26 to 48 of 48 Model Validation Jobs in the UK

strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. Responsibilities 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 ...

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 TradingHub’s proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank or pricing ...

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 ...

drug development programs. You will be accountable for building end‐to‐end clinical AI/ML solutions—from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments that support clinical trials and regulatory decision‐making. The AI/… powered products. Advanced Python programming skills and a track record of delivering robust software solutions. Proficiency with standard deep learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). Strong product ...

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 ...

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 ...

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 ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

data science project lifecycle: develop, deploy, monitor, and scale models through the full Software Development Life Cycle, perform exploratory data analysis, proof‐of‐concepts, model benchmarking, and validation experiments for both ML and GenAI approaches, partner with business leaders, domain experts, and end‐users to gather requirements ...

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 ...

Data Scientist Knowsley - 3 days a week The Company They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability ...

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 ...

Senior Quantitative Developer/Research & Data Engineer Research & Data Engineer UNITED KINGDOM Senior Quantitative Developer/Research & Data Engineer - LONDON - UNITED KINGDOM Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed ...

capture, analyse, document, and prioritise business requirements and functional specifications across Legal, Compliance, Technology, and Operations. Contribute to future‐state business architecture and operating model design to support new and existing Blockchain/DLT use cases. Collaborate with cybersecurity, risk, and controls teams to implement governance and regulatory requirements … evidence needed for approvals. Drive documentation and delivery of end‐to‐end business workflows for tokenisation and on‐chain settlement models, coordinating testing/validation and launch readiness across teams. Monitor internal and external blockchain/DLT capabilities and vendors; synthesise options and trade‐offs (feasibility, maturity, cost, time ...

mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation. Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling … high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency. Candidates from organizations or platforms such as Murex, Calypso, Numerix ...

lead complex system development, and directly influence next-generation electrohydraulic technologies. The Opportunity This is a senior, hands-on technical leadership role focused on model-based design, simulation capability, and system performance. Youll work across the full lifecyclefrom concept development and requirements definition through to integration, validation … capability, maintaining, updating, and validating modelling tools to ensure accuracy and scalability Conduct detailed performance analysis using MATLAB/Simulink, driving engineering decisions through model-based insights Develop simulation and sizing tools to support system architecture and component selection Act as a technical lead in customer engagements, leveraging model ...

aspects of the system lifecycle from initial design through installation to customer handover Requirements for Tempest and EMC. EMC/TEMPEST test plans Modelling, validation and verification The Individual Were looking for people who can show: Familiarity with TEMPEST standards & EMC Standards Knowledge of TEMPEST & EMC test specifications, test … Electrical safety certification Previous exposure to generating test plans for sign-off of electrical equipment installation, preferably with TEMPEST and/or EMC Verification, Validation & integration The Benefits: Hourly rate of circa £70 ph via Umbrella company Training and Development Does this sound like your next career move? Apply ...

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. ...

COMAD is a community‐led workspace platform designed for remote workers, freelancers and modern professionals. Through a flexible membership, users can access co‐working spaces using credits while also engaging in curated events and a ...