1 to 25 of 63 Remote/Hybrid Model Validation Jobs in London

# ML Model Governance LeadFinancial Services — Model Risk ManagementHybrid · London £95,000–£130,000 42 days ago 13 interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate … fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging in all large enterprises as AI model risk becomes a board-level concern.In financial services, the SR 11-7 guidance has defined model risk management for decades. In 2026, that framework ...

Senior Decision Scientist - Validation £60,000 - £80,000 | London Are you a credit risk modelling specialist looking to move into a high-impact validation role within a fast-growing fintech? This is an opportunity to join a well-established business where data science and automated decisioning … They have built a highly data-driven lending platform powered by machine learning and automated credit decisioning. This role offers the opportunity to influence model governance and validation standards within a business where analytical insights directly shape commercial outcomes. THE ROLE As a Senior Decision Scientist within ...

looking for a Senior Data Scientist to join our AMI group. This hands-on role combines Machine Learning, statistical modeling, Generative AI, RAG, model evaluation, and fine-tuning for enterprise AI applications. AMI supports commercial AI providers and on-premises models, with agents, MCP tools, and A2A interoperability delivered … anomaly detection to enterprise AI and agentic use cases. Develop and evaluate intent classification, semantic matching, agent/skill/tool ranking, and model-routing techniques; compare learned approaches with rules, embeddings, and LLM-based baselines. Use statistical modeling to estimate execution latency, token demand, inference costs, workload trends ...

Monzo is hiring a Credit Model Validation Manager in the UK to provide independent validation and oversight across our credit modelling suite. You will lead hands-on validation of models used for customer-level decisioning, including ML/decision science and NPV models. You’ll work … purpose and well-governed. The role offers hybrid UK working options and a generous learning budget, with modern tooling and opportunities to influence model #J-18808-Ljbffr ...

analytical tools for HEOR, primarily using R and C++. Support the development of cost-effectiveness and budget-impact models for health technologies. Contribute to model conceptualisation, implementation, validation and troubleshooting. Conduct analyses of healthcare, clinical trial and other relevant data. Critically review model structures, inputs, assumptions … health systems and HTA processes. Experience of healthcare data analysis or clinical trial interpretation. Experience of consulting or other client-facing work. Familiarity with model validation, quality assurance and technical documentation. Experience of teaching, training or communicating technical concepts. Knowledge of additional programming languages, including C++, would ...

world of siloed and disconnected data bringing context to the disparate views of similar data Undertake exploratory data analysis, data preparation, feature engineering and model development using appropriate programming languages, tools and analytical techniques Apply statistical analysis, predictive modelling, classification, natural language processing and other relevant techniques to address … range of business challenges Evaluate and communicate model performance, limitations, assumptions and potential risks, ensuring proposed solutions are appropriate for their intended business use Present technical findings and outcomes to both technical and non‐technical stakeholders, clearly articulating potential business value and recommendations Support the development of data science ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

optimized for large-scale distributed systems using a high-performance grid computing platform Leverage Python, SQL, and Snowflake to analyze, construct, and validate model inputs Document methodologies to support internal and external model validation and compliance processes What you should have M.S. or PhD in mathematics, physical ...

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 ...

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 our client's proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank ...