51 to 75 of 260 Model Validation Jobs in the UK

sensing systems Applied mathematics and optimisation Data analysis and statistical inference Algorithm development and evaluation Decision-support and analytical methods Digital engineering and model-based approaches Emerging technologies, including quantum-enabled methods where appropriate Experimental analysis and model validation You will typically work as part of multidisciplinary ...

models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITIONWe are seeking a senior leader in MLOps Engineering to join Computational Innovation's AI Accelerator (@computationalinnovation). In this role … move efficiently from experimentation to reliable production deployment and support. You will define the tooling, platforms and engineering practices that enable large-scale model training, experiment tracking, deployment, monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards, help ...

through code reviews, technical design, and pairing with peers and junior engineersEstablishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standardsActs as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them … services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent ...

create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what … occasional international travel, as engagements benefit from itExperience within financial services, particularly wealth, private banking, or asset managementExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial ...

requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making. Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent). This ...

cross‐functional team of software engineers (and closely partnered OR/data science specialists). Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e.g. recovery planning, re‐optimisation, what‐if analysis). Drive architecture and design decisions for services … down ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g. Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. ...

analysis (regulatory and economic) for Chaucer’s managed Lloyd’s syndicates. Delivery of the syndicate SCR, taking responsibility for specific areas of the internal model, producing and validating model outputs. Involved in model and MI development as well as use of the capital model throughout … decisions as required;* Produce and develop management information for the interpretation and presentation of modelled results to various groups within Chaucer, including Risk and Model Working Groups and ad-hoc forums with senior management as required* Assist in the ongoing development (incl. Igloo coding) and parameterisation of the Internal ...

cycle, from discovery through deployment and monitoring. Collaborate with engineering and platform teams to operationalise models and workflows. Contribute to best practices in experimentation, model validation, governance, and reproducibility. Required Skills and Experience Proven experience in data science and machine learning roles. Strong experience working with text analytics … supervision. Strong programming skills in Python and common data science libraries (eg pandas, scikit-learn, TensorFlow/PyTorch, spaCy, Hugging Face). Experience with model evaluation, experimentation, and statistical methods. Ability to communicate complex analytical concepts clearly. Active SC Clearance (must be in place before start date). Desirable ...

technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams … inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/ ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery.ResponsibilitiesThe Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services … client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services.The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes ...

OECD AI Principles, IEEE Ethically Aligned Design, and the EU Ethics Guidelines for Trustworthy AI Technical and Implementation Experience: * Conducted AI risk assessments, model validation, and algorithmic impact assessments across multiple use cases and industries * Implemented AI governance tools and platforms (e.g., model registries, monitoring solutions, bias ...

strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.Creating production-ready Python packages for each component of data science pipelines (such … processing and model inference) and their deployment together with software engineering teamOptimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrievalIngesting, preprocessing, and transforming large-scale multilingual data to ensure high-quality inputs for downstream models.Building ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support … professional services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria ...

environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud ...

governance. Highest-signal resume keywords Data Science Machine Learning Python GCP Native Tools Data Analysis ATS Optimization Keywords Hard Skills Data Analysis Customer Analytics Model Building Forecasting Segmentation Data Visualization Statistical Analysis Data Governance Performance Optimization Financial Metrics Soft Skills Intellectual Curiosity Influencing Stakeholders Collaboration Challenging Status Quo User ...

simplify how the firm handles financial regulatory reporting. We are creating a unified, scalable cloud-based platform using common data models and reusable validation and exception workflows to replace fragmented legacy processes. Engineers on the team leverage cutting edge AI tooling to accelerate development of automated workflows to ensure ...

within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity with observability and monitoring platforms. Knowledge ...

quantitative solutions, provide ongoing production support including incident triage and root-cause analysis.Own end-to-end delivery with Technology on implementation, testing and deployment.Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring.Required qualification, capabilities, and skillsAdvanced degree ...

provide ongoing production support including incident triage and root-cause analysis. Own end-to-end delivery with Technology on implementation, testing and deployment. Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring. Required qualification, capabilities, and skills Advanced ...

Cyber Risk analyticsStrong data management, governance, and lineage capabilitiesAbility to translate complex analytics into business insights and decisionsProficiency in data visualisation and storytellingUnderstanding of model governance, validation, and explainabilityFamiliarity with AI, prompt engineering, and large language model (LLM) applicationsStrong stakeholder engagement and communication skills in complex environmentsQualificationsBachelor … fieldProfessional certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirableAdditional certifications in risk analytics, operational risk, or model risk management are advantageousProven years of experience in data science, advanced analytics, or quantitative roles, ideally within financial services or regulated environmentsAbout Standard CharteredWe ...

data management, governance, and lineage capabilities Ability to translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills … certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirable Additional certifications in risk analytics, operational risk, or model risk management are advantageous Proven years of experience in data science, advanced analytics, or quantitative roles, ideally within financial services or regulated environments About ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through ...

management across Front Office, Risk, Technology, and Finance. Demonstrated ability to combine strategic thinking with practical execution. Deep experience working with Quants, Market Risk, Model Validation, and regulatory stakeholders. Robust technical grounding, with the ability to rapidly understand highly‐detailed architectures, data flows, and system integrations. Experience across ...

management across Front Office, Risk, Technology, and Finance. Demonstrated ability to combine strategic thinking with practical execution. Deep experience working with Quants, Market Risk, Model Validation, and regulatory stakeholders. Robust technical grounding, with the ability to rapidly understand highly‐detailed architectures, data flows, and system integrations. Experience across ...