI solutions, including data quality, pipelines or modelling conceptsExperience or interest in generative AI tools (e.g. copilots, automation, content or code generation)Familiarity with using AI tools to support analysis, documentation, or technical designAwareness of considerations such as AI ethics, governance, and responsible useWHAT YOU'LL LOVE ABOUT WORKING HERE?We are delighted to have received the "Glassdoor Best Places to work in the UK' accolade for 4 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value.You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies.Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes.Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed.We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. Team away days are always a chance to connect with the team, have fun and learn something new.We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.Need to KnowAt Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.CSRWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI . click apply for full job details
08/07/2026
Full time
Role DetailsSBU - InventCU - Business TechnologyGlobal Grade - BAbout UsAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.AI & Digital FactoryAs part of our evolution at AI & Digital Factory, we are increasingly helping clients to design and deliver AI-enabled products and services.This includes supporting organisations to:Identify and prioritise AI and data-driven opportunitiesEmbed automation and generative AI capabilities into digital platforms and architecturesDeliver more intelligent, scalable and insight-driven solutionsNavigate emerging considerations such as data, governance, and responsible use of AIOur Technical Business Analysts play a key role in this by bridging business needs with technology, architecture and data, ensuring solutions are robust, scalable and aligned to client outcomes.Your RoleAs a Technical Business Analyst Consultant, you will be joining the growing and exciting Digital Excellence community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products.Our Technical BAs work on client projects across multiple industries, driving technology projects that enhance operational efficiency, delight users, and deliver measurable business value. From fail-proof products that support critical national infrastructure and serve hundreds of thousands of users, to crafting innovative proof of concepts that test new ideas and technologies, our team is integral to every step of the process.You will play a crucial role in technical design and development, managing system integrations, databases, and infrastructure to ensure seamless back-end functionality. You will act as a bridge between business and IT, leveraging your expertise in software architecture and backend frameworks to shape technical features and requirements that meet client objectives and user needs. While not directly involved in software development, your role will bring both business insight and technical depth, ensuring that each solution is robust, scalable, and aligned with organisational needs and best practices.As a Technical Business Analyst you will:Translate business objectives and requirements into valuable technical features and user stories that will shape product development and technical deliveryLeverage your understanding of IT Delivery Frameworks and DevOps practices to facilitate CI/CD pipelines, ensuring smooth and efficient deliveryConduct system and data analysis to identify improvement areas and pain points to inform decision makingSupport the management of product roadmap, prioritisation, and backlog refinement, working collaboratively with product owners, developers, architects and QATsYour ProfileYou will bring below skills and experience:Experience in the technical design and development of technology-based productsExperience working with technical architecture and owning technical writingExperience in data analysis, data modelling, and data visualisation tools (e.g. SQL, Excel, Tableau, PowerBI etc.)Willingness to work with database schemas and perform data manipulation tasks such as cleaning, transformation and aggregationAbility to facilitate end-to-end delivery, from research and solution design through to development, testing and releaseAbility to build, refine and prioritise an agile backlog for technical implementationAbility to adapt to different delivery methodologies such as Scrum, SAFe and WaterfallInterest in contributing to capability growth and community developmentAbility to operate in fast-paced environments with ambiguity and changing prioritiesIdeally, you would also have:Experience across Public Sector, Utilities, Financial Services, Consumer Products or RetailExperience supporting internal initiatives such as recruitment, client development, mentoring or trainingCertifications across Business Analysis, Agile Delivery, or technical domainsAwareness of emerging trends such as AI, automation and data-driven technology deliveryAwareness of emerging trends such as AI, automation and data-driven product developmentExposure to AI or Machine Learning use cases within digital or technology deliveryExperience working with or alongside data scientists, data engineers, or analytics teamsUnderstanding of how data underpins AI solutions, including data quality, pipelines or modelling conceptsExperience or interest in generative AI tools (e.g. copilots, automation, content or code generation)Familiarity with using AI tools to support analysis, documentation, or technical designAwareness of considerations such as AI ethics, governance, and responsible useWHAT YOU'LL LOVE ABOUT WORKING HERE?We are delighted to have received the "Glassdoor Best Places to work in the UK' accolade for 4 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value.You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies.Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes.Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed.We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. Team away days are always a chance to connect with the team, have fun and learn something new.We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.There are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.Need to KnowAt Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.CSRWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI . click apply for full job details
