1 to 25 of 38 Model Validation Jobs in the UK excluding London

drives everything we do and one we're proud of. And you can play your part too join our dedicated Risk team as our Model Validation Specialist. How you'll make a difference You will perform independent model validation reviews and oversight of the Society … they are conceptually sound, appropriately implemented, and are compliant with internal policies and external regulations. In addition, the role will support with the independent validation of other financial models performed within the team, as required. What will you bring to the role? Knowledge and experience of using Python ...

designing and implementing AI-driven solutions, with a focus on document intelligence, automation, and scalable AI workflows. Aligned to an outcome-based delivery model, the role ensures AI capabilities are production-ready, validated, and integrated into enterprise systems to deliver measurable business value. Responsibilities: Design and build AI-driven … data governance, and security standards. Build and optimise AI pipelines for extraction, transformation, and validation. Ensure accuracy, quality, and performance of AI outputs. Implement validation frameworks and tracking for AI model performance. Deploy AI services through secure APIs into production environments. Embed QA and governance practices into ...

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate … risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

Proven track record building predictive models in regulated financial services environments. Credit risk modelling experience, including PD models, scorecards or similar. Strong understanding of model governance, validation and audit requirements. Experience with GDPR and AI governance frameworks. Key responsibilities Build and deploy predictive and credit risk models. Lead … exploratory data analysis, feature engineering, model validation and monitoring. Develop forecasting, simulation and stress-testing models. Work with data engineering teams to create modelling-ready datasets using Snowflake. Ensure models and processes meet regulatory and governance standards. Collaborate closely with product and business stakeholders to deliver data-driven ...

Model Developer (Contract) London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery … engaged in the outcomes of the work. The Role and Deliverables Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle. Build modelling datasets, feature engineering processes, and variable transformations. Develop model logic, segmentation rules, scoring code, and scenario analysis. Carry ...

transform and curate data in Azure Data Lake Storage (ADLS) and Delta Lake. Implement data modelling, quality and governance: Develop scalable data models, apply validation/quality checks, and follow governance practices to ensure reliable and auditable data products. Enable AI/ML and analytics use cases: Prepare curated ...

years of experience in propulsion system development or a similarly demanding engineering environment. Strong expertise in propulsion system modelling, static and transient analysis, and model validation Equivalent modelling software Experience supporting full product development lifecycles, including requirements definition, detailed design, qualification, production, and acceptance testing. Strong understanding ...

explain complex analysis clearly. Support modelling tasks such as clustering, segmentation, site scoring, similarity matching and offer-fit analysis. Help validate results, sense-check model outputs and explain to a non technical audience Contribute reusable code and documentation that reduces manual rework on future projects. Collaborate with colleagues through ...

models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/semantic) Data validation and quality assurance Understanding of data lineage and traceability Familiarity with BI tools (Power BI, Tableau, etc.) Python (desirable, not essential) What Makes ...

platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration/agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow ...

building resilient, high-performing AI systems AI Governance & Risk Drive responsible and ethical AI adoption through robust governance frameworks Oversee AI lifecycle management, including model validation, monitoring, and risk controls Ensure compliance with regulatory standards and third-party vendor requirements Collaboration & Enablement Work closely with engineering, data ...

rapidly evolving industry. SCOPE OF THE ROLE In this role as a Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with ...

rapidly evolving industry. SCOPE OF THE ROLE In this role as a Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with ...

support to help members to develop their domain expertise. The System Architect is responsible for defining the solution and system architecture (including models, decisions, validation, evolution and delivery support), working with the customer and any subcontractors to identify, trade-off and design the overall architecture. Architects assist with ...

people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

predictive, analytical, and decisioning solutions. Use Python, Spark, and relevant data tools to clean, transform, explore, and analyse datasets. Support the development, testing, and validation of machine learning models, business metrics, dashboards, and decisioning logic. Apply foundational statistical and machine learning techniques to help solve business problems and improve … clarify assumptions, and translate problems into analytical tasks. Communicate analysis, methods, and results clearly through written summaries, visualisations, presentations, and documentation. Help validate data, model outputs, metrics, and reports to ensure results are accurate, reliable, and explainable. Contribute to scalable and repeatable data science processes, including data preparation, workflow ...

they can be applied to our products Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality ...

Computer Science or a related quantitative discipline or BSc with >2 years of professional experience as a data scientist (or similar) Strong understanding of model development, validation , and deployment in research or production settings Able to deliver production quality data science code Able to work autonomously , quickly understand ...

extraction, plus concise text summarisation. Experience Requirements Core semantic/graph tech W3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL , SPARQL for modelling, validation and querying. Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores. Ontology and knowledge graph frameworks ...

based backend applications and services, with a strong emphasis on REST API design and implementation using FastAPI. You will work with Pydantic for schema validation and SQLite for lightweight relational data storage, ensuring high-quality, maintainable, and well-tested code. The position requires close collaboration with a diverse team ...

looking to recruit for a Contract Data Analyst to join their client for an exciting position that combines data science with practical testing and validation activities. This is fulltime onsite role working in the offices 5 days a week and is OUTSIDEIR35. Key Responsibilities: Collect, manage, and maintain sensor … collection. Cleanse, validate, and quality-check data to ensure accuracy and integrity. Support the development, refinement, and testing of machine learning models. Conduct practical validation activities to assess model accuracy and performance. Compare model outputs against real-world test results and recommend improvements. Create and maintain Standard ...

stack including: SQL, Python, Power BI, Microsoft Fabric and Azure About the Opportunity You will begin with broad exposure across data systems, including testing, validation and analysis, before progressing into a more specialised data role. This approach builds a strong foundation and sets you up for long-term success. … similar reporting tools Basic knowledge of Python or DAX Exposure to Azure, Microsoft Fabric or cloud data platforms Awareness of data quality processes, validation or testing Experience or interest in financial services or regulated environments What You'll Be Doing Build and maintain reports and dashboards used across ...

Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting … skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication ...

ingest, transform and curate data in cloud-based storage and analytics platforms. Implement data modelling, quality and governance: Develop scalable data models, apply validation/quality checks, and use AI-assisted techniques to propose test cases, validation rules and anomaly explanations (with human review) to ensure reliable ...