3 of 3 Permanent Machine Learning Jobs in Stafford

excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will … be at the forefront of developing, deploying, and validating cutting-edge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud. Reporting … the company's mission to foster innovation, inclusivity, and progress. Job Description Essential Responsibilities: Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors. Create innovative analytics to optimize grid system performance and product differentiation. More ❯

models on edge or cloud-based systems. Job Description Essential Responsibilities: Develop and maintain database structures, schemas, and data models to support AI and machine learning applications. Utilize efficient storage technologies (Relational, Data Lakes, NoSQL, etc.) to manage data storage, access, and security. Design and implement scalable and … various sources into a unified format, tailored to specific business needs. Monitor, optimize, and ensure the scalability of data pipelines. Collaborate with Data Scientists, ML Engineers, and other cross-functional teams to meet data needs for AI/ML models and analytics. Develop and deliver innovative solutions in collaboration with More ❯

on designing, building, and maintaining the infrastructure and data pipelines that enable effective data collection, processing, storage, and analysis for cutting-edge AI/ML applications in the energy domain. Experience in the energy sector, smart infrastructure, or industrial automation is fundamental, as this role supports AI-driven innovation in … to increase efficiency and reliability. Apply data governance policies and implement data quality checks to ensure data integrity across systems. Collaborate with Data Scientists, ML Engineers, and other technical stakeholders to deliver relevant, ready-to-use datasets. Work closely with product management and R&D teams to gather requirements and More ❯