101 to 125 of 230 Model Validation Jobs in England

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 ...

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 ...

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 ...

drug development programs. You will be accountable for building end‐to‐end clinical AI/ML solutions—from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments that support clinical trials and regulatory decision‐making. The AI/… powered products. Advanced Python programming skills and a track record of delivering robust software solutions. Proficiency with standard deep learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). Strong product ...

Develop, coordinate, and maintain MEP BIM models using Autodesk Revit. Coordinate MEP systems with architectural, structural, and other engineering disciplines. Perform clash detection and model validation using Navisworks Manage. Resolve clashes through coordination meetings and technical discussions. Produce coordinated drawings and model-based deliverables. Ensure BIM models … comply with project BEP, client requirements, and company BIM standards. Create and manage Revit families where required. Maintain model quality, naming conventions, shared coordinates, and worksets. Support BIM Managers in implementing project BIM workflows. Participate in BIM coordination meetings and issue tracking. Generate schedules, quantities, and documentation from ...

tools for loading, validating, comparing, visualising and explaining power system models and datasets. Build workflows for grid planning, connections, scenario analysis, data quality and model governance. Design APIs, data pipelines and product interfaces for complex engineering workflows. Create benchmarks and evaluation tools for testing AI models and agents … problems into practical software. Experience working across multiple parts of a software stack rather than within one narrow specialism. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity ...

group develops and maintains help analysts produce independent credit ratings that increase S&P Global’s analytical relevance in the market. As a Methodology Model SME, the position is embedded within the SF team and works closely with the Model and Criteria SMEs, who are responsible for developing … analytical workflows. Provide analytical insight and technical guidance to help the team resolve complex, non-routine problems and tasks. Maintain close interaction with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions. Work closely with the Model and Criteria ...

ownership of BAU service delivery and does not substitute for the MSP's own service management obligations. Key Responsibilities Design the VMO target operating model, defining purpose, scope, service boundaries and interfaces with Procurement, Finance, Legal, Technology, People and Change, and Risk Define the retained organisation structure, roles, capability … dates Establish the contract management framework covering variations, change control, change order pricing principles, renewal points and exit provisions Design the charging model validation approach, including resource units, volume bands, consumption tracking and invoice verification routines Design the performance management framework covering SLAs, KPIs and XLAs, including measurement ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis … variance reduction, and online-offline alignment.Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights.Provide technical ...

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 pages, and web services. Experience developing and supporting Salesforce integrations using ...

next phase of growth. What you'll do: Own the quantitative analytics and data infrastructure underpinning the desk's intraday power trading, from model build through to production tooling. Build and, over time, run a team as both the analytics and algo trading lead. Work directly alongside the desk … hands-on role in developing, and eventually trading, intraday algo strategies as the desk builds out its systematic footprint. Partner with the team on model validation, backtesting and risk analytics across the intraday book. Your profile: A minimum of 3+ years in the short-term prop power trading ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

ANSYS Fluent, or Python. Strong background in heat and mass transfer, reaction engineering, and first-principles modelling (PDEs, reaction kinetics, etc.). Experience in model validation with lab or pilot data; understanding of solid–gas systems (calcination, hydration, carbonation); and past-demonstration of system optimisation preferred. Specifics ...

proven track record with at least some of these essential skillsets: Systems Engineering disciplines Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems Domain specialisms Digital signal processing RF systems Multi‐sensor data fusion and tracking Real time data simulation/generation Technical expertise ...

scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.Partnering with business leaders, domain experts, and end-users to gather requirements and align ...

scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.Partnering with business leaders, domain experts, and end-users to gather requirements and align ...

tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback … cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work ...