101 to 125 of 419 Model Validation Jobs in the UK

eligible for SC clearance. What We Are Looking For This is not a traditional QA role. You will own verification, validation, and assurance across models and integrated simulation systems, acting as the authority on whether systems are fit for use. Highly analytical and structured. Independent and evidence-driven. Willing … defending decisions about system credibility and fitness-for-purpose Key Technical Proficiencies Strong understanding of VV&A principles and frameworks as well as model and system validation approaches. Experience in validating simulation models, assessing fitness-for-purpose and producing structured validation evidence. Expert in test planning ...

standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within … installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards ...

grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with 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 ...

insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I 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 ...

data validity Uncover trends in multiple sports datasets Build and maintain data-driven predictive models Research and apply novel modelling techniques Build and maintain model validation metrics to regularly track performance Have awareness of the limitations of any model output Have an understanding of statistical robustness ...

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 ...

. The role will have a particular focus on treaty pricing , developing and maintaining models within Python and Tyche , alongside broader actuarial analysis and model development. You'll also work closely with underwriting, exposure and specialist teams to improve the modelling of complex risks and support wider business decision … making. Key areas of the role include: Treaty pricing and pricing model development * Building and enhancing models using Python & Tyche * Model validation, sensitivity analysis and governance * Developing and improving existing actuarial tools and processes * Working closely with underwriting and exposure teams * Applying statistical techniques to the modelling ...

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 ...

software development. What You'll Do Design, build, and maintain core components of the Panopticon framework using idiomatic Rust. Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations. Extensively utilise LLMs, AI agents, and advanced coding copilots … verification, applied cryptography, or verifiable compute. Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers). Understanding of modern AI tooling, foundation model APIs, and deployment pipelines. Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical ...

scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues … Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services ...

software systems , not just declarative pipelines or SQL-only workflows Proficiency in Go or Python (or similar general-purpose language) Experience with data modeling, validation, and transforming real-world data into usable formats BS in Computer Science, Engineering or Bioinformatics, or a related field, or equivalent practical experience Preferred ...

Bank of America in London is seeking a Quantitative Finance Analyst to join the Enterprise Model Risk Management team. You will validate risk models and work with developers to ensure robust monitoring and regulatory readiness. The role requires an advanced degree in a technical field and strong Python skills ...

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 ...

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 ...

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 ...

Moody’s is seeking an experienced AI model risk specialist to independently evaluate GenAI and agentic AI tools, scorecards and quantitative models used in credit rating activities. You will ensure conceptual soundness, appropriate calibration and governance align with approved methodologies. You will build MRG capabilities, deliver rigorous validation ...

also collaborate with teams using Civil 3D and other platforms to ensure fully integrated project delivery. A key aspect of the role is maintaining model integrity, improving coordination efficiency, and supporting model federation through OpenBIM and IFC workflows. Your Impact You will play a key role in delivering … such as survey, GIS, and federated models—proactively identifying and resolving clashes before they impact delivery. You will also support digital project success through model validation, quality assurance processes, and compliant information handover, ensuring projects meet both client expectations and industry standards. Leveraging Revit, parametric design, and tools ...

business. Work with exposure management team, claims and other areas of the business to collect data to help inform VoR improvements. Conduct selection and validation of new Catastrophe vendor models and products, incorporating them into Canopius VoR and processes. Develop research agenda that delivers commercial value to Canopius, working … Modeler experience is required Highly numerical and strong mathematical/statistical knowledge Excellent business communication skills - ability to influence, negotiate, and listen Experience in model validation and view of risk work is highly desirable. Ability to manipulate large data sets with strong Excel and SQL skills. Strong experience ...

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 Proven experience delivering ML systems to production environments Strong, low-level Python ...

data or other scientific datasetsYou have strong Python software engineering skills with a focus on reproducible, production quality researchYou have experience with uncertainty quantification, model validation and explainable AIYou’re comfortable leading technical direction, working autonomously and mentoring othersExperience with cryosphere science, climate modelling, glaciology, atmospheric science ...

essential. Key skills:- Extensive recent hands-on Python development experience Strong commercial FastAPI development experience Strong Pydantic experience including data modelling, validation, schema design and serialization Building and owning production-grade Python services, APIs, reusable libraries and automation REST API development and service integration Strong SQL development skills Production ...

revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements into robust data products that customers want to purchase whilst contributing ...

STEM discipline. Experience publishing scientific or technical research. Experience reviewing technical reports, engineering documentation, scientific publications, or research outputs. Familiarity with modelling, simulation, validation, verification, or quality assurance activities. Previous exposure to AI-assisted workflows or machine learning technologies. Pay range and compensation package Compensation: Paid Entrance Assessment ...

solutions. Strong Salesforce administration, configuration, implementation and development experience. Experience delivering large-scale Experience Cloud implementations. Expertise in Salesforce customisation, security models, workflow approvals, validation rules and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce and web services. Experience developing Salesforce integrations using REST and SOAP ...