AI/ML Engineer for APOW & Engineering Optimisation in Rugby

AI/ML Engineer for APOW & Engineering Optimisation in Rugby

Rugby Full-Time 63000 - 77000 £ / year (est.) No working from home possible
GE Vernova

At a Glance

  • Tasks: Design and deploy cutting-edge ML pipelines to optimise engineering design.
  • Company: Join GE Vernova's innovative Gas Power Analytics team in Rugby.
  • Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
  • Other info: Collaborate with a talented team and stay ahead in AI advancements.
  • Why this job: Make a real impact in AI/ML while advancing your career in a fast-paced setting.
  • Qualifications: Post-graduate degree in CS/ML and strong Java skills required.

The predicted salary is between 63000 - 77000 £ per year.

GE Vernova's Gas Power Analytics & Digital engineering team in Rugby is seeking an AI/ML Engineer to advance automation, optimise engineering design, and mentor a team of four. You will design, test, and deploy clean ML pipelines, integrate them into the in‑house platform, and stay current with AI advances to deliver state‑of‑the‑art solutions for customers.

This role demands a post‑graduate CS/ML degree, strong Java, and cross‑functional collaboration in a fast‑paced environment.

AI/ML Engineer for APOW & Engineering Optimisation in Rugby employer: GE Vernova

GE Vernova in Stafford is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among engineers. With a strong commitment to employee growth, you will have access to ongoing training and development opportunities, as well as the chance to work on cutting-edge HVDC projects that make a real impact globally. The supportive environment and emphasis on teamwork ensure that every employee can thrive while contributing to sustainable energy solutions.

GE Vernova

Contact Details:

GE Vernova Recruitment Team

We think you need these skills to ace AI/ML Engineer for APOW & Engineering Optimisation in Rugby

AI/ML Engineering
Automation
Engineering Design Optimisation
Mentoring
Machine Learning Pipelines
Integration Skills
Java Programming