26 to 50 of 230 Model Validation Jobs in England

solutions aligned to Army training objectives and enterprise architecture principles. Support the development and maintenance of ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. Monitor deployed … candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation. They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices. The role ...

With Product, Commercial, and Clinical, choose what to build next, weighing clinical value, data, regulatory burden, and commercial pull. With QARA and Clinical, lead validation to prove each model meets its intended use, then work with engineering to get it production-ready. Monitor and maintain - Own model … demonstrable experience building clinical AI within a regulated medical device context. Your playground is pre-/silent/post- deployments, you obsess about continuous validation and you know it’s not about AUROC on a test set and you deeply understand the interplay of intended use with model ...

control frameworks. You will own the global methodology, thresholds, and data-scoring models used to identify and mitigate financial crime typologies, be accountable for model governance and liaison with Model Risk Management, and partner with Product Risk and CDO counterparts on technical control deployments as well … analytics within the compliance ecosystem, including machine learning models and graph databases, while establishing data governance standards to ensure input pipeline integrity.Establish a robust model validation framework to independently test and verify the conceptual soundness, mathematical logic, and regulatory compliance of all financial crime models.Represent Airwallex’s automated ...

have everything we need to work flexibly.The teamThe Quantitative Risk team sits within the independent Group Risk function and provides firmwide oversight of model risk and governance. The team also develops and enhances risk models and oversees the monitoring and control of business-critical tools used across the Group.What … research to review, challenge and validate models used across Schroders’ businesses and all asset classes, including support for new product development.Produce clear, high-quality model validation reports and contribute to the ongoing enhancement of the firm’s model governance framework (policies, standards, controls and documentation).Present validation ...

.* Define the technical vision for AI products, ensuring solutions are **scalable, secure, maintainable, and aligned with business objectives**.* Provide deep expertise in **model development, experimentation, optimization, evaluation, and production deployment**.* Establish standard methodologies for **LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**. … Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.* Guide architectural decisions across **AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities**.* Partner closely with Engineering teams to **productionize AI solutions and drive operational excellence**. ...

infrastructure supporting our cutting-edge AI-infused scenario planning platform.You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency.Your ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes … core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible.Optimise GPU compute workloads, high-speed networking, and storage for efficient model training and low-latency inference.Build and maintain robust CI/CD and MLOps pipelines for continuous model training, evaluation, packaging, and production deployment.Deploy ...

turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve … event-driven automation flows that respond to customer behaviour in real timeDesign integrations with marketing, commerce and service platforms to close the loop between model scores and actionsEnsure automation is scalable, auditable, and aligned with consent and data governance requirementsDelivery & LeadershipLead technical workstreams end-to-end — from design through ...

worldwide, considering regional regulatory nuances and cultural sensitivities. Integrate AI security requirements into security and enterprise architecture, software development life cycles, and model life-cycle management, ensuring consistency and agility across diverse operational regions. Will be part of Security Strategy development and does require interaction with executive business leaders … development, training, and deployment pipelines Define AI & security data governance and access control frameworks for systems Create security-by-design principles for AI model development Design threat models specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create ...

models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend … Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack ...

deployed analytics architectures. Advanced modelling techniques – including integrating previous pre-trained models with simulations or other advanced modelling. Awareness of different solutions for model management that includes model building and deployment. Determines and executes model validation, reproducibility, and deployment criteria. Ability to get results fast - leveraging ...

science, setting best practices and standards across the organization Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting … adoption Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline ...

delivered to a high standard using modern software engineering and MLOps practices. This role is ideal for someone who enjoys balancing hands-on model development with technical leadership, project delivery and helping others grow.You'll also embrace approved AI-enabled ways of working to enhance productivity, accelerate insight generation … improve delivery quality, while applying sound human judgement, responsible AI principles and appropriate governance throughout the model lifecycle.What You'll DoUtilise Python for advanced data analysis, exploration, feature engineering and data processing to uncover insights, trends and patterns, leveraging approved AI tools where appropriate to accelerate analysis and improve ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud‐based solutions, or AWS‐enabled automation would be highly beneficial. Experience deploying ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 175k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think … them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings ...

enhance tools used by the desk for valuation and riskWork closely with traders and sales to provide quantitative insights and support new businessPartner with model risk and controllers on model validation and documentationContribute to exposure simulation and portfolio-level analyticsSkills that will help you in the role ...

with C++ or C# or Java programming, as it involves development of interfaces to the core C++ analytical library where the models are implemented. Model validation, including testing the model at its fundamental level and pricing real-world trades to ensure that the model produces ...

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 ...

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 ...

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 ...