Lead ML & AI Engineer for Engineering Optimization in Rugby

Lead ML & AI Engineer for Engineering Optimization in Rugby

Rugby Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of ML and AI solutions for engineering optimisation.
  • Company: Join GE Vernova, a leader in energy innovation.
  • Benefits: Attractive salary, mentoring opportunities, and cutting-edge projects.
  • Other info: Dynamic team environment with opportunities for professional growth.
  • Why this job: Make a real impact in engineering with advanced AI technologies.
  • Qualifications: Experience in ML/AI and strong leadership skills required.

The predicted salary is between 72000 - 88000 Β£ per year.

GE Vernova Energy UK Limited in Rugby is seeking an experienced Computer Science/ML engineer to develop ML and AI methodologies for engineering applications, including APOW tool reconstruction and new ideas.

You will design, test, and deploy pipelines and mentor a team of four.

You will translate stakeholder requirements into actionable solutions and stay up to date with AI advances, applying state-of-the-art methods within our in-house platform for engineers in power and propulsion design.

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Lead ML & AI Engineer for Engineering Optimization in Rugby employer: AL7324 GE Vernova Energy UK Limited

At GE Vernova, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team is dedicated to supporting employee growth through continuous learning opportunities and hands-on experience in cutting-edge engineering projects. Located in a vibrant area with access to global resources, we provide our engineers with the chance to make a meaningful impact in the energy sector while enjoying a supportive and inclusive workplace.

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Contact Details:

AL7324 GE Vernova Energy UK Limited Recruitment Team

We think you need these skills to ace Lead ML & AI Engineer for Engineering Optimization in Rugby

Machine Learning
Artificial Intelligence
Computer Science
Pipeline Design
Mentoring
Stakeholder Management
Engineering Applications