12 of 12 Model Validation Jobs in South Yorkshire

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 ❯

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 ❯

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 ❯

Social network you want to login/join with: Machine Learning Engineer - Outside £550p/d - eDV Cleared, Sheffield, South Yorkshire Client: iO Associates - UK/EU Location: Sheffield, South Yorkshire, United Kingdom Job Category: Other EU work permit required More ❯

across Android/iOS devices. Manual and automated testing using Appium , XCUITest , TestFairy . Data/ETL Testing Ensure accurate data flow, transformation, and validation in data pipelines. Work with SQL, Informatica , Talend , SSIS , Snowflake . Test models for accuracy, bias, and performance. Validate model predictions, fairness, and More ❯

across Android/iOS devices. Manual and automation testing using Appium , XCUITest , TestFairy . Data/ETL Testing Ensure accurate data flow, transformation, and validation in data pipelines. Work with SQL, Informatica , Talend , SSIS , Snowflake . Test models for accuracy, bias, and performance. Validate model predictions, fairness, and More ❯

elements (metadata, URL structure, redirects) are preserved. Create and implement a repeatable, testable migration process across multiple domains. Troubleshoot issues related to content formatting, model mismatches, and data validation within Contentful. Provide technical documentation for the migration process. Key Skills & Experience Proven experience with scripted content migrations, ideally More ❯

elements (metadata, URL structure, redirects) are preserved. Create and implement a repeatable, testable migration process across multiple domains. Troubleshoot issues related to content formatting, model mismatches, and data validation within Contentful. Provide technical documentation for the migration process. Key Skills & Experience Proven experience with scripted content migrations, ideally More ❯