1 to 25 of 51 Model Validation Jobs in Yorkshire

drives everything we do and one we're proud of. And you can play your part too join our dedicated Risk team as our Model Validation Specialist. How you'll make a difference You will perform independent model validation reviews and oversight of the Society's … they are conceptually sound, appropriately implemented, and are compliant with internal policies and external regulations. In addition, the role will support with the independent validation of other financial models performed within the team, as required. What will you bring to the role? Knowledge and experience of using Python, SAS … and other programming languages e.g. SQL. Be highly numerate with proven experience of credit risk/IRB model development or validation within a financial institution. A good understanding of residential mortgage portfolios, risk drivers, and lifecycle credit risk behaviour. Experience of model performance metrics, validation techniques More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing … development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation … with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model More ❯

days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing … development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation … with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

you’ll help bridge the gap between data science and production engineering. You’ll: Build and maintain CI/CD pipelines for machine learning model development, testing, and deployment. Develop reusable tools and frameworks for data processing, model training, validation, and monitoring. Work closely with data scientists … to operationalise models, ensuring they’re scalable, reliable, and reproducible. Implement observability and monitoring systems to track model performance, drift, and data integrity. Ensure governance and compliance through model versioning, reproducibility, and auditability. What We’re Looking For We’re looking for someone who’s passionate about using … you’ll help bridge the gap between data science and production engineering. You’ll: Build and maintain CI/CD pipelines for machine learning model development, testing, and deployment. Develop reusable tools and frameworks for data processing, model training, validation, and monitoring. Work closely with data scientists More ❯

tools for monitoring the Greeks of option positions. Create, calibrate, and implement multifactor models for forward price simulation. Help build and validate gas storage model for pricing storage assets and swing structures. Contribute to the methodology for modelling volatility and cross-commodity correlations. Collaborate with structurers and other stakeholders More ❯

models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development of data dictionaries and data models . Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partner ing with Architects or Development teams to produce appropriate design specifications More ❯

modeling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable In the next 12 months: Drive forward specific components … monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable In the next 12 months: Drive forward specific components … monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable In the next 12 months: Drive forward specific components … monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable In the next 12 months: Drive forward specific components … monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable In the next 12 months: Drive forward specific components … monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modelling projects that use ML to identify immune signatures of disease or treatment outcomes. Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets. Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable. In the next 12 months: Drive forward specific components … correction). Help shape internal standards for data documentation , reproducibility , and metadata management . Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces. You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

modeling projects that use ML to identify immune signatures of disease or treatment outcomes. Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets. Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable. In the next 12 months: Drive forward specific components … correction). Help shape internal standards for data documentation , reproducibility , and metadata management . Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces. You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering More ❯

Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring … campaign measurement. Collaborative Development: Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay … to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field. More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯