1 to 25 of 37 Model Validation Jobs in the UK excluding London

experiments to test new agent capabilities, fine-tune models, and iterate on prompt engineering and feature selection. • Automate data pipelines end-to-end, from data ingestion and preparation to model training, evaluation, and deployment, including integrating agents into cloud-native environments and ensuring they scale and operate reliably. • Engage confidently with both technical and non-technical stakeholders, adapting your … workflows. • Establish both generic and bespoke metrics for agent performance, using a mix of human and AI-based evaluation methods to ensure robust, scalable measurement. • Set up monitoring and validation frameworks to ensure agents perform as expected in production and quickly identify and address issues. • Work closely with engineering, DevOps, risk, security, and business teams to deliver agent-based … to innovate, explore possibilities and grow with purpose. What you'll need: • Experience working with AI agent including prompt engineering and tool definition/selection to build Large Language Model (LLM)-based applications. • Degree qualified in a relevant field or equivalent work experience. • Experience in leading a small team and managing projects. • Have industry experience as a data scientist More ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements … Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python More ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements … Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python More ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements … Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python More ❯

I am currently supporting a FinTech lender in London a new role within their Model Validation team. The role is at a Lead Analyst level and is an individual contributor position, there is no line management. The main responsibility within the role will be validating credit risk scorecards and there will also be validation of IFRS9 models. … You must have experience within a Model Validaiton function previously and any added experience of working within Model Development would be desirable (but not essential). The main coding language used is Python, but if you have experience in SAS or R with the desire to up skill in Python, this works for the business. InterQuest Group is More ❯

and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What you will do Contribute to discovery and development phases for new and existing products/models relating to media measurement Participate in model development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring … ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. More ❯

and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What you will do Contribute to discovery and development phases for new and existing products/models relating to media measurement Participate in model development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring … ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. More ❯

learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative methods to exploit dunnhumby's … world class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

What you'll be doing: Exploring, processing, and analysing complex time-series datasets. Designing and implementing advanced statistical, ML, and deep learning models for forecasting. Applying best practices in model development, testing, and validation. Working closely with quants and engineering teams to integrate models into investment workflows. Contributing directly to investment strategies with your research and insights. What we More ❯

Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy, fairness, and robustness.Develop automated testing frameworks for data pipelines, model training, and inference.Perform functional, integration, regression, and performance testing on AI systems.Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯

Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression, and performance testing on AI systems. Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯

inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability … develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability to stay informed of the latest advancements in data science, including … AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions More ❯

with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills What's in it for you: As a Quantitative Analyst/Modeller, you will earn a More ❯

inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability … develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability to stay informed of the latest advancements in data science, including … statistics, mathematics, AI principles and programming is essential for success in this role. Nice-to-have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions More ❯

practice across reporting and analytics. Qualifications Strong SQL skills, confident working with complex datasets. Knowledge of PySpark and Azure Data Factory (ADF). Experience with Power BI – data modelling, validation, and optimisation. Background managing or collaborating with consultancies/offshore delivery teams. Ability to create clear technical requirements and hold others to account on delivery. Strong communicator, able to More ❯

requirements. Develop process maps and target operating models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development ofdata dictionaries and data models. Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partnering with Architects or Development teams to produce appropriate design specifications Continuously review and assess solution delivery More ❯

per fortnight on site Job Role: Lead rotor dynamic analysis tasks to inform equipment and system design and specification Produce verification evidence to underpin system and equipment performance Undertake model validation including comparison of predicted and test data at system and equipment level Provide direction to more junior engineers and undertake mentoring and coaching Undertake peers' reviews/ More ❯

Bespak are looking for a Model-Based Systems Engineer on a permanent contract for the Kings Lynn site, PE30 2JJ. The salary range for this new position within the business is between £53k and £60k. Our generous benefits package includes 28 days leave plus bank holidays, 8% company pension contribution to employees 3%, onsite parking and medical/dental … flexibility in this onsite position within the needs of the business. Once you click apply, you will be redirected to our company website to make your application. As a Model-Based Systems Engineer, you will support the implementation of MBSE and in silico practices across the product lifecycle. Your primary responsibility will be working with senior engineers to develop … consistent with product evolution. We offer a Relocation Package for anyone looking to move into the area and can offer skilled worker visa sponsorship to eligible candidates. As a Model-Based Systems Engineer your duties will include: Developing and maintaining structured SysML system models. Supporting model traceability across the product lifecycle. Preparing and running FEA and CFD simulations. More ❯

Bespak are looking for a Model-Based Systems Engineer on a permanent contract for the Kings Lynn site, PE30 2JJ. The salary range for this new position within the business is between £53k and £60k. Our generous benefits package includes 28 days leave plus bank holidays, 8% company pension contribution to employees 3%, onsite parking and medical/dental … flexibility in this onsite position within the needs of the business. Once you click apply, you will be redirected to our company website to make your application. As a Model-Based Systems Engineer, you will support the implementation of MBSE and in silico practices across the product lifecycle. Your primary responsibility will be working with senior engineers to develop … consistent with product evolution. We offer a Relocation Package for anyone looking to move into the area and can offer skilled worker visa sponsorship to eligible candidates. As a Model-Based Systems Engineer your duties will include: Developing and maintaining structured SysML system models. Supporting model traceability across the product lifecycle. Preparing and running FEA and CFD simulations. More ❯

Bespak are looking for a Model-Based Systems Engineer on a permanent contract for the Kings Lynn site, PE30 2JJ. The salary range for this new position within the business is between £53k and £60k. Our generous benefits package includes 28 days leave plus bank holidays, 8% company pension contribution to employees 3%, onsite parking and medical/dental … flexibility in this onsite position within the needs of the business. Once you click apply, you will be redirected to our company website to make your application. As a Model-Based Systems Engineer, you will support the implementation of MBSE and in silico practices across the product lifecycle. Your primary responsibility will be working with senior engineers to develop … consistent with product evolution. We offer a Relocation Package for anyone looking to move into the area and can offer skilled worker visa sponsorship to eligible candidates. As a Model-Based Systems Engineer your duties will include: Developing and maintaining structured SysML system models. Supporting model traceability across the product lifecycle. Preparing and running FEA and CFD simulations. More ❯

per fortnight on site Job Role: Lead rotor dynamic analysis tasks to inform equipment and system design and specification Produce verification evidence to underpin system and equipment performance Undertake model validation including comparison of predicted and test data at system and equipment level Provide dire click apply for full job details More ❯

and support site level implementations of Allocate Optima (eRoster) and related modules Support the post go live stabilisation of Allocate Optima within the sites Gather and validate site level model data, and ensure accurate workforce configuration Map activity and service plans into roster templates, shift patterns and rules Ensure data accuracy between HR systems and the eRostering system Travel More ❯