17 of 17 Contract Model Validation Jobs in England

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 ...

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 ...

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 ...

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 ...

clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation). Needs working ...

mathematical formulation and numerical implementation to performance optimisation and direct contribution to live analytics and trading systems. What You Will Do End-to-End Model Ownership: Independently design, implement, and validate pricing and risk models for complex and exotic OTC derivatives (from math formulation to production rollout). Core ...

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 ...

structured and semi structured datasets Deploying models into production using containerised environments Working closely with stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced … trend evaluation Excellent exploratory data analysis skills Desirable Experience Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion Experience with model explainability tools such as SHAP or LIME Exposure to model monitoring frameworks and drift detection Background in regulatory, risk or financial crime related projects ...

learning models and advanced analytics solutions * Partner with senior stakeholders to identify opportunities where data science can drive commercial impact * Establish best practices for model development, validation, and governance * Deliver measurable outcomes through scalable data science solutions and clear reporting of impact Your Skills & Experience * Strong experience leading ...

metric definitions, data cuts, hypotheses, guardrails, and acceptance criteria. Work with ML teams on AI-driven pricing tools by helping define business requirements, validate model outputs, identify commercial edge cases, and translate recommendations into practical business actions. Help define and interpret success measures, including revenue impact, adoption, customer response … requirement drafting, documentation, and stakeholder communication. Experience working with ML, data science, or advanced analytics teams on AI-driven pricing tools, pricing recommendation engines, model-led decisioning, or similar commercial analytics products. Ability to translate data into practical business recommendations, not just produce analysis. Ability to define analytical requirements ...

premise, and hybrid environments , ensuring scalability, resilience, and security-by-design. Design and support AI and machine learning architecture , including MLOps delivery frameworks , model lifecycle considerations, governance, and deployment patterns. Provide expertise around Large Language Models (LLMs) and Generative AI , including infrastructure considerations, integration approaches, data boundaries, context management … complex enterprise environments. Strong experience designing AI-enabled or research-focused technology platforms . Demonstrable exposure to Machine Learning Operations (MLOps) including deployment models, validation, governance, and operational processes. Experience with Large Language Models (LLMs)/Generative AI , with an understanding of infrastructure and architectural considerations. Strong cloud architecture ...

Cloud Able to review designs, risks, and dependencies without being the primary implementer Familiarity with one or more of: API definition, consistency, suitability and validation Installation, deployment, and upgrade models Validation, and release readiness Please click apply now for more details. ...