Machine Learning Scientist

• Holding a Master’s degree in Computer Science, Data Science, Mathematics or a related data-intensive discipline
• Building and adapting machine learning models, including transfer learning, training, fine tuning, evaluation metrics and explainability techniques
• Applying machine learning techniques within computer vision or natural language processing
• Using Python data science and visualisation libraries such as pandas, scikit-learn, statsmodels, matplotlib or seaborn, alongside deep learning frameworks such as TensorFlow or PyTorch
• Working with large datasets, data analysis, data warehouses, big data technologies and machine learning solutions
• Designing and building complex models or algorithms capable of operating autonomously on large datasets
• Finding, assessing and adapting solutions from the open-source ecosystem

Alongside a competitive starting salary, potential for an annual bonus, and a market-leading pension scheme, your package will include customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days, and more.

Everyone is welcome at EDF; we’re committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities. As a Disability Confident employer, we will support applicants requiring adjustments.

Join us and find your success at EDF!

Ready to shape how machine learning and AI solve real-world challenges across one of the UK’s leading energy businesses? At EDF, Success is Personal - and with us, your career journey is yours to shape.

The Opportunity

As a Machine Learning Scientist, you’ll play a key role in developing innovative digital and data science solutions that support EDF’s journey towards An Electric Britain. Working across diverse business areas, you’ll help deliver projects spanning machine learning, deep learning, computer vision, natural language processing and generative AI.

You’ll work with multidisciplinary teams to explore new technologies, test ideas and deliver machine learning solutions that solve real business challenges.

You’ll have opportunities to contribute to projects involving smart meter analytics, wind turbine blade inspection, large language models and other emerging AI technologies, helping to shape the future of digital innovation at EDF.

This is a hybrid role based from our #Hove office, with a minimum of two days per week in the office and the flexibility to work remotely for the remainder of your time.

You’ll be part of a collaborative Digital Innovation team where knowledge sharing, hack days, innovation events and exposure to international research networks help support your professional growth and career ambitions.

What You’ll Be Doing

• Designing, developing and adapting machine learning models to solve complex business challenges
• Exploring and implementing innovative applications of AI, including computer vision, natural language processing and generative AI
• Building proofs of concept and delivering production-ready data science solutions
• Working with large and varied datasets to extract insights and support data-driven decision making
• Collaborating with multidisciplinary teams and external partners to deliver impactful innovation projects, As you consider joining EDF Nuclear Operations, we want you to know what drives us. Our values are more than words, they shape how we work, how we grow, and how we support one another.

We move with agility, embracing change and responding quickly to new challenges and opportunities. This mindset keeps us innovative, adaptable, and ready to lead with proactive change.

We pursue excellence in everything we do. Whether it’s delivering high-quality outcomes, collaborating across teams, or investing in personal development, we are committed to doing our best and helping others do the same.

We act with integrity, always choosing to do what’s right. Trust, respect, and transparency are the foundation of our culture, and we hold ourselves accountable to the highest ethical standards.

These values are not just what we believe, they’re how we work. If they resonate with you, you’ll thrive here.