26 to 50 of 189 Model Validation Jobs in London

inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Model Governance Director, Data Science Are you passionate about building and owning practical, scalable AI governance frameworks that enable innovation while managing risk? About the Role … Model Governance Director, Data Science, you will own and evolve the end-to-end AI and model governance framework on behalf of the Data Science function. You will provide strategic leadership, helping to ensure AI systems are developed and deployed responsibly while balancing regulatory compliance, risk management, innovation ...

their AI, models, and data are sound, controlled, and compliant. The company delivers end-to-end audits of AI systems, including AI vendor dependencies model risk and validation, AI controls, data lineage and provenance, and regulatory readiness for frameworks such as the EU AI Act, DORA, and GDPR. … contingent fee arrangements. Role Description This is a part-time AI Advisory Board role based in Greater London with a hybrid working model, combining in-person meetings with some work from home. Advisory Board members provide strategic guidance on AI assurance, governance, and risk management, contributing to board-level ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloadsTransforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisationValidating, benchmarking, profiling, or analysing AI model performanceDeveloping compiler technologies, intermediate representations, or hardware abstraction layersBuilding automated tests and CI/CD workflows … expertise in machine learning runtime development and hardware-accelerated AI execution. The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration.Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning ...

learning and experimentation.Advanced Python programming skills.Experience developing deep generative models, including transformers, diffusion models, GANs or VAEs.Experience building applications using Large Language Models.Knowledge of model validation, evaluation frameworks and MLOps practices.Experience working with cloud platforms such as AWS, Azure or Google Cloud.Ability to influence stakeholders and communicate complex ...

commercial outcomes. You'll work across: Customer segmentation, propensity modelling and churn prediction. Revenue and demand forecasting. Python-based modelling, feature engineering and model validation. Production deployment, cloud infrastructure and MLOps. Translating complex analysis into actionable commercial insights. Collaborating with product, engineering and client teams to develop AI-powered ...

program dates: 14 June – 20 August, 2027 Responsibilities Support the cyber product management team in developing research, tools, and materials that drive cyber model and product adoption. Run client and sample data through Moody’s cyber model to support analysis and evaluation Utilize and test cyber modelling applications … industry reports Synthesize analysis and market research into presentations, blog posts, and other sales and marketing materials Generate comparative reports to assess and quantify model changes Develop automated and/or agent-based approaches to support model validation and reporting About the Team Our Cyber Product Management ...

grow a 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 … 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. ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

senior scientific, technical, quality and enterprise leaders.Strong track record managing budgets, headcount and resources, including external technology partners and contractors.Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated Good Practice (GxP) environment.Strong analytical skills. You define portfolio-level metrics … culture of technical excellence and continuous improvement.Work Location and Flexibility This role is based in the United States and offers a hybrid work model, combining remote work with on-site collaboration to foster strong teamwork and engagement. #LI-GSK#AGTechSkillsArtificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage:- improving performance across our range of products- unlocking new data and faster model development- helping Monzo build underwriting that scales into new markets- shaping 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 own- Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion- Faster model ...

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/ ...

development ensuring quality reliability performance security and complianceDesign and execute test plans for LLM powered applications chatbots copilots RAG solutions and AI agentsValidate AI model accuracy bias fairness explainability robustness and performanceDevelop and maintain AI test automation frameworks using Python and modern testing toolsPerform functional integration regression API performance … security testing for AI platformsEstablish test data management practices and synthetic data generation approachesDefine and monitor AI quality metrics model drift hallucination rates response consistency and user experience KPIsCollaborate with Data Scientists AI Engineers Product Owners Architects and business stakeholdersSupport CICD integration and quality gates for AI model ...

quality reliability performance security and compliance Design and execute test plans for LLM powered applications chatbots copilots RAG solutions and AI agents Validate AI model accuracy bias fairness explainability robustness and performance Develop and maintain AI test automation frameworks using Python and modern testing tools Perform functional integration regression … performance and security testing for AI platforms Establish test data management practices and synthetic data generation approaches Define and monitor AI quality metrics model drift hallucination rates response consistency and user experience KPIs Collaborate with Data Scientists AI Engineers Product Owners Architects and business stakeholders Support CICD integration ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical … framework and measuring model impact upon deployment. You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences. You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes. Our Interview Process ...

insights.* Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems.* Develop and evaluate insightful models using robust performance and validation methodologies.* Communicate findings and recommendations clearly to both technical and non-technical stakeholders.* Contribute to development of innovative AI, machine learning and advanced analytics … analyse large-scale datasets.* Develop and manage machine learning workflows within an MLOps environment.* Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment.* Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino).**Delivery Excellence*** Participate ...

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 new data ...

with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, we are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation Experience with one or more machine learning or deep learning approaches such as Long Short ...

features and analytical outputs through approved Fabric and Databricks data products, tables, APIs, search indexes, batch pipelines or product features. Maintain reproducible code, tests, model and data documentation, evaluation evidence and clear statements of limitations and appropriate use. Use AI agents and coding assistants responsibly to accelerate exploratory work … quality measures. Develop reusable pipelines in Microsoft Fabric and Databricks for entity resolution, enrichment, metadata, relationship mapping and data-quality monitoring. Run EDA and model development that increases the value of priority data assets for client intelligence, opportunity identification, pricing, matter analysis and other high-value use cases. What ...

example, Docker, FastAPI). Strong SQL, a solid grounding in relational databases, schemas and data transformations (ideally DBT), and experience preparing data for model training and scoring. Hands‐on AI experience: embeddings, vector databases or RAG workflows, and NLP or sequence models applied to real-world datasets. Experience delivering ...

example, Docker, FastAPI). Strong SQL, a solid grounding in relational databases, schemas and data transformations (ideally DBT), and experience preparing data for model training and scoring. Hands-on AI experience: embeddings, vector databases or RAG workflows, and NLP or sequence models applied to real-world datasets. Experience delivering ...

toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with building data ingestion pipelines from REST API data ...

insights. Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. Develop and evaluate insightful models using robust performance and validation methodologies. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Contribute to development of innovative AI, machine learning and advanced analytics … analyse large-scale datasets. Develop and manage machine learning workflows within an MLOps environment. Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment. Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino). Delivery Excellence Participate ...

Moody's Investors Service is seeking a senior AI/ML model risk professional to independently evaluate AI-enabled tools, agents and quantitative models used in credit rating activities. You will strengthen GenAI and agentic AI governance with rigorous validation, testing, and reporting. The role emphasizes production readiness ...

ICBs and support health systems across the UK, Ireland and the DACH region to reduce hospital pressure, improve outcomes, and create a more resilient model of care. We're backed by top European investors, having secured £35m in Series B funding led by Lakestar, with participation from Elaia, General ...

regulated environments. Tomorrow’s enterprise security landscape will not look like today’s. As AI adoption accelerates, organisations face novel architectural challenges, ranging from model manipulation and prompt injection to sensitive data egress and supply chain vulnerabilities. Success requires embedding security directly into the AI development lifecycle, ensuring systems … Build & Lifecycle: Knowledge of how to integrate security controls into the AI build process (DevSecOps for AI/MLSecOps), including data pipeline security, model validation, and secure API integration. Data Protection & Egress Control: Deep awareness of data privacy challenges unique to AI, including data loss prevention (DLP), data ...