National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning and Artificial Intelligence Internship

GE Vernova
Rugby
9 months ago
Applications closed

Related Jobs

View all jobs

GenAI Data Scientist

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

Machine Learning Engineer Trainer

Machine Learning Engineer Trainer

Machine Learning Engineer Trainer

GenAI Data Scientist

Summary We are opening a new 12 months fixed term position for a postgraduate internship in the area of Machine Learning and Artificial Intelligence. Job Description 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. About The Work We require for a Machine Learning and Artificial Intelligence intern. This role will include the study of machine learning techniques for our engineering applications, under the direction of our team members. The scope of work is expected to be, but not limited to Perform literature search on mathematical and statistical modelling, Machine Learning & Artificial Intelligence. Methods development The candidate is expected to perform methods reviews to improve the current regression and classification modelling capabilities already implemented in our in-house tool. Develop tools and processes, working in collaboration with our team members and external academic partners. Methods application Support of application of relevant methods to various engineering projects Requirement Postgraduate degree in Mathematics, Statistics, Machine Learning or Data Science. Experience in developing Machine Learning and Neural Network models. Experience with deep learning framework such as PyTorch or Keras. Strong Python programming skills. Good communication skills. Good, adaptable team worker, eager to learn and develop. Ability and confidence to work independently. Existing visa/permit to work in UK. Miscellaneous Starting date: November 2024 Duration: Up to 12 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 internship salary scale Additional Information Relocation Assistance Provided: No

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.