Light Grey Kablio Logo
Kablio AI
AI Turbo Recruiter
Want to hear how I work? Hit play.Kablio AI applies for you. You just show up to the interviewKablio AI helps you secure roles in construction, clean energy, facilities management, engineering, architecture, sustainability, environment and other physical world sectors.
3D Shield
Get hired, get rewarded!
Land a job through Kablio and earn a 5% salary bonus.
Exclusive benefits
5%Bonus
Ge Vernova

Machine Learning Engineer – AI for Grid Innovation & Energy Transition

Company logo
Ge Vernova
Energy tech co. that designs, builds, services gas, nuclear, hydro, steam & wind power systems globally.
Develop, deploy, and validate AI/ML models for grid innovation and energy transition.
6d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Stafford, England, United Kingdom
Office Full-Time
Company Size
76,800 Employees
Service Specialisms
Energy Services
Digital Solutions
Sustainability
Smart Grid Technologies
Consulting
Sector Specialisms
Power
Gas Power
Steam Power
Nuclear
Hydro Power
Wind
Onshore Wind
Offshore Wind
Role
What you would be doing
ai integration
mlops
model development
model monitoring
predictive analytics
data management
  • Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge.
  • Validate and verify AI/ML proof-of-concepts in real-world environments, ensuring they meet the diverse needs of our customers.
  • 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.
  • Develop AI/ML applications for customer-driven use cases, including predictive maintenance and load forecasting.
  • Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors.
  • Monitor, maintain, and optimize deployed AI/ML models to continuously enhance their accuracy and performance.
  • Create innovative analytics to optimize grid system performance and product differentiation.
  • Collaborate closely with cross-functional teams to identify business challenges and deliver AI-driven solutions that are efficient, equitable, and scalable.
  • Manage the collection, structuring, and analysis of data to enable seamless AI/ML applications.
What you bring
tensorflow
pytorch
aws
docker
python
phd
  • Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Proven experience in the energy, smart infrastructure, or industrial automation sectors, with deep expertise in system protection, automation, monitoring, and diagnostics, typically acquired through a minimum of 5 years within a multinational manufacturing company.
  • Master’s or PhD in Computer Science, Information Technology, Electrical Engineering, or a related field.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
  • Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies.
  • Hands-on experience deploying ML models in production environments using MLOps principles.
  • Strong foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs).
  • Proficiency in programming languages such as Python, R, MATLAB, or C++.
  • Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains.
  • Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala).
  • Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering inclusive environments.
  • Understanding of system automation, protection, and diagnostics in relevant sectors.
  • Expertise in relevant AI/ML applications, such as predictive maintenance, load forecasting, or optimization.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
April 2024
Founded
The company emerged from the spin-off of GE's energy units in April 2024.
>$10B Quarterly Revenue
Revenue Growth
Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.
$3B
Wind Turbine Backlog
Maintains a significant backlog in wind turbine orders, reflecting strong market demand.
25%
Global Electricity Supply
Contributes to generating 25% of the world’s electricity through its installed turbines and grids.
  • Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
  • Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
  • On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
  • Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
  • Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
  • Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.
Culture + Values
  • Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
  • Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
  • Prioritizes excellence, integrity, and accountability in everything they do.
  • Committed to driving real change through technology and partnerships that will transform the global energy landscape.
Environment + Sustainability
2050 target
Net zero commitment
Committed to achieving net zero carbon emissions by 2050.
  • Focused on reducing emissions through advanced energy technologies.
  • Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
  • Solutions aim to decarbonize industries and help customers meet their sustainability goals.
Inclusion & Diversity
Big Kablio Logo
Kablio AIIf you're someone who helps build and power the world (or dreams to), Kablio AI is your pocket-sized recruiter that gets you hired.
Copyright © 2025 Kablio