1 to 25 of 360 Permanent Model Validation Jobs in the UK

every single requirement, please apply! You still may be a great fit for this role or other open roles. 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 understanding of AI model risk management, including risks and controls specific to Generative AI and agentic AI, and their implications for model validation and governance Practitioner-level agentic AI skills : a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including ...

# 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 ...

decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. Skills and Competencies A deep understanding of AI model risk management, including risks and controls specific to Generative AI and agentic AI, and their implications for model validation and governance Genuine, hands … such as R, Python, MATLAB, and SQL, with the ability to work within an established codebase; knowledge of C++ programming is preferred Experience in model validation, model risk management, or independent review is advantageous, with prior work in credit, counterparty, or market risk considered helpful context Typically ...

serve customers. As the use of Generative AI, Large Language Models (LLMs) and Agentic AI continues to expand, the need for robust governance, validation and oversight has never been greater. We are seeking an experienced AI specialist to join a growing AI Validation & Governance function in a high … profile Vice President role. Reporting directly to the Head of AI Validation & Governance, you will play a pivotal role in defining how AI models are independently assessed, challenged and governed across the organisation. This is a unique opportunity to help build the framework that will underpin the safe ...

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 ...

About the Team Goldman Sachs's Model Risk Management (MRM) team plays a critical role in ensuring the safety and soundness of the firm's models. MRM validates a diverse set of models, including AI and machine learning models, used within the firm. This role offers the opportunity … make significant contributions to the firm's overall model risk management framework and AI. MODEL RISK MANAGEMENT (MRM) The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with a presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong ...

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 ...

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 ...

data connections and deploy analytical, AI-enabled or customer-facing applications. Ensure the responsible, transparent and secure use of AI and GenAI, including appropriate model validation, documentation, reproducibility, data governance and risk management. Establish and track KPIs, model performance measures and success metrics for predictive modelling … science innovation. Develop and maintain comprehensive documentation of models, methodologies and analytical frameworks to ensure reproducibility, auditability and knowledge transfer across the team. Optimise model performance and scalability, ensuring analytical solutions can handle increasing data volumes and computational demands across the R&D portfolio. Manage stakeholder relationships and provide ...

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 ...

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 ...

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 ...

using machine learning, statistical methods and natural language processing, where appropriate.• Apply quantitative analysis to support scenario assessments, thematic reviews and stress testing.• Ensure model outputs are explainable, validated and compliant with internal governance standards.Data Management and Quality Assurance• Ingest, clean and transform datasets from internal systems (e.g. … Compliance• Ensure analytical activities comply with applicable risk management frameworks, data governance standards and regulatory requirements.• Maintain appropriate documentation, controls and evidence to support model validation, audit and regulatory scrutiny.• Escalate material data quality issues, analytical limitations and risks to relevant stakeholders.Skills and ExperiencePriority Skills • Data Science ...

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 ...

through PoCs, PoVs, MVPs, and, where appropriate, first production versions, before handing proven solutions to Solutions Engineering for scale-up — bringing to GSK a model proven by AI-native companies such as Anthropic, Palantir, and OpenAI. You will act as the most senior technical authority in the FDE function … portfolio of business stakeholders.Understanding of hands-on expertise in GenAI patterns, including agents, multi-agent orchestration, RAG, prompt engineering, evaluation, fine-tuning, and Model Context Protocol (MCP) integrations.Enterprise-level expertise in AI, ML, and data science — classical ML, deep learning, LLMs and foundation models, statistical and causal inference ...

fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. … approaches towards new fraud scores and models Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services. This can be done through expert approaches or through AI approaches (e.g. ...

Palantir, OpenAI) or hyperscaler.Experience in regulated industries (pharma, healthcare, financial services) and familiarity with GxP, GDPR, and SOX.Working knowledge of fine-tuning fundamentals and Model Context Protocol (MCP) integrations.Track record of contributing reusable engineering patterns that others have adopted.About GSK Enterprise AIEnterprise AI is GSK's centre of gravity … Frameworks, Computer Programming, Data Preprocessing, Deep Learning, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco ...

great and versatile role, looking for a Quantitative Developer to join the team responsible for maintaining and enhancing Derivatives risk – Initial Margin Model (IMM) and related analytics infrastructure. This role combines quantitative expertise with strong programming skills to deliver robust, efficient, and scalable solutions for margin calculation and risk … institution. This is a Technical Quant Development role requiring someone with some years exposure in either Derivatives Margin Modelling (preferable), Capital Markets Risk modelling, Model Validation, Model development experience and now looking to take their career forward in a more industry leading way. #J-18808-Ljbffr ...

across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. … Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams to make data science outputs scalable, maintainable and usable. Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams. Promote responsible AI, data ethics, privacy and model ...

processes, onboarding, and governance**Digital Delivery Oversight/BIM Execution Governance*** Provide governance over BIM/Digital Delivery teams to ensure consistent execution of:* Model federation and coordination* Clash detection and resolution workflows* Geometry QA and model health monitoring* Naming compliance and Revit standards* Level of Development … definition and compliance* View templates and publishing workflows* Navisworks coordination* Discipline model management and consultant integration* Additionally, ensure implementation of:* BIM model auditing frameworks* Geometry compliance validation* Model coordination control* LOD validation and reporting**Lifecycle Digital Asset Integration*** Establish and govern the EMEA digital asset ...

scale datasets, and build models that drive real-world impact. What You Will Do Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities. Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision … develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions. Create, review, and deliver formal presentations ...

technical leadership and mentorship to fellow data scientists, elevating the team's capabilities and fostering a culture of excellence. Own the end-to-end model lifecycle, from initial R&D and prototyping through to deploying robust, scalable models into production pipelines. Partner with senior stakeholders across Product, Sales … Leadership to translate complex business needs into elegant, effective analytical solutions. Champion best practices in model development, validation, and maintenance to ensure the quality and integrity of our analytical outputs. Job Qualifications: We are seeking an exceptional technical leader. We strongly encourage applications from candidates with a background ...