We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salo We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salo We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Join Barclays as a Prime Risk Senior Developer, where you will be part of the Liquid Financing Technology team. The team is currently investing in building a modern, cutting-edge Client Risk Management platform-a unified, cross-asset risk management solution that delivers real-time analytics, workflows, and reporting for front-office users. This platform will enable intraday exposure monitoring, margin and limits forecasting, and advanced stress-testing capabilities. To be successful, you should have: Bachelor's or master's degree from an accredited college or university in Financial Engineering, Math, Computer Science, or related field. 5+ years of software development experience in a front office environment with hands on across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning and software design skills. Deep understanding of SDLC practices. Some other highly valued skills may include: Background in Quantitative Finance with exposure to Risk & PnL Modelling, preferably in Prime Brokerage, Securities Lending, Cash & Synthetic Financing. Working knowledge on building and integrating AI/ML models into production systems is a plus. Exposure to other OO languages (Java/C#) is a plus. You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Mar 02, 2026
Full time
Join Barclays as a Prime Risk Senior Developer, where you will be part of the Liquid Financing Technology team. The team is currently investing in building a modern, cutting-edge Client Risk Management platform-a unified, cross-asset risk management solution that delivers real-time analytics, workflows, and reporting for front-office users. This platform will enable intraday exposure monitoring, margin and limits forecasting, and advanced stress-testing capabilities. To be successful, you should have: Bachelor's or master's degree from an accredited college or university in Financial Engineering, Math, Computer Science, or related field. 5+ years of software development experience in a front office environment with hands on across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning and software design skills. Deep understanding of SDLC practices. Some other highly valued skills may include: Background in Quantitative Finance with exposure to Risk & PnL Modelling, preferably in Prime Brokerage, Securities Lending, Cash & Synthetic Financing. Working knowledge on building and integrating AI/ML models into production systems is a plus. Exposure to other OO languages (Java/C#) is a plus. You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Mar 02, 2026
Full time
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Performance Information Technical Lead - Power BI / Microsoft Fabric Client: EDF Location: Bristol (Hybrid - on-site days TBC) Contract: Until 31/12/2026 Rate: £500-£579 per day (Inside IR35) Security Clearance: BPSS required Overview EDF is seeking a Performance Information Technical Lead to own the governance, architecture, and operational model of its Power BI and Microsoft Fabric estate within the HPC programme. This is a senior technical leadership role responsible for transitioning a growing, business-led reporting environment into a secure, enterprise-governed analytics platform aligned to Information Design Authority (IDA), security, and regulatory standards. You will act as the technical authority for the tenant, defining governance frameworks, lifecycle processes, and platform standards while optimising licensing, capacity, and operational resilience. Key Responsibilities Governance Framework Design and implement the enterprise Power BI governance model, including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear, accessible governance documentation for business stakeholders Platform Administration & Technical Oversight Act as technical authority for the Power BI / Fabric tenant Define and oversee: Workspace provisioning and ownership model Capacity management and optimisation Monitoring, audit logging, and usage analytics Gateway architecture and connectivity controls Service principals and credential management Standardise use of enterprise tooling (e.g. DAX Studio, Tabular Editor, ALM Toolkit) Rationalise and optimise the existing estate to improve resilience, performance, and cost efficiency Operating Model & Lifecycle Management Define RACI across business owners, data owners, developers, Enterprise IT, and Information Management Establish lifecycle processes for onboarding, change control, certification, and decommissioning Define support tiers and service boundaries for analytics artefacts Commercial & Licensing Optimisation Review and optimise Pro, PPU, and Fabric capacity licensing models Align platform capacity with organisational demand Deliver transparent reporting on usage and cost drivers Support financially sustainable scaling of analytics capability Stakeholder Engagement Partner with Enterprise IT on platform configuration and access controls Engage business stakeholders to embed governance standards and clarify responsibilities Present recommendations to architecture and IDA governance forums Act as a trusted advisor on enterprise analytics platform strategy Essential Technical Experience Extensive tenant-level administration of Power BI Strong working knowledge of Microsoft Fabric architecture Experience managing Premium and/or Fabric capacities Advanced DAX and enterprise semantic modelling (star schema) Performance tuning and optimisation of semantic models Advanced Power Query diagnostics and optimisation SQL optimisation for analytics workloads Working knowledge of Python in analytics contexts (e.g. Fabric notebooks, Databricks) Strong understanding of: Entra ID / Azure AD security groups RBAC models Deployment pipelines Power BI REST APIs and automation Data gateway architecture Audit logging and monitoring Proven experience designing enterprise analytics governance frameworks Governance & Platform Maturity Experience implementing or maturing analytics governance in a federated environment Experience operating within structured architecture governance (e.g. IDA) Track record of improving ownership, accountability, and lifecycle management for data platforms Commercial & Strategic Experience optimising licensing and capacity models Ability to align technical controls with commercial efficiency Experience producing platform roadmaps or business cases Qualifications Essential: Microsoft Certified: Fabric Analytics Engineer Associate (or equivalent advanced Power BI certification) Degree (or equivalent experience) in Data, Engineering, Computer Science, or similar Desirable: PL-300 (Power BI Data Analyst) Azure Administrator and/or Security certifications Experience in regulated or safety-critical environments Experience delivering enterprise-scale analytics transformation Personal Profile Self-starter with strong personal accountability Structured, methodical, and pragmatic Comfortable operating in complex, federated organisations Strong communicator able to produce policy and technical guidance Confident influencing senior stakeholders and technical teams JBRP1_UKTJ
Mar 02, 2026
Full time
Performance Information Technical Lead - Power BI / Microsoft Fabric Client: EDF Location: Bristol (Hybrid - on-site days TBC) Contract: Until 31/12/2026 Rate: £500-£579 per day (Inside IR35) Security Clearance: BPSS required Overview EDF is seeking a Performance Information Technical Lead to own the governance, architecture, and operational model of its Power BI and Microsoft Fabric estate within the HPC programme. This is a senior technical leadership role responsible for transitioning a growing, business-led reporting environment into a secure, enterprise-governed analytics platform aligned to Information Design Authority (IDA), security, and regulatory standards. You will act as the technical authority for the tenant, defining governance frameworks, lifecycle processes, and platform standards while optimising licensing, capacity, and operational resilience. Key Responsibilities Governance Framework Design and implement the enterprise Power BI governance model, including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear, accessible governance documentation for business stakeholders Platform Administration & Technical Oversight Act as technical authority for the Power BI / Fabric tenant Define and oversee: Workspace provisioning and ownership model Capacity management and optimisation Monitoring, audit logging, and usage analytics Gateway architecture and connectivity controls Service principals and credential management Standardise use of enterprise tooling (e.g. DAX Studio, Tabular Editor, ALM Toolkit) Rationalise and optimise the existing estate to improve resilience, performance, and cost efficiency Operating Model & Lifecycle Management Define RACI across business owners, data owners, developers, Enterprise IT, and Information Management Establish lifecycle processes for onboarding, change control, certification, and decommissioning Define support tiers and service boundaries for analytics artefacts Commercial & Licensing Optimisation Review and optimise Pro, PPU, and Fabric capacity licensing models Align platform capacity with organisational demand Deliver transparent reporting on usage and cost drivers Support financially sustainable scaling of analytics capability Stakeholder Engagement Partner with Enterprise IT on platform configuration and access controls Engage business stakeholders to embed governance standards and clarify responsibilities Present recommendations to architecture and IDA governance forums Act as a trusted advisor on enterprise analytics platform strategy Essential Technical Experience Extensive tenant-level administration of Power BI Strong working knowledge of Microsoft Fabric architecture Experience managing Premium and/or Fabric capacities Advanced DAX and enterprise semantic modelling (star schema) Performance tuning and optimisation of semantic models Advanced Power Query diagnostics and optimisation SQL optimisation for analytics workloads Working knowledge of Python in analytics contexts (e.g. Fabric notebooks, Databricks) Strong understanding of: Entra ID / Azure AD security groups RBAC models Deployment pipelines Power BI REST APIs and automation Data gateway architecture Audit logging and monitoring Proven experience designing enterprise analytics governance frameworks Governance & Platform Maturity Experience implementing or maturing analytics governance in a federated environment Experience operating within structured architecture governance (e.g. IDA) Track record of improving ownership, accountability, and lifecycle management for data platforms Commercial & Strategic Experience optimising licensing and capacity models Ability to align technical controls with commercial efficiency Experience producing platform roadmaps or business cases Qualifications Essential: Microsoft Certified: Fabric Analytics Engineer Associate (or equivalent advanced Power BI certification) Degree (or equivalent experience) in Data, Engineering, Computer Science, or similar Desirable: PL-300 (Power BI Data Analyst) Azure Administrator and/or Security certifications Experience in regulated or safety-critical environments Experience delivering enterprise-scale analytics transformation Personal Profile Self-starter with strong personal accountability Structured, methodical, and pragmatic Comfortable operating in complex, federated organisations Strong communicator able to produce policy and technical guidance Confident influencing senior stakeholders and technical teams JBRP1_UKTJ
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Mar 02, 2026
Full time
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Senior Software Engineer - Oracle Infra Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is the industry standard for financial data. Bloomberg's software solutions depend on robust data infrastructure to provide clients with this data. Our team is designing the next generation systems for managing this crucial infrastructure. Our ability to provide a DBaaS (Database as a Service) platform is critical to our clients' ability to retrieve and analyze massive quantities of data. Ensuring our services scale, are robust, secure, high-performing, and reliable is where you come in. The Oracle Infrastructure team, part of Bloomberg's Database Engineering organization, builds the self-service infrastructure that enables engineers to effectively manage relational databases. Our mission is to be like a cloud provider that's optimized for Bloomberg Engineering's development needs. We are responsible for the infrastructure used to manage hundreds of Oracle database instances. To support this scale, we are recreating our database platform with a focus on security, performance, high availability, and self-service. Our work sits at the intersection of infrastructure, developer experience, and data architecture, giving us unique visibility into Bloomberg's broader engineering landscape. We define database development best practices and leverage our collective experience to influence Bloomberg's database architecture design decisions. We are looking for a database expert with deep Oracle experience who also enjoys writing software and building automation. Someone who understands Oracle internals, performance tuning, and high availability architectures, and you believe in automating infrastructure and making things efficient where possible. We are ideally looking for someone who is comfortable in writing production-quality code and debugging issues that span database, application, and infrastructure layers. We'll expect you to: Build Oracle focused automation to manage at scale database configuration, version management, and push button deployment. Automate the configuration and testing of Oracle high availability and disaster recovery solutions. Build backend tooling and services (Java/Python) that integrate with managed on premises Oracle environments. Improve monitoring, telemetry, and operational tooling. Troubleshoot complex Oracle performance issues using execution plans, wait events, and workload analysis. Promote database design and performance best practices across engineering teams. Collaborate with engineering teams and domain experts to design resilient and scalable solutions. You need to have: Strong hands on engineering experience building applications on top of Oracle databases. Deep knowledge of SQL and PL/SQL. Experience diagnosing and resolving Oracle performance issues. Experience writing software (Java or Python) to automate operational workflows. Ability to debug complex production incidents across database and application layers. Strong problem-solving and communication skills. BA, BS, MS, or PhD in Computer Science, Engineering, or related technical field (or equivalent experience). We'd love to see: Experience administering Oracle at scale (Data Guard, ASM, RMAN). Experience building distributed systems or platform services. Familiarity with Kubernetes and containerized infrastructure. Experience with configuration management tools. Participation in database or open source communities. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Mar 02, 2026
Full time
Senior Software Engineer - Oracle Infra Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is the industry standard for financial data. Bloomberg's software solutions depend on robust data infrastructure to provide clients with this data. Our team is designing the next generation systems for managing this crucial infrastructure. Our ability to provide a DBaaS (Database as a Service) platform is critical to our clients' ability to retrieve and analyze massive quantities of data. Ensuring our services scale, are robust, secure, high-performing, and reliable is where you come in. The Oracle Infrastructure team, part of Bloomberg's Database Engineering organization, builds the self-service infrastructure that enables engineers to effectively manage relational databases. Our mission is to be like a cloud provider that's optimized for Bloomberg Engineering's development needs. We are responsible for the infrastructure used to manage hundreds of Oracle database instances. To support this scale, we are recreating our database platform with a focus on security, performance, high availability, and self-service. Our work sits at the intersection of infrastructure, developer experience, and data architecture, giving us unique visibility into Bloomberg's broader engineering landscape. We define database development best practices and leverage our collective experience to influence Bloomberg's database architecture design decisions. We are looking for a database expert with deep Oracle experience who also enjoys writing software and building automation. Someone who understands Oracle internals, performance tuning, and high availability architectures, and you believe in automating infrastructure and making things efficient where possible. We are ideally looking for someone who is comfortable in writing production-quality code and debugging issues that span database, application, and infrastructure layers. We'll expect you to: Build Oracle focused automation to manage at scale database configuration, version management, and push button deployment. Automate the configuration and testing of Oracle high availability and disaster recovery solutions. Build backend tooling and services (Java/Python) that integrate with managed on premises Oracle environments. Improve monitoring, telemetry, and operational tooling. Troubleshoot complex Oracle performance issues using execution plans, wait events, and workload analysis. Promote database design and performance best practices across engineering teams. Collaborate with engineering teams and domain experts to design resilient and scalable solutions. You need to have: Strong hands on engineering experience building applications on top of Oracle databases. Deep knowledge of SQL and PL/SQL. Experience diagnosing and resolving Oracle performance issues. Experience writing software (Java or Python) to automate operational workflows. Ability to debug complex production incidents across database and application layers. Strong problem-solving and communication skills. BA, BS, MS, or PhD in Computer Science, Engineering, or related technical field (or equivalent experience). We'd love to see: Experience administering Oracle at scale (Data Guard, ASM, RMAN). Experience building distributed systems or platform services. Familiarity with Kubernetes and containerized infrastructure. Experience with configuration management tools. Participation in database or open source communities. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Feb 28, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
Feb 28, 2026
Full time
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
I'm recruiting for a Software Test Lead/Principle Test Engineer to join my client based in North Bristol. A critical requirement for this role is experience testing complex, mission critical systems that integrate software with connected hardware or physical devices. Many of the products combine mobile applications, cloud services, and real world hardware, so you must be experienced working in environments where reliability, performance, and safety are paramount. You'll be joining an exciting scale up that develop genuinely meaningful technology designed to keep frontline personnel safe, connected, and operational in high pressure environments. They are the nicest bunch of people and you'll be part of a friendly, collaborative team and will lead testing across multiple complex projects. The role requires attendance in the Bristol office three days per week so you will need to be comfortable with this, and due to the sensitive nature of some projects, candidates must either hold a British passport or have lived in the UK continuously for the past five years to obtain the required security clearance. The organisation works exclusively on technology designed to protect people, so all projects are firmly in the "tech for good" space. The Test Team currently consists of nine test engineers, and they are now seeking a Principal level hire to act as a senior technical and strategic figure within the team. This position combines hands on delivery with higher level leadership responsibilities. You will help shape test strategy, guide quality practices across multiple engineering teams, and ensure testing is embedded early in the development life cycle. Working closely with developers, product owners, and stakeholders, you'll promote realistic, testable requirements and a strong culture of quality throughout the organisation. Initially, the role will involve leading predominantly manual testing across mobile, hardware integrated, and cloud based systems, while also playing a key part in shaping the company's continued investment in automation and AI. Current automation technologies include Playwright and Python based frameworks. What you'll be doing: Define and govern comprehensive testing approaches that ensure mission critical systems meet strict safety, reliability and regulatory expectations Embed within agile delivery teams, contributing to ceremonies and working closely with stakeholders to clarify and validate requirements Plan and execute structured testing activities, including defect management, prioritisation and clear communication of results Drive the growth of automated testing - you don't need to be hands on with it yourself Provide expert guidance throughout acceptance, release and deployment stages to support smooth, low risk delivery Lead, coach and support senior engineers, fostering capability growth and encouraging best practice across the team Exploring emerging approaches including AI driven tooling What they're looking for: Proven experience leading or coordinating testing activities for mission critical systems Strong interest in technology, innovation, and AI Solid background in manual testing across complex systems (mobile, hardware integrated, or distributed platforms) Knowledge of automation tools without needing to be necessarily hands on yourself Familiarity with CI/CD environments (e.g., Jenkins, GitLab) and modern QA practices A curious, pragmatic mindset and drive for continuous improvement This is a company where testing is highly valued and you'll have a real opportunity to influence strategy, shape the future of testing within the organisation, and contribute to technology that makes a real difference. The salary is up to 85,000 depending on experience. If you'd like to learn more, please apply to Sam Miller at SR2 - Socially Responsible Recruitment
Feb 28, 2026
Full time
I'm recruiting for a Software Test Lead/Principle Test Engineer to join my client based in North Bristol. A critical requirement for this role is experience testing complex, mission critical systems that integrate software with connected hardware or physical devices. Many of the products combine mobile applications, cloud services, and real world hardware, so you must be experienced working in environments where reliability, performance, and safety are paramount. You'll be joining an exciting scale up that develop genuinely meaningful technology designed to keep frontline personnel safe, connected, and operational in high pressure environments. They are the nicest bunch of people and you'll be part of a friendly, collaborative team and will lead testing across multiple complex projects. The role requires attendance in the Bristol office three days per week so you will need to be comfortable with this, and due to the sensitive nature of some projects, candidates must either hold a British passport or have lived in the UK continuously for the past five years to obtain the required security clearance. The organisation works exclusively on technology designed to protect people, so all projects are firmly in the "tech for good" space. The Test Team currently consists of nine test engineers, and they are now seeking a Principal level hire to act as a senior technical and strategic figure within the team. This position combines hands on delivery with higher level leadership responsibilities. You will help shape test strategy, guide quality practices across multiple engineering teams, and ensure testing is embedded early in the development life cycle. Working closely with developers, product owners, and stakeholders, you'll promote realistic, testable requirements and a strong culture of quality throughout the organisation. Initially, the role will involve leading predominantly manual testing across mobile, hardware integrated, and cloud based systems, while also playing a key part in shaping the company's continued investment in automation and AI. Current automation technologies include Playwright and Python based frameworks. What you'll be doing: Define and govern comprehensive testing approaches that ensure mission critical systems meet strict safety, reliability and regulatory expectations Embed within agile delivery teams, contributing to ceremonies and working closely with stakeholders to clarify and validate requirements Plan and execute structured testing activities, including defect management, prioritisation and clear communication of results Drive the growth of automated testing - you don't need to be hands on with it yourself Provide expert guidance throughout acceptance, release and deployment stages to support smooth, low risk delivery Lead, coach and support senior engineers, fostering capability growth and encouraging best practice across the team Exploring emerging approaches including AI driven tooling What they're looking for: Proven experience leading or coordinating testing activities for mission critical systems Strong interest in technology, innovation, and AI Solid background in manual testing across complex systems (mobile, hardware integrated, or distributed platforms) Knowledge of automation tools without needing to be necessarily hands on yourself Familiarity with CI/CD environments (e.g., Jenkins, GitLab) and modern QA practices A curious, pragmatic mindset and drive for continuous improvement This is a company where testing is highly valued and you'll have a real opportunity to influence strategy, shape the future of testing within the organisation, and contribute to technology that makes a real difference. The salary is up to 85,000 depending on experience. If you'd like to learn more, please apply to Sam Miller at SR2 - Socially Responsible Recruitment
Job Title: Senior Full Stack Developer (TypeScript, Node.js, AWS) Location: Remote (must be UK citizen) Contract Type: Permanent Experience Level: 10-20 years About the Role We are seeking an exceptional Senior Full Stack Developer with a proven track record in designing and delivering scalable, high-performance applications. This role requires deep technical expertise, strong architectural skills, and the ability to collaborate effectively across teams. Key Responsibilities Design, develop, and maintain robust full-stack applications and services. Architect and implement scalable cloud-based solutions leveraging AWS . Optimise system performance, reliability, and security. Collaborate with developers, DevOps engineers, and product managers to deliver high-quality solutions. Conduct code reviews and mentor team members to uphold best practices. Drive continuous improvement through automation and modern development methodologies. Troubleshoot and resolve complex technical issues efficiently. Essential Skills & Experience TypeScript expertise is mandatory. If you do not have strong, demonstrable experience with TypeScript, your CV will not progress beyond initial screening. Minimum 10 years of hands-on software development experience (10-20 years preferred). Strong back-end development skills using Node.js . Proven experience with AWS and cloud-based architectures. Full-stack proficiency with modern frameworks (e.g., React). Solid understanding of software architecture, design principles, and microservices. Experience with serverless architecture, containers (Docker, Kubernetes), and CI/CD pipelines. Excellent problem-solving, debugging, and communication skills. Preferred Qualifications Experience with databases such as PostgreSQL, Redis, TimescaleDB. Familiarity with additional languages (Python, Java, C/C++). Knowledge of infrastructure as code (IaC), DevOps methodologies, and security best practices. Exposure to monitoring tools (Prometheus, Nagios) and API design (GraphQL, REST). To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Feb 28, 2026
Full time
Job Title: Senior Full Stack Developer (TypeScript, Node.js, AWS) Location: Remote (must be UK citizen) Contract Type: Permanent Experience Level: 10-20 years About the Role We are seeking an exceptional Senior Full Stack Developer with a proven track record in designing and delivering scalable, high-performance applications. This role requires deep technical expertise, strong architectural skills, and the ability to collaborate effectively across teams. Key Responsibilities Design, develop, and maintain robust full-stack applications and services. Architect and implement scalable cloud-based solutions leveraging AWS . Optimise system performance, reliability, and security. Collaborate with developers, DevOps engineers, and product managers to deliver high-quality solutions. Conduct code reviews and mentor team members to uphold best practices. Drive continuous improvement through automation and modern development methodologies. Troubleshoot and resolve complex technical issues efficiently. Essential Skills & Experience TypeScript expertise is mandatory. If you do not have strong, demonstrable experience with TypeScript, your CV will not progress beyond initial screening. Minimum 10 years of hands-on software development experience (10-20 years preferred). Strong back-end development skills using Node.js . Proven experience with AWS and cloud-based architectures. Full-stack proficiency with modern frameworks (e.g., React). Solid understanding of software architecture, design principles, and microservices. Experience with serverless architecture, containers (Docker, Kubernetes), and CI/CD pipelines. Excellent problem-solving, debugging, and communication skills. Preferred Qualifications Experience with databases such as PostgreSQL, Redis, TimescaleDB. Familiarity with additional languages (Python, Java, C/C++). Knowledge of infrastructure as code (IaC), DevOps methodologies, and security best practices. Exposure to monitoring tools (Prometheus, Nagios) and API design (GraphQL, REST). To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Research Scientist, Open Source Technical Safeguards London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Societal Resilience Societal Resilience is a multidisciplinary team that studies how advanced AI models can impact people and society. We research the prevalence and severity of high impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium term risks. Why this team matters One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering. In this role, you'll join a strongly collaborative technical research team to help design and develop technical safeguards for open weight models that will reduce the risks of CSAM, NCII, and other risks. We do not expect this role to handle this kind of content directly. About the role This is a research scientist position focused on developing technical safeguards against tampering with open weight models. The role will focus on mitigating AI generated CSAM and NCII by targeting the real world supply chain driving harm: open weight models, adaptation artifacts (LoRAs, guides), and downstream distribution infrastructure (hosting platforms, app stores, operating systems). Our approach prioritises downstream mitigations and actors beyond frontier model developers. This role will build technical tools, protocols, and evidence that platforms and OS/app ecosystems can adopt. This work belongs inside UK government because effective mitigation requires cross agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade offs across innovation, competition, and child protection. This role will synthesize threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best practice protocols with NGOs to raise the floor across the ecosystem. You'll work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal. Example Projects Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers. Develop threat models for how AI generated CSAM and NCII are created and shared. Design and pilot scalable, automated screening methodologies platforms can run pre publication on uploads (topic general prototypes that avoid exposure to illegal content). Develop approaches for identifying and tracking known or novel CSAM LoRAs to enable platform blocking at upload. Co develop best practice protocols with NGOs (e.g., Thorn/IWF) for hosting, app store, and OS enforcement. This is an individual contributor role with no line management responsibilities. You will report into a senior Research Scientist overseeing our team's misuse workstream. Impact Your work will raise safety standards across hosting and distribution layers, reduce the availability of CSAM/NCII generating artifacts (e.g., LoRAs) on major platforms, inform industry protocols and possibly standards, and provide actionable evidence for government decisions. Crucially, we do not expect this role to handle NCII or CSAM material. Role Requirements We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier career applicants (2-3 years) with demonstrated impact in open source technical work. Deep familiarity with open weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre deployment safeguards. Strong methodological rigor and creativity; able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content. Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale. Knowledge of fingerprinting and detection approaches (e.g., perceptual hashing, embedding based similarity, behavioural signatures), and their privacy and robustness trade offs. Excellent writing and communication for technical and policy audiences; ability to translate evidence into practical governance guidance. High agency, ethical judgment, and safe working practices for sensitive topics. Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work. We're looking for full time commitment but are open to part time arrangements. Preferred Experience collaborating with hosting platforms, app stores, OS vendors, or regulators (e.g., Ofcom) on safety by design initiatives. Familiarity with Online Safety Act requirements and platform trust & safety operations; prior work with NGOs such as IWF, Thorn, or STOPNCII.org. Expertise in diffusion models and adaptation techniques (LoRA), model evaluation, and secure tooling for sensitive domains. Experience with privacy preserving computation, metadata poor detection, and standardization efforts (RFCs, protocols). Open source contributions (tools, libraries) and evidence of leading cross sector technical projects. Example backgrounds Senior trust & safety engineer who built automated content integrity pipelines for a large platform; strong OS/Strack record; experience with model hosting ecosystems. Applied ML researcher with a PhD/postdoc in computer vision or ML safety; hands on with diffusion/LoRA; led evaluations and published tooling used by industry. Security/data engineer with 3+ years building scalable detection systems; experience in fingerprinting, hashing, and privacy preserving methods; collaborated with regulators/NGOs. What we offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research, and adjacent sciences If you're talented and driven, you'll own important problems early. 5 development days per year, an annual L&D budget, and travel support for conferences and external collaborations. Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford, or Bristol Hybrid working with opportunities for occasional remote work abroad At least 25 days' annual leave, 8 public holidays, and extra team wide breaks Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) Plus: 27% government funded pension contribution on top of salary, work from home equipment and dental insurance Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top (details on the "what we offer" section on our careers page). This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Salary ranges Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 . click apply for full job details
Feb 28, 2026
Full time
Research Scientist, Open Source Technical Safeguards London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Societal Resilience Societal Resilience is a multidisciplinary team that studies how advanced AI models can impact people and society. We research the prevalence and severity of high impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium term risks. Why this team matters One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering. In this role, you'll join a strongly collaborative technical research team to help design and develop technical safeguards for open weight models that will reduce the risks of CSAM, NCII, and other risks. We do not expect this role to handle this kind of content directly. About the role This is a research scientist position focused on developing technical safeguards against tampering with open weight models. The role will focus on mitigating AI generated CSAM and NCII by targeting the real world supply chain driving harm: open weight models, adaptation artifacts (LoRAs, guides), and downstream distribution infrastructure (hosting platforms, app stores, operating systems). Our approach prioritises downstream mitigations and actors beyond frontier model developers. This role will build technical tools, protocols, and evidence that platforms and OS/app ecosystems can adopt. This work belongs inside UK government because effective mitigation requires cross agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade offs across innovation, competition, and child protection. This role will synthesize threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best practice protocols with NGOs to raise the floor across the ecosystem. You'll work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal. Example Projects Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers. Develop threat models for how AI generated CSAM and NCII are created and shared. Design and pilot scalable, automated screening methodologies platforms can run pre publication on uploads (topic general prototypes that avoid exposure to illegal content). Develop approaches for identifying and tracking known or novel CSAM LoRAs to enable platform blocking at upload. Co develop best practice protocols with NGOs (e.g., Thorn/IWF) for hosting, app store, and OS enforcement. This is an individual contributor role with no line management responsibilities. You will report into a senior Research Scientist overseeing our team's misuse workstream. Impact Your work will raise safety standards across hosting and distribution layers, reduce the availability of CSAM/NCII generating artifacts (e.g., LoRAs) on major platforms, inform industry protocols and possibly standards, and provide actionable evidence for government decisions. Crucially, we do not expect this role to handle NCII or CSAM material. Role Requirements We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier career applicants (2-3 years) with demonstrated impact in open source technical work. Deep familiarity with open weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre deployment safeguards. Strong methodological rigor and creativity; able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content. Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale. Knowledge of fingerprinting and detection approaches (e.g., perceptual hashing, embedding based similarity, behavioural signatures), and their privacy and robustness trade offs. Excellent writing and communication for technical and policy audiences; ability to translate evidence into practical governance guidance. High agency, ethical judgment, and safe working practices for sensitive topics. Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work. We're looking for full time commitment but are open to part time arrangements. Preferred Experience collaborating with hosting platforms, app stores, OS vendors, or regulators (e.g., Ofcom) on safety by design initiatives. Familiarity with Online Safety Act requirements and platform trust & safety operations; prior work with NGOs such as IWF, Thorn, or STOPNCII.org. Expertise in diffusion models and adaptation techniques (LoRA), model evaluation, and secure tooling for sensitive domains. Experience with privacy preserving computation, metadata poor detection, and standardization efforts (RFCs, protocols). Open source contributions (tools, libraries) and evidence of leading cross sector technical projects. Example backgrounds Senior trust & safety engineer who built automated content integrity pipelines for a large platform; strong OS/Strack record; experience with model hosting ecosystems. Applied ML researcher with a PhD/postdoc in computer vision or ML safety; hands on with diffusion/LoRA; led evaluations and published tooling used by industry. Security/data engineer with 3+ years building scalable detection systems; experience in fingerprinting, hashing, and privacy preserving methods; collaborated with regulators/NGOs. What we offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research, and adjacent sciences If you're talented and driven, you'll own important problems early. 5 development days per year, an annual L&D budget, and travel support for conferences and external collaborations. Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford, or Bristol Hybrid working with opportunities for occasional remote work abroad At least 25 days' annual leave, 8 public holidays, and extra team wide breaks Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) Plus: 27% government funded pension contribution on top of salary, work from home equipment and dental insurance Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top (details on the "what we offer" section on our careers page). This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Salary ranges Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 . click apply for full job details
# About the Opportunity Job Type: Fixed Term ContractorContract duration : 11 months.Application Deadline: 03 April 2026 Title: Associate Director, Investment Analytics - 12 month FTC / Secondment Opportunity Department: Asset Management CAO Team Location: London Reports To: Global Head of Investment Analytics About Fidelity International Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately-held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $611.4 billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals. Our Workplace & Personal Financial Health business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $471 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures. Find out more about what we do, our history, and how you could be a part of our future at Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more.As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond. Our Values Integrity - Doing the right thing, every time and putting the client first Trust - Empowering each other to take the initiative and make good decision Our Behaviours Our employees should be: Brave - Challenge the status quo, be accountable and speak up Bold - Act with conviction, encourage diverse thinking and keep things simple Curious - Learn to do new things in better ways and encourage fresh thinking Compassionate - Have empathy, care for colleagues, clients and the community Department Description Investment Management is a multi-location, multi time zone environment and is responsible for all core portfolio management, trading, research and first line risk management activities. The Asset Management CAO Team is a part of the investment management team and is responsible for managing and overseeing the IM operating platform. This includes BAU operational activities, business management activities, governance and oversight support, as well as shaping and executing on strategic and regulatory change initiatives across the department. The Asset Management CAO Team works in close collaboration with stakeholders across investment management and the broader organisation to deliver Fidelity wide strategic goals. The Investment Analytics function is a newly created team bringing together Trading Analytics, Portfolio Construction Service and the Performance and Attribution teams into order to create a best-in-class service to our stakeholders. Purpose of your role The main objective of this position is to support the department head in establishing a new Investment Analytics function and implementing the strategically important Investment Risk and Analytics programme. This involves delivery of new risk and attribution reporting, streamlining processes and enhancing collaboration across various teams to improve efficiency and consistency in analytics delivery. You will work within a small team and collaborate effectively with individuals across all levels, from senior management to junior developers. Additionally, you may take on managerial responsibilities for some of the teams or provide oversight for specific activities, ensuring alignment with strategic objectives. The candidate will play a crucial role in the team's success by analysing existing processes, providing clear requirements to development teams, and engaging with key stakeholders to ensure the successful implementation of solutions. Furthermore, the role will involve working across different asset classes to ensure that requirements are fulfilled, stakeholders are appropriately engaged, and successful solutions are implemented. Key Responsibilities Support the department head in establishing a cross-asset analytics function Support the effective implementation of the Investment Risk and Analytics programme. Collaborate closely with individual analytics team to ensure coordination of activities. Engage with various asset classes to fulfil requirements and ensure effective stakeholder consultation. Collaborate with the Market Data team to effectively manage critical vendor relationships and manage cost savings. Provide reporting and metrics for successful monitoring and evaluation of the team's progress and programme implementation. Experience and Qualifications Required Strong understanding of analytics, with experience in investment risk or analytics functions within Asset Management Experience of working with risk and attribution systems such as FactSet, MSCI, Bloomberg PORT. Educated to degree level, with additional qualifications such as CFA, FRM, or equivalent preferred. Track record of successfully delivering on commitments or projects in a timely and effective manner. Excellent communication skills, with the ability to engage effectively with stakeholders and senior management. Good problem-solving skills and ability to adapt to changing requirements or deliverables. Proficiency in data science, with experience in Python or other coding language is desirable. Line management and process redesign experience is also advantageous.
Feb 28, 2026
Full time
# About the Opportunity Job Type: Fixed Term ContractorContract duration : 11 months.Application Deadline: 03 April 2026 Title: Associate Director, Investment Analytics - 12 month FTC / Secondment Opportunity Department: Asset Management CAO Team Location: London Reports To: Global Head of Investment Analytics About Fidelity International Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately-held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $611.4 billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals. Our Workplace & Personal Financial Health business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $471 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures. Find out more about what we do, our history, and how you could be a part of our future at Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more.As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond. Our Values Integrity - Doing the right thing, every time and putting the client first Trust - Empowering each other to take the initiative and make good decision Our Behaviours Our employees should be: Brave - Challenge the status quo, be accountable and speak up Bold - Act with conviction, encourage diverse thinking and keep things simple Curious - Learn to do new things in better ways and encourage fresh thinking Compassionate - Have empathy, care for colleagues, clients and the community Department Description Investment Management is a multi-location, multi time zone environment and is responsible for all core portfolio management, trading, research and first line risk management activities. The Asset Management CAO Team is a part of the investment management team and is responsible for managing and overseeing the IM operating platform. This includes BAU operational activities, business management activities, governance and oversight support, as well as shaping and executing on strategic and regulatory change initiatives across the department. The Asset Management CAO Team works in close collaboration with stakeholders across investment management and the broader organisation to deliver Fidelity wide strategic goals. The Investment Analytics function is a newly created team bringing together Trading Analytics, Portfolio Construction Service and the Performance and Attribution teams into order to create a best-in-class service to our stakeholders. Purpose of your role The main objective of this position is to support the department head in establishing a new Investment Analytics function and implementing the strategically important Investment Risk and Analytics programme. This involves delivery of new risk and attribution reporting, streamlining processes and enhancing collaboration across various teams to improve efficiency and consistency in analytics delivery. You will work within a small team and collaborate effectively with individuals across all levels, from senior management to junior developers. Additionally, you may take on managerial responsibilities for some of the teams or provide oversight for specific activities, ensuring alignment with strategic objectives. The candidate will play a crucial role in the team's success by analysing existing processes, providing clear requirements to development teams, and engaging with key stakeholders to ensure the successful implementation of solutions. Furthermore, the role will involve working across different asset classes to ensure that requirements are fulfilled, stakeholders are appropriately engaged, and successful solutions are implemented. Key Responsibilities Support the department head in establishing a cross-asset analytics function Support the effective implementation of the Investment Risk and Analytics programme. Collaborate closely with individual analytics team to ensure coordination of activities. Engage with various asset classes to fulfil requirements and ensure effective stakeholder consultation. Collaborate with the Market Data team to effectively manage critical vendor relationships and manage cost savings. Provide reporting and metrics for successful monitoring and evaluation of the team's progress and programme implementation. Experience and Qualifications Required Strong understanding of analytics, with experience in investment risk or analytics functions within Asset Management Experience of working with risk and attribution systems such as FactSet, MSCI, Bloomberg PORT. Educated to degree level, with additional qualifications such as CFA, FRM, or equivalent preferred. Track record of successfully delivering on commitments or projects in a timely and effective manner. Excellent communication skills, with the ability to engage effectively with stakeholders and senior management. Good problem-solving skills and ability to adapt to changing requirements or deliverables. Proficiency in data science, with experience in Python or other coding language is desirable. Line management and process redesign experience is also advantageous.
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
Feb 27, 2026
Contractor
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
FULLY REMOTE Product Manager required with proven experience delivering a full product end-to-end within a SaaS environment. In this fully remote role, you will take responsibility for one SaaS product area, setting direction, defining the roadmap and driving it through build, release and iteration. This role is not suitable for candidates who have only managed features or components. The product is a SaaS solution built on the Atlassian platform and uses Jira. You will work in Jira and Jira Work Management as part of an Atlassian-based environment, so you should be comfortable operating within Atlassian tools and Jira workflows. Requirements: Proven Product Manager, potentially holding titles such as Senior Product Manager or Product Owner End-to-end ownership of a SaaS product from strategy through release and iteration Full product lifecycle management rather than isolated feature delivery Independent roadmap definition and prioritisation Hands-on familiarity with Atlassian and Jira Detailed product specifications and structured user stories Release planning, documentation and training materials Product gap and competitive analysis Data-led decision making using qualitative and quantitative inputs Clear communication across technical and non-technical teams Translation of developer use cases into APIs and structured features Google Tag Manager, Google Analytics, SQL, Python or similar If you are an experienced Product Manager with SaaS experience and a background working with Atlassian products, including Jira, get in touch to find out more.
Feb 27, 2026
Full time
FULLY REMOTE Product Manager required with proven experience delivering a full product end-to-end within a SaaS environment. In this fully remote role, you will take responsibility for one SaaS product area, setting direction, defining the roadmap and driving it through build, release and iteration. This role is not suitable for candidates who have only managed features or components. The product is a SaaS solution built on the Atlassian platform and uses Jira. You will work in Jira and Jira Work Management as part of an Atlassian-based environment, so you should be comfortable operating within Atlassian tools and Jira workflows. Requirements: Proven Product Manager, potentially holding titles such as Senior Product Manager or Product Owner End-to-end ownership of a SaaS product from strategy through release and iteration Full product lifecycle management rather than isolated feature delivery Independent roadmap definition and prioritisation Hands-on familiarity with Atlassian and Jira Detailed product specifications and structured user stories Release planning, documentation and training materials Product gap and competitive analysis Data-led decision making using qualitative and quantitative inputs Clear communication across technical and non-technical teams Translation of developer use cases into APIs and structured features Google Tag Manager, Google Analytics, SQL, Python or similar If you are an experienced Product Manager with SaaS experience and a background working with Atlassian products, including Jira, get in touch to find out more.
If you are a versatile and highly skilled S enior Cloud & Full Stack Engineer ready to work, support and advance this UK leading companies modern application ecosystem, then please, do read on! This role requires strong expertise across cloud infrastructure, backend microservices, frontend development, and legacy system support. The ideal candidate will possess comprehensive skills in all these areas, ensuring a well-rounded and robust contribution to our technology landscape. Duration : temporary contract for 3-6months or so This is a paid per hour PAYE temporary role Rate of Pay PH: 33-43ph plus holiday pay (circa 60-80,000 if salaried) Location: hybrid. Need to work in the office in Central Bedfordshire for meetings, reviews and handovers, which will be once a week or so. Hours : 35 hrs per week 9am-5pm (1 hr lunch) Days: Mon-Fri Benefits: - free parking - electric vehicle charge points - holiday pay accrual - wfh most of the time - pension after a qualifying period Key Responsibilities Design, build, and maintain AWS infrastructure-as-code deployments using Terraform and related tooling. Manage and optimize serverless microservices, including Lambda functions, API Gateway, and Amplify-hosted applications. Support and enhance Python-based Lambda microservices and Node.js backend components. Maintain and develop React-based front-end applications, including complex UI components and dynamic API integrations. Oversee database administration for MySQL/RDS Apply strong security best practices across infrastructure, applications, and data flows. Provide maintenance and incremental improvements to legacy .NET applications where required. Produce and maintain clear technical documentation for infrastructure, services, and processes. Collaborate effectively with cross functional teams through strong communication and teamwork. Core Technical Skills (Primary Focus & Essentials/Nice to have) AWS (essential) IaC & Terraform Python (essential) for Lambda microservices Node.js backend development (essential) MySQL/RDS administration (essential) React, HTML, CSS, and AG Grid API Gateway & dynamic API integrations Documentation and communication excellence ( essential) AWS Amplify workflows Legacy .NET application support Ideal Candidate Profile Comfortable working across cloud infrastructure, backend services, and front-end applications. Able to take ownership of systems end-to-end, from architecture to deployment. Strong documentation habits and the ability to communicate clearly with technical and non?technical stakeholders. A collaborative mindset with a focus on team alignment and shared problem?solving. Eager to learn new technologies and expand into unfamiliar areas. Excellent communication skills and a proactive approach. Proven relevant experience, 3 years or more. Eligibility to work in the UK on a full time basis (please, no student visas as it will not cover the duration of the hours/contract) Ideally, a driver as the location of the office is not close by any public transport links This is to start asap. So if you are this amazing, talented Cloud & Full Stack Engineer, then please send your cv to James Newbury Appointments for immediate review. If you do not hear back within 3 working days, unfortunately, you will not have been shortlisted on this occasion, however ,we would like to thank you for your interest and wish you all of the very best in your search.
Feb 27, 2026
Contractor
If you are a versatile and highly skilled S enior Cloud & Full Stack Engineer ready to work, support and advance this UK leading companies modern application ecosystem, then please, do read on! This role requires strong expertise across cloud infrastructure, backend microservices, frontend development, and legacy system support. The ideal candidate will possess comprehensive skills in all these areas, ensuring a well-rounded and robust contribution to our technology landscape. Duration : temporary contract for 3-6months or so This is a paid per hour PAYE temporary role Rate of Pay PH: 33-43ph plus holiday pay (circa 60-80,000 if salaried) Location: hybrid. Need to work in the office in Central Bedfordshire for meetings, reviews and handovers, which will be once a week or so. Hours : 35 hrs per week 9am-5pm (1 hr lunch) Days: Mon-Fri Benefits: - free parking - electric vehicle charge points - holiday pay accrual - wfh most of the time - pension after a qualifying period Key Responsibilities Design, build, and maintain AWS infrastructure-as-code deployments using Terraform and related tooling. Manage and optimize serverless microservices, including Lambda functions, API Gateway, and Amplify-hosted applications. Support and enhance Python-based Lambda microservices and Node.js backend components. Maintain and develop React-based front-end applications, including complex UI components and dynamic API integrations. Oversee database administration for MySQL/RDS Apply strong security best practices across infrastructure, applications, and data flows. Provide maintenance and incremental improvements to legacy .NET applications where required. Produce and maintain clear technical documentation for infrastructure, services, and processes. Collaborate effectively with cross functional teams through strong communication and teamwork. Core Technical Skills (Primary Focus & Essentials/Nice to have) AWS (essential) IaC & Terraform Python (essential) for Lambda microservices Node.js backend development (essential) MySQL/RDS administration (essential) React, HTML, CSS, and AG Grid API Gateway & dynamic API integrations Documentation and communication excellence ( essential) AWS Amplify workflows Legacy .NET application support Ideal Candidate Profile Comfortable working across cloud infrastructure, backend services, and front-end applications. Able to take ownership of systems end-to-end, from architecture to deployment. Strong documentation habits and the ability to communicate clearly with technical and non?technical stakeholders. A collaborative mindset with a focus on team alignment and shared problem?solving. Eager to learn new technologies and expand into unfamiliar areas. Excellent communication skills and a proactive approach. Proven relevant experience, 3 years or more. Eligibility to work in the UK on a full time basis (please, no student visas as it will not cover the duration of the hours/contract) Ideally, a driver as the location of the office is not close by any public transport links This is to start asap. So if you are this amazing, talented Cloud & Full Stack Engineer, then please send your cv to James Newbury Appointments for immediate review. If you do not hear back within 3 working days, unfortunately, you will not have been shortlisted on this occasion, however ,we would like to thank you for your interest and wish you all of the very best in your search.
We're looking for a Senior-level Software Engineer with strong JavaScript/TypeScript skills and experience across modern web stacks. You'll be instrumental in our transition away from Drupal as we modernise and scale our platform. Tech Stack: At least 6-8 years commercial experience with Node, JavaScript or TypeScript Exposure of Laravel and/or Python (Django or Flask a plus) Familiarity with Drupal and some knowledge of modern front-end frameworks (React, Vue, etc.) What You'll Do: Build scalable applications using modern frameworks and clean architecture Contribute to backend services and APIs (Python or Laravel-based) Help re-platform and migrate to a modern stack Collaborate cross-functionally with UX, Product, and DevOps What We Offer: A supportive environment that encourages professional growth and continuous learning. An inclusive, collaborative culture within one of the UK's leading business services providers. A competitive salary and benefits package. 49904MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
We're looking for a Senior-level Software Engineer with strong JavaScript/TypeScript skills and experience across modern web stacks. You'll be instrumental in our transition away from Drupal as we modernise and scale our platform. Tech Stack: At least 6-8 years commercial experience with Node, JavaScript or TypeScript Exposure of Laravel and/or Python (Django or Flask a plus) Familiarity with Drupal and some knowledge of modern front-end frameworks (React, Vue, etc.) What You'll Do: Build scalable applications using modern frameworks and clean architecture Contribute to backend services and APIs (Python or Laravel-based) Help re-platform and migrate to a modern stack Collaborate cross-functionally with UX, Product, and DevOps What We Offer: A supportive environment that encourages professional growth and continuous learning. An inclusive, collaborative culture within one of the UK's leading business services providers. A competitive salary and benefits package. 49904MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Software Engineer - Bazel / Java We are seeking a collaborative and curious backend Engineer to help drive and develop the next generation of developer infrastructure and tooling as we establish a unified, robust and scalable monorepo ecosystem for all engineers at Spotify This role helps to support VCS and CI systems in addition to a Fleet Management product for helping developers at our client manage large scale software changes. In the last year, we have invested a huge amount of time and effort into the next steps of that and our migration towards monorepos. The role is located in our Platform Developer Experience (PDX) R&D Studio. The PDX R&D Studio oversees and owns cross discipline infrastructure that cuts across all engineering at our clent including our VCS, CI systems and beyond. YOU MUST HAVE EXPERIENCE WITH BAZEL TO BE CONSIDERED FOR THIS ROLE Role Duties Bring your experience and knowledge of working with Bazel and scaling monorepos to millions of lines of code to help us rethink the future of backend engineering at Spotify Help us migrate to, in addition to own and maintain Bazel and any related abstractions built to improve the developer experience Collaborate with our adjacent infrastructure teams across the company to develop what a best in class monorepo experience means Essential Skills Strong passion for making developers highly productive Experience developing and maintaining tools for large monorepo-based codebases Excellent problem solving skills Experience working with the Bazel build system and its ecosystem (e.g: rulesets such as rules_jvm_external, IntelliJ Bazel plugin, etc.) Fluency in Java, Python, Starlark and TypeScript This contract role can be worked fully renmotely but you must be based in the UK. I have interview slots ready to be filled so dont delay and apply ASAP to be considered. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Feb 27, 2026
Contractor
Senior Software Engineer - Bazel / Java We are seeking a collaborative and curious backend Engineer to help drive and develop the next generation of developer infrastructure and tooling as we establish a unified, robust and scalable monorepo ecosystem for all engineers at Spotify This role helps to support VCS and CI systems in addition to a Fleet Management product for helping developers at our client manage large scale software changes. In the last year, we have invested a huge amount of time and effort into the next steps of that and our migration towards monorepos. The role is located in our Platform Developer Experience (PDX) R&D Studio. The PDX R&D Studio oversees and owns cross discipline infrastructure that cuts across all engineering at our clent including our VCS, CI systems and beyond. YOU MUST HAVE EXPERIENCE WITH BAZEL TO BE CONSIDERED FOR THIS ROLE Role Duties Bring your experience and knowledge of working with Bazel and scaling monorepos to millions of lines of code to help us rethink the future of backend engineering at Spotify Help us migrate to, in addition to own and maintain Bazel and any related abstractions built to improve the developer experience Collaborate with our adjacent infrastructure teams across the company to develop what a best in class monorepo experience means Essential Skills Strong passion for making developers highly productive Experience developing and maintaining tools for large monorepo-based codebases Excellent problem solving skills Experience working with the Bazel build system and its ecosystem (e.g: rulesets such as rules_jvm_external, IntelliJ Bazel plugin, etc.) Fluency in Java, Python, Starlark and TypeScript This contract role can be worked fully renmotely but you must be based in the UK. I have interview slots ready to be filled so dont delay and apply ASAP to be considered. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Total remuneration: £58,252 £68,586 Pay supplement: The base salary for this role is £48,544 £57,155. This job qualifies for Digital, Data and Technology Annual Pay supplement 20% is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual leave: 38 days annual holiday, increasing to 42 days with length of service Duration: Permanent Working Pattern: 35 hours per week. We are a flexible employer and will consider a variety of working patterns on a case by case basis. For example, compressed hours, term time working or part time working. Location: Hybrid working model. Contractual base either at Meadowbank House, Edinburgh (EH8 7AU), or St Vincent Plaza, Glasgow (G2 5LD). You will be expected to attend one of these locations as required by the role. Grade: Senior Executive Officer (SEO) Closing date: 8 March at 11.59pm Number of vacancies: 2 Registers of Scotland (RoS) Join an award winning organisation recognised for its technology and innovation. Registers of Scotland is a world leading pioneer in inland and property registration. Our full stack teams design, architect, and build all our registration products in house. We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land and property registration worldwide. Flexible and hybrid working: depending on the role and team requirements, work when and where it's best for you and your stakeholders. Benefits: enjoy pay progression, pension contributions of up to 28.97%, up to a year's parental leave, and 38 days annual holiday, increasing to 42 days with length of service. Investment in professional development: we invest in all our people so that they have the right skills to be productive and confident in their job. Diversity and Inclusion: We are an 'Investor in People' and a 'Disability Confident' employer. We are inclusive, stronger together, and committed to putting our people first. Positive work culture: RoS is an agile, digital organisation using leading edge technology. Colleagues understand their role in achieving our strategy and have the autonomy to deliver. Our Tech stack Backend: Python 3.9+, FastAPI, async/await, OOP Data: Pandas, NumPy, SQL, SQLAlchemy, psycopg2, Apache Airflow, Dagster, Temporal.io AI/ML: Transformers (Hugging Face), PyTorch, OpenCV, PIL/Pillow, YOLO, LoRA/QLoRA, RLHF, MLflow, Weights & Biases DevOps: AWS, CI/CD, Docker, Kubernetes (EKS/ECS), Infrastructure as Code (CDK, Terraform, CloudFormation) AWS: Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch Monitoring & Architecture: Grafana, telemetry frameworks, event driven and microservices architectures The Role This post sits within the Senior Software Engineer job family and provides specialist expertise in Python and AI/ML engineering day to day. In this role, you will design, build, maintain and support robust software solutions that underpin our digital products and internal services. You will be responsible for developing and operating scalable data pipelines, APIs and cloud native infrastructure, and for applying AI/ML techniques, including OCR, large language models and computer vision, to automate processes and improve efficiency. Working across the full delivery lifecycle, you will contribute to discovery, design, implementation, testing, deployment and ongoing support. You will collaborate closely with multidisciplinary teams, ensuring solutions are secure, reliable, maintainable and aligned to architectural and engineering standards, while continuously improving performance and user outcomes. On a typical day you will Design, build, and operate scalable ETL and data pipelines handling structured and unstructured data for AI/ML workloads. Develop and maintain robust API services, including FastAPI, RESTful APIs, WebSockets, model serving endpoints, integrating AI/ML capabilities with existing digital platforms. Implement authentication/authorisation using JWT, OAuth 2.0, API keys, and maintain API versioning and documentation. Deploy and operate cloud native infrastructure using AWS Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch, with infrastructure as code tools: CDK, Terraform, CloudFormation. Containerise applications using Docker, orchestrate with Kubernetes (EKS/ECS), and maintain automated CI/CD pipelines. Implement monitoring and observability using CloudWatch, Grafana, telemetry frameworks, including experiment tracking tools like MLflow and Weights & Biases. Research, prototype and implement AI/ML solutions using Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO, including LoRA/QLoRA fine tuning, RLHF, and multi modal AI/ML systems. Collaborate with team members to optimise platform and AI/ML workflow performance, reliability, and scalability. Ensure compliance with security, accessibility, performance, and operational standards. Participate in agile ceremonies, contribute to team knowledge sharing, and support process improvements. Support disaster recovery procedures and maintain high availability, resilient system standards. Key Responsibilities / Essential Criteria - Skills and Attributes for Success Technical: Python 3.9+, object oriented programming, async/await, decorators, context managers, structured logging, pytest, performance optimisation. Data processing: Pandas, NumPy, SQL, SQLAlchemy / psycopg2, ETL orchestration (Apache Airflow, Dagster, Temporal.io). AI/ML frameworks: Transformers / Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO; model fine tuning (LoRA/QLoRA), RLHF, experiment tracking (MLflow, Weights & Biases). Web/API development: FastAPI, RESTful APIs, WebSockets, authentication/authorisation (JWT, OAuth 2.0, API keys), API versioning, documentation, model serving endpoints. Cloud & DevOps: AWS Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch; infrastructure as code with CDK, Terraform, CloudFormation; Docker, Kubernetes (EKS/ECS); CI/CD pipelines. Monitoring & Observability: CloudWatch, Grafana, telemetry frameworks for production systems. System Design: event driven and microservices architectures, high availability, resilient systems, multi modal AI/ML systems. Professional software engineering practices: Git workflows, unit/integration testing, code review, agile delivery (Scrum/Kanban). Experience: Developing production grade AI/ML and data platforms, ensuring reliability, maintainability, and performance for public sector services. Designing, building, and operating scalable ETL/data pipelines handling structured and unstructured data. Delivering secure, cloud native AI solutions, integrating with existing infrastructure, managing lifecycle via IaC. Developing, supporting, and integrating APIs and microservices, including AI/ML model serving endpoints. Deploying and operating containerised applications in production, with automated CI/CD and environment management. Implementing monitoring, alerting, and incident response processes for production systems, including AI/ML services. Applying professional software engineering practices collaboratively in multidisciplinary teams to deliver services iteratively. Behaviours Managing a Quality Service Takes responsibility for the design, delivery, and ongoing operation of secure, resilient, and high performing AI/ML platforms, implementing monitoring, incident management, and continuous improvement to ensure services consistently meet user needs and agreed service levels. Working Together Works collaboratively within multidisciplinary teams, partnering with engineers, architects, and stakeholders to translate business and technical requirements into practical AI/ML solutions, sharing knowledge and contributing to collective delivery outcomes. Delivering at Pace Plans and delivers complex AI/ML technical work across multiple priorities, using automation, CI/CD, and agile practices to release reliable platform capabilities quickly while managing risk and maintaining service stability. Stage one - Application Process To apply, click on "Apply now" and complete the online application form. You will need to submit: A CV outlining your career history and how you meet the technical/experience criteria (max 4 pages). Responses to the application questions explaining how you meet the required technical/experience aspects of the role (maximum 200 words per answer). Please note: If we receive a high volume of applications, we may complete an initial sift on technical/experience criteria, as evidenced by your responses to the questions. Applications that are not accompanied by CVs or responses exceeding 200 words per question will not be considered. We strongly advise you to write your statement in the STAR format and prepare your answers using software such as MS Word or Google Docs, and then upload the file. . click apply for full job details
Feb 27, 2026
Full time
Total remuneration: £58,252 £68,586 Pay supplement: The base salary for this role is £48,544 £57,155. This job qualifies for Digital, Data and Technology Annual Pay supplement 20% is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual leave: 38 days annual holiday, increasing to 42 days with length of service Duration: Permanent Working Pattern: 35 hours per week. We are a flexible employer and will consider a variety of working patterns on a case by case basis. For example, compressed hours, term time working or part time working. Location: Hybrid working model. Contractual base either at Meadowbank House, Edinburgh (EH8 7AU), or St Vincent Plaza, Glasgow (G2 5LD). You will be expected to attend one of these locations as required by the role. Grade: Senior Executive Officer (SEO) Closing date: 8 March at 11.59pm Number of vacancies: 2 Registers of Scotland (RoS) Join an award winning organisation recognised for its technology and innovation. Registers of Scotland is a world leading pioneer in inland and property registration. Our full stack teams design, architect, and build all our registration products in house. We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land and property registration worldwide. Flexible and hybrid working: depending on the role and team requirements, work when and where it's best for you and your stakeholders. Benefits: enjoy pay progression, pension contributions of up to 28.97%, up to a year's parental leave, and 38 days annual holiday, increasing to 42 days with length of service. Investment in professional development: we invest in all our people so that they have the right skills to be productive and confident in their job. Diversity and Inclusion: We are an 'Investor in People' and a 'Disability Confident' employer. We are inclusive, stronger together, and committed to putting our people first. Positive work culture: RoS is an agile, digital organisation using leading edge technology. Colleagues understand their role in achieving our strategy and have the autonomy to deliver. Our Tech stack Backend: Python 3.9+, FastAPI, async/await, OOP Data: Pandas, NumPy, SQL, SQLAlchemy, psycopg2, Apache Airflow, Dagster, Temporal.io AI/ML: Transformers (Hugging Face), PyTorch, OpenCV, PIL/Pillow, YOLO, LoRA/QLoRA, RLHF, MLflow, Weights & Biases DevOps: AWS, CI/CD, Docker, Kubernetes (EKS/ECS), Infrastructure as Code (CDK, Terraform, CloudFormation) AWS: Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch Monitoring & Architecture: Grafana, telemetry frameworks, event driven and microservices architectures The Role This post sits within the Senior Software Engineer job family and provides specialist expertise in Python and AI/ML engineering day to day. In this role, you will design, build, maintain and support robust software solutions that underpin our digital products and internal services. You will be responsible for developing and operating scalable data pipelines, APIs and cloud native infrastructure, and for applying AI/ML techniques, including OCR, large language models and computer vision, to automate processes and improve efficiency. Working across the full delivery lifecycle, you will contribute to discovery, design, implementation, testing, deployment and ongoing support. You will collaborate closely with multidisciplinary teams, ensuring solutions are secure, reliable, maintainable and aligned to architectural and engineering standards, while continuously improving performance and user outcomes. On a typical day you will Design, build, and operate scalable ETL and data pipelines handling structured and unstructured data for AI/ML workloads. Develop and maintain robust API services, including FastAPI, RESTful APIs, WebSockets, model serving endpoints, integrating AI/ML capabilities with existing digital platforms. Implement authentication/authorisation using JWT, OAuth 2.0, API keys, and maintain API versioning and documentation. Deploy and operate cloud native infrastructure using AWS Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch, with infrastructure as code tools: CDK, Terraform, CloudFormation. Containerise applications using Docker, orchestrate with Kubernetes (EKS/ECS), and maintain automated CI/CD pipelines. Implement monitoring and observability using CloudWatch, Grafana, telemetry frameworks, including experiment tracking tools like MLflow and Weights & Biases. Research, prototype and implement AI/ML solutions using Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO, including LoRA/QLoRA fine tuning, RLHF, and multi modal AI/ML systems. Collaborate with team members to optimise platform and AI/ML workflow performance, reliability, and scalability. Ensure compliance with security, accessibility, performance, and operational standards. Participate in agile ceremonies, contribute to team knowledge sharing, and support process improvements. Support disaster recovery procedures and maintain high availability, resilient system standards. Key Responsibilities / Essential Criteria - Skills and Attributes for Success Technical: Python 3.9+, object oriented programming, async/await, decorators, context managers, structured logging, pytest, performance optimisation. Data processing: Pandas, NumPy, SQL, SQLAlchemy / psycopg2, ETL orchestration (Apache Airflow, Dagster, Temporal.io). AI/ML frameworks: Transformers / Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO; model fine tuning (LoRA/QLoRA), RLHF, experiment tracking (MLflow, Weights & Biases). Web/API development: FastAPI, RESTful APIs, WebSockets, authentication/authorisation (JWT, OAuth 2.0, API keys), API versioning, documentation, model serving endpoints. Cloud & DevOps: AWS Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch; infrastructure as code with CDK, Terraform, CloudFormation; Docker, Kubernetes (EKS/ECS); CI/CD pipelines. Monitoring & Observability: CloudWatch, Grafana, telemetry frameworks for production systems. System Design: event driven and microservices architectures, high availability, resilient systems, multi modal AI/ML systems. Professional software engineering practices: Git workflows, unit/integration testing, code review, agile delivery (Scrum/Kanban). Experience: Developing production grade AI/ML and data platforms, ensuring reliability, maintainability, and performance for public sector services. Designing, building, and operating scalable ETL/data pipelines handling structured and unstructured data. Delivering secure, cloud native AI solutions, integrating with existing infrastructure, managing lifecycle via IaC. Developing, supporting, and integrating APIs and microservices, including AI/ML model serving endpoints. Deploying and operating containerised applications in production, with automated CI/CD and environment management. Implementing monitoring, alerting, and incident response processes for production systems, including AI/ML services. Applying professional software engineering practices collaboratively in multidisciplinary teams to deliver services iteratively. Behaviours Managing a Quality Service Takes responsibility for the design, delivery, and ongoing operation of secure, resilient, and high performing AI/ML platforms, implementing monitoring, incident management, and continuous improvement to ensure services consistently meet user needs and agreed service levels. Working Together Works collaboratively within multidisciplinary teams, partnering with engineers, architects, and stakeholders to translate business and technical requirements into practical AI/ML solutions, sharing knowledge and contributing to collective delivery outcomes. Delivering at Pace Plans and delivers complex AI/ML technical work across multiple priorities, using automation, CI/CD, and agile practices to release reliable platform capabilities quickly while managing risk and maintaining service stability. Stage one - Application Process To apply, click on "Apply now" and complete the online application form. You will need to submit: A CV outlining your career history and how you meet the technical/experience criteria (max 4 pages). Responses to the application questions explaining how you meet the required technical/experience aspects of the role (maximum 200 words per answer). Please note: If we receive a high volume of applications, we may complete an initial sift on technical/experience criteria, as evidenced by your responses to the questions. Applications that are not accompanied by CVs or responses exceeding 200 words per question will not be considered. We strongly advise you to write your statement in the STAR format and prepare your answers using software such as MS Word or Google Docs, and then upload the file. . click apply for full job details
We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers create the pipelines and tables that power business-critical dashboards, enable self-service analytics, and fuel advanced machine learning models and real-time data products. Working with cutting-edge tools like DBT, Spark, and Airflow, you'll transform high-volume raw event data into user-friendly, high-impact datasets. We work cross-functionally with Machine Learning Engineers, Data Scientists and BI Developers, driving data-driven decisions across the business. Our engineers enjoy autonomy, innovation, and continual learning, with structured progression paths and access to training resources. As a Senior Data Engineer at Trainline, you will Design and build scalable data pipelines, data models, and feature stores to support analytics and ML workloads. Deploy and manage cloud-native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases. Ensure the technical quality, performance, and reliability of production grade data pipelines through strong observability and engineering best practices. We'd love to hear from you if you Have strong experience in Python and SQL. Have experience building Data Pipelines for downstream ML Workloads. Are skilled in data modelling and building optimised and efficient data marts and warehouses in the cloud. Have built data pipelines with tools like Spark, Airflow, and AWS or similar tooling. Work with modern data formats such as Parquet and Iceberg for efficient storage and querying in our data lake. Are comfortable working with both real time and batch data workloads, applying modern data transformation and orchestration patterns. Have worked with Infrastructure as Code (Terraform) and containerization (Docker) to automate and standardise deployments. Have contributed to or maintained CI/CD pipelines (Jenkins, GitHub Actions) as part of production grade data systems. Enjoy solving complex data problems and collaborating in a fast moving environment. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2 for 1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12 week period. We also have a 28 day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Feb 27, 2026
Full time
We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers create the pipelines and tables that power business-critical dashboards, enable self-service analytics, and fuel advanced machine learning models and real-time data products. Working with cutting-edge tools like DBT, Spark, and Airflow, you'll transform high-volume raw event data into user-friendly, high-impact datasets. We work cross-functionally with Machine Learning Engineers, Data Scientists and BI Developers, driving data-driven decisions across the business. Our engineers enjoy autonomy, innovation, and continual learning, with structured progression paths and access to training resources. As a Senior Data Engineer at Trainline, you will Design and build scalable data pipelines, data models, and feature stores to support analytics and ML workloads. Deploy and manage cloud-native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases. Ensure the technical quality, performance, and reliability of production grade data pipelines through strong observability and engineering best practices. We'd love to hear from you if you Have strong experience in Python and SQL. Have experience building Data Pipelines for downstream ML Workloads. Are skilled in data modelling and building optimised and efficient data marts and warehouses in the cloud. Have built data pipelines with tools like Spark, Airflow, and AWS or similar tooling. Work with modern data formats such as Parquet and Iceberg for efficient storage and querying in our data lake. Are comfortable working with both real time and batch data workloads, applying modern data transformation and orchestration patterns. Have worked with Infrastructure as Code (Terraform) and containerization (Docker) to automate and standardise deployments. Have contributed to or maintained CI/CD pipelines (Jenkins, GitHub Actions) as part of production grade data systems. Enjoy solving complex data problems and collaborating in a fast moving environment. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2 for 1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12 week period. We also have a 28 day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Job Description We're looking for an exceedingly talented Senior Support Analyst to work as part of the Risk Intelligence Engineering Support team. As a Senior Support Analyst in the team, you'll be responsible for the technical direction of our Risk Products, ensuring that we are using appropriate technologies and helping drive initiatives to bring customer value and efficiency in operation. You'll work closely with architects to ensure that technical choices are aligned with the overall architecture of our products.This role includes participation in an on-call rotation to support critical production systems outside of regular business hours. Candidates should be prepared to respond to incidents, troubleshoot issues, and coordinate with relevant teams to ensure service continuity and minimal downtime.Mentoring members of the team also forms a crucial part of the role, working alongside the team management to ensure that the team has the capabilities it needs to deliver. Main Responsibilities / Accountabilities: Review, analyse, and modify software systems as needed acting as Senior Support Analyst. Determining project requirements and developing work schedules for the team. Analysing existing operations and scheduling training sessions and meetings to discuss improvements. Produce scripts/scripting to integrate with team's automated process and tooling for build/deploy is an added advantage Lead groups of engineers and management to coordinate and deliver larger developments. Collaborate with users and other IT teams to maintain, develop and deploy the best solutions Establish technology standards with the team and other development managers Create, review, and maintain all required technical documentation to ensure supportability and reuse Review work of peers and more junior developers. Collaborate with other stakeholders like, SRE, Dev teams and provide timely support to fix the issues. Assist with improvements to prevent problems, including problem resolution workflow. Actively participate in team and status meetings, providing timely status updates for areas of individual responsibilities within projects to supervisor Key Relationships: Developers/Managers/Product Business Analysts Agile team members Essential Skills/Experience Required: 6-8 Years of experience, leading technical support teams. Excellent technical, diagnostic, and troubleshooting skills. Proven experience with Java based Application Support environment Experience in Java/J2EE development / support projects Working experience with Release process and CI/CD pipelines Understanding of software development lifecycle & related infrastructure: issue tracking, version control, continuous integration is an added advantage. Knowledge of the Java language and underlying JVM is desirable. Knowledge of AWS Cloud Technologies is an added advantage. Self-starter - does what it takes to get the job done. Excellent communication skills, verbal and written. Skill for writing clean, readable code and reusable Java libraries is desirable. Proficient in using source code management tools such as Git. Experienced in a formal agile software development lifecycle. Experience in using Jira, Confluence, ServiceNow, AWS Cloud, GitLab Pipeline, EKS. Nice to have : Exposure to Python and experience working in polyglot environments. This helps in cross-functional collaboration and system-level design across diverse tech stacks Education/ Certifications: A good relevant degree is desirable, but experience and the right approach to work are just as meaningful. Benefits We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!We enhance each employee's potential through personal development through a wide range of learning tools both formal and informal.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.Proud to share LSEG in the India is Great Place to Work certified (Jun '25 - Jun '26).Learn more about life and purpose of our company directly from India colleagues' video: Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation
Feb 27, 2026
Full time
Job Description We're looking for an exceedingly talented Senior Support Analyst to work as part of the Risk Intelligence Engineering Support team. As a Senior Support Analyst in the team, you'll be responsible for the technical direction of our Risk Products, ensuring that we are using appropriate technologies and helping drive initiatives to bring customer value and efficiency in operation. You'll work closely with architects to ensure that technical choices are aligned with the overall architecture of our products.This role includes participation in an on-call rotation to support critical production systems outside of regular business hours. Candidates should be prepared to respond to incidents, troubleshoot issues, and coordinate with relevant teams to ensure service continuity and minimal downtime.Mentoring members of the team also forms a crucial part of the role, working alongside the team management to ensure that the team has the capabilities it needs to deliver. Main Responsibilities / Accountabilities: Review, analyse, and modify software systems as needed acting as Senior Support Analyst. Determining project requirements and developing work schedules for the team. Analysing existing operations and scheduling training sessions and meetings to discuss improvements. Produce scripts/scripting to integrate with team's automated process and tooling for build/deploy is an added advantage Lead groups of engineers and management to coordinate and deliver larger developments. Collaborate with users and other IT teams to maintain, develop and deploy the best solutions Establish technology standards with the team and other development managers Create, review, and maintain all required technical documentation to ensure supportability and reuse Review work of peers and more junior developers. Collaborate with other stakeholders like, SRE, Dev teams and provide timely support to fix the issues. Assist with improvements to prevent problems, including problem resolution workflow. Actively participate in team and status meetings, providing timely status updates for areas of individual responsibilities within projects to supervisor Key Relationships: Developers/Managers/Product Business Analysts Agile team members Essential Skills/Experience Required: 6-8 Years of experience, leading technical support teams. Excellent technical, diagnostic, and troubleshooting skills. Proven experience with Java based Application Support environment Experience in Java/J2EE development / support projects Working experience with Release process and CI/CD pipelines Understanding of software development lifecycle & related infrastructure: issue tracking, version control, continuous integration is an added advantage. Knowledge of the Java language and underlying JVM is desirable. Knowledge of AWS Cloud Technologies is an added advantage. Self-starter - does what it takes to get the job done. Excellent communication skills, verbal and written. Skill for writing clean, readable code and reusable Java libraries is desirable. Proficient in using source code management tools such as Git. Experienced in a formal agile software development lifecycle. Experience in using Jira, Confluence, ServiceNow, AWS Cloud, GitLab Pipeline, EKS. Nice to have : Exposure to Python and experience working in polyglot environments. This helps in cross-functional collaboration and system-level design across diverse tech stacks Education/ Certifications: A good relevant degree is desirable, but experience and the right approach to work are just as meaningful. Benefits We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!We enhance each employee's potential through personal development through a wide range of learning tools both formal and informal.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.Proud to share LSEG in the India is Great Place to Work certified (Jun '25 - Jun '26).Learn more about life and purpose of our company directly from India colleagues' video: Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation
