26 to 50 of 89 Validation Jobs in the City of London

engineering receives well-scoped specifications. Data Operations & Ground Truth – Manage offshore data-labelling teams, creating and refining annotation guidelines while ensuring quality and throughput targets are met. Oversee creation, validation, and improvement of ground-truth datasets that power our AI models. Audit labelled data to identify and correct errors or inconsistencies. AI Evaluation and Improvement – Define accuracy benchmarks and acceptance More ❯

engineering receives well-scoped specifications. Data Operations & Ground Truth – Manage offshore data-labelling teams, creating and refining annotation guidelines while ensuring quality and throughput targets are met. Oversee creation, validation, and improvement of ground-truth datasets that power our AI models. Audit labelled data to identify and correct errors or inconsistencies. AI Evaluation and Improvement – Define accuracy benchmarks and acceptance More ❯

navigating security and compliance requirements. Preferred Qualifications Experience with retrieval augmented generation (RAG), fine-tuning, model evaluation, or deploying models in production environments. Understanding of financial risk modeling, model validation, or operational risk frameworks. Knowledge of regulatory frameworks such as DORA, SR 11-7, or Basel III as they relate to AI. Bachelor’s or Master’s in Computer Science More ❯

teams responsible for building a user review sentiment analysis tool. Project manage the platform localisation into key languages. Monitor and improve VGI platform data accuracy , including managing ground-truth validation and discrepancy reporting workflows. Set up and maintain tools to analyse usage behavior and inform roadmap decisions. Gather requirements by interviewing customers, internal stakeholders, and reviewing usage data to understand More ❯

Define and evangelise the product vision and roadmap for your team, ensuring alignment with our company strategy to become an end-to-end workforce planning platform. Drive Rapid Prototyping & Validation : Lead the product discovery process with a bias for action. Rapidly create wireframes, user flows, and high-fidelity interactive prototypes to effectively communicate and validate solutions with users and stakeholders. More ❯

Define and evangelise the product vision and roadmap for your team, ensuring alignment with our company strategy to become an end-to-end workforce planning platform. Drive Rapid Prototyping & Validation : Lead the product discovery process with a bias for action. Rapidly create wireframes, user flows, and high-fidelity interactive prototypes to effectively communicate and validate solutions with users and stakeholders. 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 ❯

the core CMS platforms used for digital signage content delivery Own the product backlog for platform improvements, bug fixes, and feature requests. Conduct and coordinate soak testing, QA, and validation of platforms - especially during updates and new hardware launches Collaborate with content managers to gather feedback and translate it into actionable platform enhancements Maintain detailed documentation of platform capabilities, limitations More ❯

and data requirements. Perform in-depth data analysis to support decision-making and project delivery. Collaborate with technical teams to translate business needs into actionable data solutions. Support testing, validation, and sign-off of data-related deliverables. Key Skills & Experience: Proven Business Analysis experience with a strong focus on data analysis. Background in the oil & gas industry (any area) preferred. 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 ❯

the core CMS platforms used for digital signage content delivery Own the product backlog for platform improvements, bug fixes, and feature requests. Conduct and coordinate soak testing, QA, and validation of platforms - especially during updates and new hardware launches Collaborate with content managers to gather feedback and translate it into actionable platform enhancements Maintain detailed documentation of platform capabilities, limitations More ❯

and data requirements. Perform in-depth data analysis to support decision-making and project delivery. Collaborate with technical teams to translate business needs into actionable data solutions. Support testing, validation, and sign-off of data-related deliverables. Key Skills & Experience: Proven Business Analysis experience with a strong focus on data analysis. Background in the oil & gas industry (any area) preferred. More ❯

cross-functional teams to translate business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) Git – version control for reproducible workflows Time-Series Analysis – spotting risk trends over time EDA More ❯

on migration experience from on-prem Citrix VDI to cloud-hosted DaaS solutions. Strong BA capabilities — able to capture detailed requirements from diverse stakeholders. PoC delivery expertise and technical validation skills. Outstanding organisational skills, vendor management, and stakeholder influence. Confidence navigating high-change environments with speed and precision. 📍 Why you’ll love it: You’ll be at the heart of More ❯

on migration experience from on-prem Citrix VDI to cloud-hosted DaaS solutions. Strong BA capabilities — able to capture detailed requirements from diverse stakeholders. PoC delivery expertise and technical validation skills. Outstanding organisational skills, vendor management, and stakeholder influence. Confidence navigating high-change environments with speed and precision. 📍 Why you’ll love it: You’ll be at the heart of More ❯

and reliability. Reviewing and sign-off critical switching and complex RAMS for electrical work Completing HV/LV Switching, HV SAP Duties supporting AP appointments and managing Authorised Persons Validation of electrical SOP/EOPs Assisting the incident manager and customer operational team with the technical information needed for the incident reports. Assisting the Electrical Engineering Manager in drafting specification More ❯

production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully deployed. Histories of rigorous model validation and performance analysis, with emphasis on avoiding overfitting and managing risk. Qualifications, Licenses And Academic Achievements: Ph.D. in a quantitative field highly preferred. Published research in top-tier academic journals More ❯

finance technology projects, offering subject matter expertise and supporting successful delivery within agreed timescales and budgets Lead the implementation of new features, system upgrades, and customisations, ensuring comprehensive testing, validation, and minimal disruption to business operations Support integration projects between Sage, Concur, and other business systems, working with the Software Engineering team and existing Workato platform Deliver training sessions for More ❯

production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully deployed. Histories of rigorous model validation and performance analysis, with emphasis on avoiding overfitting and managing risk. Qualifications, Licenses And Academic Achievements: Ph.D. in a quantitative field highly preferred. Published research in top-tier academic journals More ❯

technical transition from existing platforms to the new HR system Manage complex data migration tasks, ensuring accuracy and continuity of employee records and historical data Lead data cleansing and validation efforts to improve data quality Ensure smooth transfer of employment data, including contracts, personal details, and historical changes Maintain data connections between integrated systems and ensure reporting continuity Establish updated More ❯

technical transition from existing platforms to the new HR system Manage complex data migration tasks, ensuring accuracy and continuity of employee records and historical data Lead data cleansing and validation efforts to improve data quality Ensure smooth transfer of employment data, including contracts, personal details, and historical changes Maintain data connections between integrated systems and ensure reporting continuity Establish updated More ❯

implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems More ❯

implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems More ❯

and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first time. What will More ❯

Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware. Working on model deployment strategies, including optimizing models More ❯