1 to 25 of 124 Remote/Hybrid Model Validation Jobs in the UK

# 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 ...

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 ...

customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Can clearly articulate ideas with non‐technical language and tell a simple story to non technical audience … customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring #J-18808-Ljbffr ...

customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring - Can clearly articulate ideas with non-technical language and tell a simple story to non technical audience … customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...

infrastructure, automation, and deployment pipelines required to run machine learning models reliably in production. The role combines software engineering, cloud infrastructure, CI/CD, model lifecycle management, monitoring, and operational reliability.The successful candidate will work closely with ML engineers, data scientists, and platform engineers to make model training … Responsibilities 01 Build and maintain automated ML training and deployment pipelines. 02 Implement CI/CD workflows for machine learning applications. 03 Manage model versioning, artefact storage, and experiment tracking. 04 Deploy models using cloud infrastructure and containerisation. 05 Use Docker and Kubernetes or equivalent orchestration technologies. 06 Monitor ...

software engineers, product managers, and AI leadership to transform research and prototypes into reliable, scalable production solutions. This role requires strong programming skills, practical model development experience, sound understanding of model evaluation, and the ability to build maintainable machine learning pipelines. Success will be measured through model … Responsibilities 01 * Design, develop, train, and deploy machine learning models for business and product applications. 02 * Build scalable data processing, feature engineering, and model training pipelines. 03 * Collaborate with data scientists to translate experimental models into production-ready solutions. 04 * Evaluate model performance using appropriate metrics, validation ...

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 ...

attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack ...

technical modelling specialist. Comfortable operating across both analytics and data science disciplines. Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes. Key Requirements Essential Skills Data Science & Data Analytics Data Visualisation & Power … including AI-enabled Conversational Insights Data Product Development Exploratory Data Analysis (EDA) & Feature Engineering Model Development & Selection Model Validation & Governance Model Productionisation & Monitoring End-to-End Data Science Model Lifecycle Management Analytics Integration into Business Workflows & Operational Processes Desirable Skills Financial Services experience, particularly within ...

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 ...

doing: · Develop and enhance reporting, dashboards and analytical products that provide insight to senior business leaders and customers. · Centralise, cleanse, validate and model data from multiple business systems within modern data platforms and data lake environments. · Build and maintain data pipelines, automated solutions and analytical tools using technologies including ...

systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results to business … team growth. What We Offer Opportunity to work on cutting-edge AI and ML projects, Collaboration with international clients (US and Europe), Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days, Supportive, innovation-driven work environment focused ...

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 ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … 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 ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … 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 ...

into enterprise applications. Create reusable AI components and frameworks. Machine Learning Engineering Train, fine-tune, evaluate, and deploy ML models. Develop feature engineering and model evaluation pipelines. Implement model monitoring and performance tracking. Optimize model inference performance and cost efficiency. Develop LLM-based applications and workflows. Build … knowledge retrieval systems. Design evaluation frameworks for AI quality, safety, and reliability. Improve hallucination mitigation and response accuracy. MLOps & Deployment Design and automate ML model training, validation, and retraining pipelines. Version and manage datasets, features, and model artefacts using tools such as MLflow or similar. Deploy ...

recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect you to know everything … looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux ...

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 ...

into our inference platform Lead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation) Optimise inference workloads for latency, batching, memory efficiency, and throughput Benchmark model quality vs cost vs performance across modalities Improve inference startup times and stability under high load Build evaluation frameworks and internal tooling for model validation Work closely with Infrastructure and Backend teams on scalable serving systems Monitor production performance and drive continuous optimisation Mentor engineers and help raise the ML engineering bar across the team What We’re Looking For Deep, hands-on expertise in Python and PyTorch, comfortable working ...