1 to 25 of 118 Model Validation Jobs in the UK

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 ...

within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking Have knowledge of AI ethics, governance, and compliance frameworks Are proficient in additional languages such ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large … Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement ...

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 ...

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 ...

solutions using Azure Synapse Analytics Ingest data from multiple sources (APIs, databases, files, streaming sources) into Azure data platforms Implement data modeling, transformation, and validation to ensure data quality and reliability Optimize performance, cost, and scalability of data pipelines and queries Collaborate with data analysts, data scientists, and business ...

solutions using Azure Synapse Analytics Ingest data from multiple sources (APIs, databases, files, streaming sources) into Azure data platforms Implement data modeling, transformation, and validation to ensure data quality and reliability Optimize performance, cost, and scalability of data pipelines and queries Collaborate with data analysts, data scientists, and business ...

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 ...

Essential Skills & Experience Strong background as a Technical Business Analyst in complex, enterprise-scale environments Strong SQL experience - able to interrogate, validate, analyse, and model data across multiple sources Demonstrated ability to work to fixed deliverables, deadlines, and outcome-based delivery models Excellent understanding of system integrations, APIs, data ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...

building models, running experiments, validating results, and ensuring that research code is robust and reproducible. This role suits someone who enjoys hands-on model development and wants their work to directly influence scientific discovery, while still caring deeply about code quality and collaboration. What you'll do: Develop ...