126 to 150 of 419 Model Validation Jobs in the UK

next. Key Responsibilities & Skills ** Develop predictive models and forecasts to identify potential future outcomes and emerging trends ** Applying Bayesian modelling, uncertainty estimation and statistical validation ** Carry out segmentation and subgroup analysis to identify meaningful differences and patterns ** Analyse longitudinal and time-series data to understand how outcomes change over ...

designing and implementing Agentforce and Agentic AI solutions. Strong Salesforce administration, configuration, implementation, and development experience. Expertise in Salesforce customisation, security models, workflow approvals, validation rules, and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce pages, and web services. Experience developing and supporting Salesforce integrations using ...

other consulting firms, and will help drive the business forward from day one. Skills to be successful: 8–10 years in CCR and XVA model development and analytics, ideally including consultancy, with a track record of leading teams, complex projects and non-trivial systems end to end. Master ...

computer-based modelling and simulation Experience of Powertrain system, engine and aftertreatment physical test and/or calibration Proven success in complex system model validation, optimisation and correlation Experience in 1D vehicle and powertrain system model development Education Degree qualified in Mechanical Engineering, Automotive Engineering, or related ...

Foundation Model Engineer Cambridge | Competitive salary + benefits About the Company Our client is a well-funded, mission-driven organisation working at the forefront of AI development. Led by an experienced team of founders, investors and engineers, they are focused on building safe, responsible AI systems and are growing … quickly from a Cambridge base. The Opportunity Our client is investing heavily in their machine learning infrastructure and compute capability to accelerate model development and inference. This is a chance to join at an early stage and work across the full AI lifecycle, from experimentation through to scalable deployment ...

across platforms such as Relativity, Epiq AI, Reveal AI, and other advanced review or analytics platforms.* Develop and refine prompts, instructions, classification criteria, and model guidance for generative AI and LLM-enabled tools, with a focus on consistency, quality, defensibility, and practical review outcomes.* Advise clients and internal teams … appropriate use cases, limitations, risks, defensibility considerations, and quality control measures for AI-enabled review workflows.* Explain statistical concepts, validation methodologies, sampling approaches, model performance, and review metrics to audiences with varying levels of technical, legal, and operational knowledge.* Demonstrate a strong understanding of the full eDiscovery lifecycle ...

cross-asset workflows. What's the role? We are looking for a senior product manager to run IPQA's analytics architecture and drive model delivery at scale, ensuring our analytics continue to lead as client and market needs evolve. You will work at the intersection of quantitative finance, engineering … clients across Terminal, Enterprise Data and Enterprise Products. At the core of this role is a founding conviction: analytics at scale require a model-agnostic design, where the architecture enforces consistency and transparency across models, asset classes and client workflows. You will work closely with our quant and engineering ...

build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. … using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs ...

Bank of America in London is seeking a Quantitative Finance Analyst (up to Vice President) to join the Enterprise Model Risk Management team. You will validate and challenge models, collaborate with developers and validators, and contribute to regulatory requests and reviews. The role requires advanced technical degrees and strong ...

ready insights grounded in trusted data and established metrics.**About the role:** We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).* Analyse large-scale IP datasets to extract insights and improve model performance.* Establish best practices for model evaluation, validation, and benchmarking.* Translate experimental results into clear product recommendations and business impact.* Collaborate with ...

JPMorgan Chase & Co. is seeking a Quant Modeling Associate/VP to join the Model Risk Governance and Review team. You will assess and mitigate model risk for electronic trading models, collaborating with developers and users across the firm. The role offers exposure to valuation, risk measurement, capital … calculations, and related decision-making. Candidates should have strong quantitative training and experience in model validation and front office contexts. #J-18808-Ljbffr ...

anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. … models within financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability to work directly ...

genomic data analysis for the Human Genetics Programme. You will shape analytical strategy, work with statisticians and analysts, and contribute hands-on modeling and validation for clinical use. The role demands a PhD, strong track record in AI/ML for high-dimensional data, and experience with large-scale ...

making and emerging AI use cases. The role combines hands-on delivery with leadership of an analytics engineering squad, setting standards for data modelling, validation and usage across the Lending domain and #J-18808-Ljbffr ...

Meridian is building a fundamentally new model for sovereign space infrastructure—delivering complete, owned Low Earth Orbit (LEO) satellite constellations that provide governments and commercial operators with full control, assured access, and sovereign communications capability at a fraction of the cost of developing these systems independently. Backed by leading ...

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 Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

Foundation Model Engineer Cambridge | Competitive salary + benefits About the Company Our client is a well-fund‐ed, mission‐driven organisation working at the forefront of AI development. Led by an experienced team of founders, investors and engineers, they are focused on building safe, responsible AI systems … growing quickly from a Cambridge base. The Opportunity Our client is investing heavily in their machine learning infrastructure and compute capability to accelerate model development and inference. This is a chance to join at an early stage and work across the full AI lifecycle, from experimentation through to scalable ...

Location: Can be considered for Cambridge OR Munich Overview We are looking for a Modelling and Simulation Engineer to own the integrated vehicle model for a new interceptor. You will define its architecture, build component models, and integrate models from across the engineering team. You will make the simulation … trusted, repeatable, and useful from concept design through flight test. Responsibilities Own the integrated 6-DoF vehicle model and its technical roadmap Define the model architecture, interfaces, fidelity and configuration strategy Build models for actuators, sensors, launchers and other vehicle components Integrate GNC algorithms and component models supplied ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

Title Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats Location London Corporate Title Vice President Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help … deliver the efficiency, control, and transformation goals of the Bank. You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong ...

stakeholders to understand business problems and define analytical approaches Leading data discovery sessions and gathering requirements from subject matter experts Presenting insights, recommendations and model outputs to both technical and non-technical audiences Monitoring, refining and retraining models to ensure ongoing performance Collaborating with analysts, project managers and industry … Science experience within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks ...