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- Tasks: Develop and deploy innovative AI/ML models for energy grid solutions.
- Company: Join GE Vernova, a leader in sustainable energy innovation.
- Benefits: Flexible work environment, competitive benefits, and professional growth opportunities.
- Why this job: Make a real impact on the future of energy and sustainability.
- Qualifications: Master's or PhD in relevant fields with experience in energy or automation sectors.
- Other info: Collaborative culture focused on innovation and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
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 GE Vernova
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 GE Vernova
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?
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 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.
- 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 agreements
Competitive benefits, and great development opportunities – including private health insurance.
Additional Information
Relocation Assistance Provided: No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Seniority level
- Seniority levelMid-Senior level
Employment type
- Employment typeFull-time
Job function
- Job functionEngineering and Information Technology
- IndustriesElectric Power Generation
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Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experienc[...] employer: GE Vernova
Contact Detail:
GE Vernova Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experienc[...]
✨Network Like a Pro
Get out there and connect with people in the energy sector! Attend industry events, webinars, or even local meetups. The more you engage with others, the better your chances of hearing about job openings that might not be advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, experiences, and how you've tackled challenges in machine learning. This is your moment to shine and show them why you're the perfect fit for their team.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to align with their values and goals. Research GE Vernova’s projects and mention how your skills can contribute to their mission of electrifying and decarbonising the world.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining the GE Vernova team and being part of the energy transition.
We think you need these skills to ace Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experienc[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience in the energy sector and any relevant projects you've worked on. We want to see how your skills align with our mission at GE Vernova!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for electrifying and decarbonising the world, and explain why you're excited about this role. Let us know how you can contribute to our innovative team.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your experience with AI/ML frameworks, programming languages, and any cloud platforms you've worked with. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at GE Vernova
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in the context of energy and grid innovation. Be ready to discuss specific AI/ML techniques you've used, like supervised or reinforcement learning, and how they apply to real-world scenarios in the energy sector.
✨Showcase Your Experience
Prepare to share concrete examples from your past work in the energy, smart infrastructure, or industrial automation sectors. Highlight projects where you developed or deployed AI/ML models, focusing on the impact they had on performance or efficiency.
✨Get Familiar with MLOps
Since this role emphasises MLOps principles, be prepared to discuss your experience with deploying and maintaining ML models in production. Talk about any tools or frameworks you've used, like TensorFlow or PyTorch, and how you ensure models are continuously optimised.
✨Collaborate and Communicate
This position requires working closely with cross-functional teams, so be ready to demonstrate your teamwork skills. Share examples of how you've collaborated with others to solve complex problems, and emphasise your ability to communicate technical concepts clearly to non-technical stakeholders.
