101 to 125 of 260 Model Validation Jobs in the UK

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 ...

internal initiatives.Support clients in navigating emerging AI regulations, standards, and guidance while enabling innovation and business value.Facilitate workshops, governance forums, risk assessments, and operating model design activities with senior stakeholders.Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.Hybrid working with the team … Values | PA Consulting.QualificationsEssential requirements You must be an established consulting professional with experience delivering projects focused on AI governance, responsible AI, AI risk management, model governance, or emerging technology regulation within the private sector. Ideally, you should have experience consulting with Life Sciences, Government or Consumer & Manufacturing sector clients.Even ...

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 ...

TeamJoin our Financial Risk Management (FRM) team, where we develop, validate, and enhance the methodologies that underpin Swiss Re's financial risk framework.Our Financial Model Validation & Methodologies team, based in London, Zurich, and Bangalore, works at the intersection of risk management, actuarial science, finance, and technology to strengthen … risk capture methodologies.Enhance risk systems to reflect evolving portfolio characteristics, market dynamics, and regulatory requirements.Contribute to the integrity of Swiss Re's Internal Capital Model, ensuring methodologies remain robust, transparent, and fit for purpose.Serve as a subject matter expert on market and credit risk methodologies, providing advice and insight ...

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 … frameworks, 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/ ...

Financial Risk Management (FRM) team, where we develop, validate, and enhance the methodologies that underpin Swiss Re's financial risk framework. Our Financial Model Validation & Methodologies team, based in London, Zurich, and Bangalore, works at the intersection of risk management, actuarial science, finance, and technology to strengthen Swiss … methodologies. Enhance risk systems to reflect evolving portfolio characteristics, market dynamics, and regulatory requirements. Contribute to the integrity of Swiss Re's Internal Capital Model, ensuring methodologies remain robust, transparent, and fit for purpose. Serve as a subject matter expert on market and credit risk methodologies, providing advice ...

people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML‐driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute … application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide ...

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 … Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search ...

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 … Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search ...

tasks, and improve output qualityExperience with VBA, Excel-based financial models, or BI tools (e.g. Tableau, Looker) for reporting and scenario analysisExperience supporting audit, model validation, or internal review processesKnowledge of ECL/impairment modelling under IFRS 9We’re building a place where everyone truly feels they belong. ...

bring the data perspective. You'll help ensure experiments are designed with the downstream data requirements in mind, lead the approach to modelling and validation, and ultimately help turn complex real-world scientific data into robust ML-driven products. We're particularly interested in people with experience across areas ...

software.Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.Work with customers, partners to identify and address security issues ...

software.Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.Work with customers, partners to identify and address security issues ...

across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.* Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.* Work with customers, partners to identify and address security ...

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 TradingHub’s proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank or pricing ...

they can be applied to our products Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality ...

growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders across Credit Risk, Operations, Finance, Collections and Technology to deliver … methodologies. Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. Work closely with Credit Risk, Operations, Transformation ...

build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders.Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences.Develop comprehensive … opportunities using tools such as Power Platform, Power Automate, or equivalent — reducing manual effort and improving data-driven workflows.Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers.Lead UAT and business validation for analytics outputs ...

Responsibilities Develop innovative artificial intelligence and machine learning solutions to support critical scientific decision-making. Build scalable data pipelines that enable efficient analysis, model development, and insight generation. Apply advanced analytical methods to solve complex research and business challenges. Integrate diverse datasets to uncover meaningful patterns and actionable opportunities. … help identify risks and support informed decision-making. Partner with cross-functional experts to advance project goals and drive innovation. Ensure high standards of model quality, validation, reproducibility, and performance. Communicate complex findings clearly to both technical and non-technical audiences. Essential Requirements Doctorate degree in Data Science ...

support transaction economics, hedging considerations and business reporting requirements. Provide portfolio performance monitoring and reporting, analysing actual versus forecast performance for closed transactions. Support model governance processes, including model testing, validation and maintenance of audit-ready documentation. Drive improvements in automation, controls and efficiency through enhanced tooling ...

geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with … modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills ...

someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition from traditional rules-based monitoring to AI-powered detection. What you'll do: Lead the tuning … optimisation, and configuration strategy for Google Cloud AML AI models. Define and execute backtesting frameworks to validate model performance against legacy Transaction Monitoring approaches. Establish alert thresholds and monitoring strategies that balance model effectiveness with operational capacity. Educate and upskill business stakeholders on AI outputs, model explainability ...

Design for Serviceability (DFS), and reliability engineering principles. Experience supporting supply chain, component lifecycle management, and obsolescence planning. Familiarity with hardware simulation, modelling, and validation methodologies. Experience developing common product platforms deployed across multiple product generations and product families. Equal Opportunity Employer We Are an Equal Opportunity Employer. Ralliant ...

improve ways of working.Preferred SkillsBIM & Digital Engineering Tools: Proficient in BIM platforms such as Revit, Solibri, and similar tools, with a strong understanding of model-based design workflows.Model Preparation & Data Quality: Experienced in preparing and validating Revit models for use in digital and AI-enabled workflows, including managing spaces ...