1 to 25 of 32 Model Validation Jobs in England

looking to onboard two AI Validation Specialists to support the Model Validation/AI Risk & Oversight team at a large UK bank on a contract basis. The roles are primarily aligned to London or Edinburgh with hybrid working, however we can consider strong candidates in other locations … Role The bank is scaling the use of AI-enabled solutions across operational efficiency and customer-facing journeys. This includes a growing pipeline of model validations, including early agentic AI validations, alongside use cases such as complaints automation and enhancements to customer-facing chatbots. To alleviate near-term pressure ...

based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining … real-time model validation across the enterprise. Stakeholder Engagement Partner with senior leaders across Finance, Actuarial, Claims, and Investment to define analytical priorities that align with Enstar's strategic goals. Present findings clearly and persuasively — transforming complex analytics into actionable recommendations for the Executive Committee and Board. ...

based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining … real-time model validation across the enterprise. Stakeholder Engagement Partner with senior leaders across Finance, Actuarial, Claims, and Investment to define analytical priorities that align with Enstar's strategic goals. Present findings clearly and persuasively — transforming complex analytics into actionable recommendations for the Executive Committee and Board. ...

forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers ...

forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers ...

models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users … primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise ...

models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users … primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise ...

with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level … part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers ...

quality checks and implement controls for risk-related datasets. Risk Modelling & Analytics: o Work with SAS, Python, and other analytical tools to support risk model development and validation. o Integrate risk models into data pipelines for automated reporting and analysis. o Collaborate with quantitative teams to operationalize risk metrics ...

Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: In this role, we focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. We work with both the weapon effectors and the wider system components, in order … part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, and all of our engineers ...

Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: In this role, we focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. We work with both the weapon effectors and the wider system components, in order … part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, and all of our engineers ...

Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: 7th December 2025 Department: Data & AI Reports to: Manager of Data Science and Operational Research In a nutshell Are you a data scientist … integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale. Partner ...

Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: 7th December 2025 Department: Data & AI Reports to: Manager of Data Science and Operational Research In a nutshell Are you a data scientist … integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale. Partner ...

Data Scientist £40000 - 70000 GBP Hybrid WORKING Location: Manchester; Bristol; Glasgow; Birmingham; Gloucester, Central London, Greater London - United Kingdom Type: Permanent Data Scientist - DV Cleared Location: UK-Wide Work Structure: Hybrid Salary: Competitive Depending on ...

Data Scientist £40000 - 70000 GBP Hybrid WORKING Location: Manchester; Bristol; Glasgow; Birmingham; Gloucester, Central London, Greater London - United Kingdom Type: Permanent Data Scientist - DV Cleared Location: UK-Wide Work Structure: Hybrid Salary: Competitive Depending on ...

GenAI-enabled use cases, ensuring alignment with business value and feasibility. Analyse unstructured data, including legal texts, documents, and narrative fields, to support GenAI model development. Conduct gap analysis, process mapping, and workflow assessment to identify automation and optimisation opportunities. Collaborate with data scientists, AI engineers, architects … teams to ensure requirements are accurately understood and implemented. Organise, validate, and collate data inputs required for model training and testing activities. Support model evaluation by helping define acceptance criteria, success metrics, and performance thresholds. Facilitate discussions on model explainability, risk considerations, and business implications. Ensure alignment ...

systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores using back-end languages like Python , Java, or Node.js. … approach, consistently documenting designs and results for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex ...

systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores using back-end languages like Python , Java, or Node.js. … approach, consistently documenting designs and results for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex ...

work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models … into business decisions through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work ...

8+ years experience) Clearance: SC clearable (no caveats) Key Responsibilities Implement, integrate, and optimise complex mathematical and signal processing models into production software. Apply model-driven development , combining both autogenerated and hand-written code. Ensure high code quality through adherence to clean coding principles, static analysis, and best practices. … Collaborate with teams on model simulation, validation, and verification , using MATLAB/Simulink or similar tools. Maintain comprehensive software documentation deliverables and reporting. Support unit and wider software testing to ensure reliability and performance. Contribute to the ongoing improvement of software architectures and toolchains . Qualifications Required Skills ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

marketing and commercial teams. Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using … Docker and Kubernetes. Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team. Required Skills and Experience ...

materials scientists, identifying meaningful features and translating complex datasets into impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools … such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential Skills Bachelors degree (2:1 or above) in a STEM field Strong Python development skills Hands ...

will design, fine-tune, and deploy advanced AI models that integrate both numerical and textual data, supporting trading, risk management, and analytics. Key Responsibilities: Model Development & Fine-Tuning: Fine-tune large language models for financial applications, incorporating structured numerical data and unstructured text. Develop robust pipelines for training, validation … including probability, statistics, and financial modelling. Proficiency in Python (preferred), C++, or C#, with Experience writing production-grade code. Familiarity with data engineering and model integration workflows. Excellent problem-solving skills and ability to work in a fast-paced environment. Role Details Contract - 6 months Rolling Rate - Negotiable, they ...

popular libraries (e.g., TensorFlow, PyTorch). Integrate ML models into the ScanApp application, ensuring compatibility and scalability. Utilize knowledge of LLMs to enhance model outputs and improve user experience for Border Force officers. Establish and maintain efficient, reliable, and secure in-house ML infrastructure, either by adapting code from … trial phase or devising new solutions based on trial learnings. Conduct thorough model testing, validation, and iteration to ensure accuracy, reliability, and performance. Strong Stakeholder Management Skills All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only ...