Job Description Summary This position will be responsible for developing ML & AI methodologies You will contribute to the team and works with directions or independently. Job Description About the Work We require for a ML-AI 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 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. Requirements Post-graduate degree in Mathematics, Statistics, Machine Learning or Data Science. Solid foundation of Machine Learning and Deep Learning Concepts (CNN, Transfer Learning, Regularisation Techniques, Optimisation Methods, Image processing) and tools such as PyTorch, TensorFlow, Pandas, Skit-learn, OpenCV, Plotly Understanding of MLOps principles and practices Experience in developing Data Analytics models. Strong Python programming skills. Good communication skills. Good, adaptable team worker, eager to learn and develop. Ability and confidence to work independently. Existing permit to work in UK. Miscellaneous Starting date: November 2025 Duration: 24 months Location: Work will be based at GE Vernova Power, Rugby, Warwickshire. CV21 1BD (remote working will be an option). Working hours: 37.5 hours per week Holiday: 2 days per month Payment: Based on GE Vernova salary scale About Us 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. Additional Information Relocation Assistance Provided: No