4 of 4 Grid Computing Jobs in Staffordshire

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) 2 days ago Be among the first … applicants Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Get AI-powered advice on this job and more exclusive features. Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver … 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. More ❯

Are you excited to electrify and decarbonize the world? We are seeking a skilled Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. The role involves testing, validation, and verification of AI/ML models with grid data to ensure they meet standards in accuracy, performance, and operations. Reporting … to the AI leader in the CTO organization, the Data Scientist will collaborate with Grid Automation (GA), R&D, product management, and other GA functions. The ideal candidate will have experience in the energy sector, particularly in energy systems, grid automation, or related fields like smart infrastructure or industrial automation. They should understand how to apply data science … to develop, validate, and improve AI/ML models in complex, data-rich environments. Job Responsibilities Design experiments to test and validate AI/ML models in energy and grid applications. Establish validation frameworks to meet performance and business objectives. Develop test procedures with real and simulated grid data. Analyze model performance to ensure accuracy and scalability. Identify More ❯

electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. This role involves rigorous testing, validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards within … energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. The ideal candidate will have significant experience in the energy sector, specifically in energy systems and grid automation, or related domains such as smart infrastructure or industrial … and improve AI/ML models in complex, data-rich environments. Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in energy systems and grid automation. Establish validation frameworks to ensure models meet performance standards and business objectives. Develop test procedures to validate models with real and simulated grid data. Analyze model performance More ❯

and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards … within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. The ideal candidate will have significant experience in the energy sector, specifically in energy systems and grid automation, or in related domains such as smart … these complex and data-rich environments. Job Description Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications. Establish clear validation frameworks to ensure models meet required performance standards and business objectives. Establish test procedures to validate models with real and simulated grid data. More ❯