Machine Learning & Artificial Intelligence Engineer

AL7324 GE Vernova Energy UK Limited; Rugby; On-site; GBP 70,000 - 100,000; Full time

Job summary

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.

Qualifications

• Post-graduate degree in Computer Science, Statistics, Machine Learning or Data Science.
• Strong background in Java programming and UI toolkits (Swing/JavaFX).
• Experience with Linux and Windows operating systems.

Responsibilities

• Develop ML/AI methodologies for engineering applications.
• Reconstruct APOW tool and develop new ideas.
• Design, test, and deploy ML pipelines into the in-house platform.
• Mentor and supervise a team of four engineers.
• Translate stakeholder requirements into actionable solutions.

Skills

Java

Machine Learning

MLOps

Python

Team mentoring

Communication

Linux

Windows

Education

Post-graduate degree in Computer Science, Statistics, Machine Learning or Data Science

Tools

APOW

Java Swing

JavaFX

Linux

Job description

Job Description Summary

Become part of a winning team and help to deliver the Green Energy transition. This position will be responsible for developing ML & AI methodologies.

Main focus of the role:

• APOW (Automated Process and Optimisation Workbench) - tool reconstruction, develop this tool and develop new ideas.
• Programming
• Machine Learning & AI
• Mentoring and supervising a team of 4

GE Vernova is a multi-national organisation, employing over 80,000 people worldwide. In the GE Vernova Gas Power Analytics & Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest is automation and optimisation of engineering design processes. We enjoy a multi-cultural working life at GE Vernova, and promote a friendly and productive working environment.

Job Description Roles and Responsibilities

We require for a computer science engineer. This role will include the study of ML-AI techniques for our engineering applications. The scope of work is expected to be, but not limited to AI Engineer and Machine Learning focus

• APOW (Automated Process and Optimisation Workbench) – tool reconstruction, develop this tool and develop new ideas.
• Mentoring and supervising a team of 4
• Design, develop, test, and deploy clean, modular, and well-documented pipelines to build machine learning components, integrating them into the in-house platform to support the adoption of AI tools by engineers.
• Maintain and enhance existing machine learning capabilities, including data management, computer vision and regression tools.
• Translate stakeholder challenges and requirements into actionable, effective solutions.
• Stay up to date with the latest advancements in AI techniques and tools to ensure the application of state-of-the-art solutions.

Qualifications

Post-graduate degree in Computer Science, Statistics, Machine Learning or Data Science. Experienced required

• Solid foundation of Digital and Web methodology implementation.
• Understanding of MLOps principles and practices.
• Significant Java programming skills, including Swing and Java-FX.
• Experience in Linux & Windows operating systems.
• Good communication skills.
• Good, adaptable team worker, eager to learn and develop.
• Ability and confidence to work independently.
• This role involves work for customers who manage critical infrastructure; based on customer requirements it will be necessary to carry out background checks and suitability assessments (e.g. UK Security Clearance (SC)) as part of the hiring process.

Hands on experience with (or similar tools) APOW: APOW (Automated Process and Optimization Workbench) is an in-proprietary software tool. It allows design and engineering teams to build automated computational workflows, minimise human error, and perform advanced multi-variable optimisation for complex engineering systems.

Core Functions and Capabilities

• Workflow Automation: Standardise routine calculation and simulation tasks (such as Computational Fluid Dynamics or CFD) to capture institutional knowledge.
• Mathematical Integration: Connects established workflows with math routines to evaluate system performance.
• Design Exploration: Runs Design of Experiments (DoE) to test how adjustments in shape or parameters affect overall output.
• Optimisation & Machine Learning: Integrates optimisation algorithms and surrogate modeling (like Kriging models) to accelerate design enhancements and uncertainty quantification (UQ).

Typical Engineering Applications

Used heavily in turbomachinery and power generation design. Optimises physical components like turbine endwalls, casings, and stators to improve aerodynamic efficiency and reduce emissions.

About Us

GE Vernova’s Power Conversion & Storage business provides electrification systems that are critical to customers’ power and energy needs for their high performance applications. We work with some of the world’s major energy, maritime and industrial organizations, helping to enable a transition to energy efficiency and decarbonization, including through our specialist motors, power electronics systems, electrical drives and control technologies that evolve today’s industrial processes for a cleaner, more productive future. We serve specialised sectors such as energy, marine, industry and all related services. GE’s Power Conversion business, part of GE Vernova, provides electrification systems that are critical to customers’ power and energy needs for their high-performance applications. We work with some of the world’s major energy, maritime and industrial organisations, helping to enable a transition to energy efficiency and decarbonisation, including through our specialist motors, drives and control technologies. Our engineers dedicated to Naval get involved in solving exciting challenges through leading the development and delivery of the engineering aspects of our projects. Projects that range from designing, de-risking and delivery of new power / propulsion and energy system solutions alongside digital & automation technologies to our UK and international customers both to surface and submarine systems. Research and development are key to what we do, and you will have the opportunity to influence and play a critical role in the successful execution of programs for future surface ships, submarines and future technology programs along with the growth of a unique world class facility, its optimised operations and the development of new capabilities, tools and processes.

Additional Information

Relocation Assistance Provided: No

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different ... we must be different. Our mission is embedded in our name. We retain our treasured legacy, "GE," in our name as an enduring and hard-earned badge of quality and ingenuity. "Ver" / "verde" signal Earth's verdant and lush ecosystems. "Nova," from the Latin "novus," nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com