10 of 10 Validation Jobs in Westminster

behaviours for complex digital services Create high-fidelity prototypes to communicate interaction logic, validate design decisions, and support delivery Define micro-interactions, system states, validation patterns, and edge cases to ensure robust user experiences Apply and extend design systems, including the GOV.UK Design System, contributing reusable components and patterns Collaborate ...

/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability to communicate complex findings to non-technical audiences ...

criteria and operational procedures. Analysing and documenting API integrations between JSM, HubSpot and other systems, ensuring alignment with the wider technology environment. Supporting solution validation, testing and UAT, preparing training materials and identifying delivery risks and dependencies. Collaborating with the Product Manager and technical teams to deliver business requirements ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of our client's proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank or pricing ...

data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued ...

renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cybersecurity ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of our client's proprietary models Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Be part of the first line of support for the wider Athena Core … Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

forums, communities of practice, guilds, and conferences Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … level objectives, alerting, and telemetry collection Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity. Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life … Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and execution of Technology Lifecycle Management (TLM) and modernization outcomes tied ...