3 of 3 Permanent Machine Learning Engineer Jobs in the West Midlands

the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital … department. This is a hybrid role that offers flexible working options and will require occasional visits to Warwick or London. As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production … bugs, monitor operations, and provision the necessary infrastructure in Azure. Key Accountabilities Lead Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs More ❯

Job Title: Machine Learning Engineer – Point Cloud & AI Solutions Location: Birmingham - Remote (occasional travel) Salary: £50,000 - £90,000 DOE (Very flexible) About Us We are a multidisciplinary UK design and modelling team specialising in data-rich models derived from point cloud scans. Our work supports BIM … is to continuously enhance laser scanning and Scan2BIM workflows using smart, efficient, and AI-driven technologies. Role Overview We are seeking a highly skilled Machine Learning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven … team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection More ❯

We’re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure. Responsibilities: Lead ML projects from design to production deployment Build and manage data pipelines and More ❯