176 to 200 of 326 Validation Jobs in London

all regulatory domains and global jurisdictions including UK, EU, APAC, and North America. Establish regulatory reporting calendars, schedules, and submission tracking systems for all regions. Coordinate regulatory data collection, validation, and quality assurance processes across global operations. Lead preparation and submission of regulatory returns, notifications, and ad-hoc reporting requirements across multiple jurisdictions. Coordinate regulatory notification requirements for businesschanges, incidents More ❯

Assurance & Risk to help embed trust, safety, and responsibility into AI adoption across high-security projects. Key Responsibilities: Implement AI risk management and assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we're looking for: Active More ❯

Assurance & Risk to help embed trust, safety, and responsibility into AI adoption across high-security projects. Key Responsibilities: Implement AI risk management and assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we’re looking for: Active More ❯

data solutions using AWS cloud technologies with Databricks or Snowflakes platform Tools: for data transformation like Calibra, Qlik, Sigma, Power Platform Data Engineering : ETL/ELT pipeline development, data validation using DVT, and data quality frameworks Database Technologies : Advanced expertise in PostgreSQL and Databricks or Snowflake for data warehousing and analytics AWS Cloud Platform : Expert proficiency in S3, Glue, Lambda More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

technical stakeholders. Identify what's working well in the app and recommend improvements. Ensure smooth integration of Swift/Swift UI features into the app. Support app testing and validation of new features. Requirements: Proven experience in iOS development (Swift, Swift UI) . Strong background in SQL (data processing, manipulation, and pipelining). Ability to analyse and transform data for More ❯

data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including More ❯

work iteratively through a series of prototypes to deliver a production-grade solution. Develop and execute test plans for high-speed optical transceivers across the full product lifecycle (prototype, validation, production). Now is an exciting time to join a developer of new technologies Experience: In this Senior role, you should have experience with the following: Strong hands-on experience More ❯

to the Calypso upgrade process, ensuring seamless integration and minimal impact to existing workflows. Document workflows, specifications, and system configurations for effective knowledge transfer and maintenance. Perform system testing, validation, and troubleshooting of Calypso-related processes across cash and derivative instruments. Work with technology teams to deliver enhancements and ensure robust data integration and process automation. Provide user support and More ❯

technical assurance across mission systems, edge AI deployments, and operational rollouts. Translate operational needs into practical assurance criteria based on leading frameworks and regulations. Support test, evaluation, verification, and validation (TEV&V) methods for edge-based AI. Advise projects on safety, resilience, and human factors in AI adoption. Guide assurance of autonomous/semi-autonomous platforms , aligned with MOD Ethical More ❯

systems and cloud platforms. Strong hands-on knowledge of Azure integration services (Logic Apps, Azure Functions, Service Bus, API Management). Experience with REST API testing, Swagger/OpenAPI validation, and API test automation. Solid background in non-functional testing, including performance, security, and resilience testing. Capability in DevOps testing, with the ability to embed test automation into CI/ More ❯

as ISO 15118, OCPP, or IEC 61850. Exposure to embedded Linux environments (Yocto) and integration of V2G edge devices with cloud backends. Scripting skills in Python for test automation, validation, or production line support. Background in energy metering (active/reactive power), grid synchronisation (PLL), and safety-critical firmware development (ASIL, SIL, etc.). More ❯

execution for data migration, master data management, and integrations, alongside HR modules (Core HR, Talent, Payroll, Time & Attendance, Learning) Support key decisions around system configuration, testing approach, and performance validation Serve as the main link between senior business stakeholders, IT, and delivery partners Lead, mentor, and guide project managers, business analysts, and change teams to ensure successful outcomes Create and More ❯

execution for data migration, master data management, and integrations, alongside HR modules (Core HR, Talent, Payroll, Time & Attendance, Learning) Support key decisions around system configuration, testing approach, and performance validation Serve as the main link between senior business stakeholders, IT, and delivery partners Lead, mentor, and guide project managers, business analysts, and change teams to ensure successful outcomes Create and More ❯

and cloud platforms. Hands-on knowledge of Azure integration services such as Logic Apps, Azure Functions, Service Bus, and API Management. Experience with REST API testing, Swagger/OpenAPI validation, and API test automation. Background in non-functional testing, including performance, security, and resilience testing. Ability to embed test automation into CI/CD pipelines using Azure DevOps, GitHub Actions More ❯

execution for data migration, master data management, and integrations, alongside HR modules (Core HR, Talent, Payroll, Time & Attendance, Learning) Support key decisions around system configuration, testing approach, and performance validation Serve as the main link between senior business stakeholders, IT, and delivery partners Lead, mentor, and guide project managers, business analysts, and change teams to ensure successful outcomes Create and More ❯

execution for data migration, master data management, and integrations, alongside HR modules (Core HR, Talent, Payroll, Time & Attendance, Learning) Support key decisions around system configuration, testing approach, and performance validation Serve as the main link between senior business stakeholders, IT, and delivery partners Lead, mentor, and guide project managers, business analysts, and change teams to ensure successful outcomes Create and More ❯

users Translate the product vision into a clear roadmap, requirements and prioritised user stories Manage the product backlog and partner with Engineering to plan and ship increments Lead discovery, validation and business casing for new ideas and features Own product analytics and use insights to drive continuous improvement Deliver against commercial KPIs including revenue, profit and operational metrics Define and More ❯

users Translate the product vision into a clear roadmap, requirements and prioritised user stories Manage the product backlog and partner with Engineering to plan and ship increments Lead discovery, validation and business casing for new ideas and features Own product analytics and use insights to drive continuous improvement Deliver against commercial KPIs including revenue, profit and operational metrics Define and More ❯

users Translate the product vision into a clear roadmap, requirements and prioritised user stories Manage the product backlog and partner with Engineering to plan and ship increments Lead discovery, validation and business casing for new ideas and features Own product analytics and use insights to drive continuous improvement Deliver against commercial KPIs including revenue, profit and operational metrics Define and More ❯

vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis. - Provide technical leadership and research new machine learning approaches to drive continued scientific innovation. - Work in a collaborative environment with other scientists, engineers, product managers and cross More ❯