Machine Learning Engineer – AI for Grid Innovation & Energy Transition (Energy Sector Experience Required)

GE Vernova

  • Stafford, Staffordshire
  • Permanent
  • Full-time
  • 29 days ago
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you 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 to the AI Director within the CTO organization, this position offers the opportunity to work collaboratively with Grid Automation product lines, R&D teams, and other business units to create impactful, sustainable, and inclusive solutions across energy systems, smart infrastructure, and industrial automation. Your expertise in automation, AI, and their integration into these domains will be essential in shaping the company’s mission to foster innovation, inclusivity, and progress.Job DescriptionEssential 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.
  • Develop AI/ML applications for customer-driven use cases, including predictive maintenance and load forecasting.
  • Validate and verify AI/ML proof-of-concepts in real-world environments, ensuring they meet the diverse needs of our customers.
  • Monitor, maintain, and optimize deployed AI/ML models to continuously enhance their accuracy and performance.
  • Manage the collection, structuring, and analysis of data to enable seamless AI/ML applications.
  • Ensure that models are production-ready and continuously improve in line with emerging needs and technologies.
  • Embrace MLOps principles to streamline the deployment and updating of ML models in production.
  • Collaborate closely with cross-functional teams to identify business challenges and deliver AI-driven solutions that are efficient, equitable, and scalable.
  • Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge.
Must-Have Requirements:
  • Master’s or PhD in Computer Science, Information Technology, Electrical Engineering, or a related field.
  • Proven experience in the energy, smart infrastructure, or industrial automation sectors, with expertise in system protection, automation, monitoring, and diagnostics.
  • Strong foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs).
  • Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Hands-on experience deploying ML models in production environments using MLOps principles.
  • Expertise in relevant AI/ML applications, such as predictive maintenance, load forecasting, or optimization.
  • Proficiency in programming languages such as Python, R, MATLAB, or C++.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
Nice-to-Have Requirements:
  • Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala).
  • Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies.
  • Understanding of system automation, protection, and diagnostics in relevant sectors.
  • Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains.
  • Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering inclusive environments.
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.About GEV Grid Solutions:At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.Why we come to work:At GEV, our engineers are always up for the challenge - and we’re always driven to find the best solution. Our projects are unique and interesting, and you’ll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you’ll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.What we offer:A key role in a dynamic, international working environment with a large degree of flexibility of work agreementsCompetitive benefits, and great development opportunities - including private health insurance.Additional InformationRelocation Assistance Provided: No

GE Vernova