Machine Learning Scientist

Do you have experience of building and adapting machine learning models with knowledge of computer vision or natural language processing? If so, come and join EDF as a Machine Learning Scientist!

The Opportunity

The Research & Development (R&D) team in the UK supports EDF in its business and commercial activities, contributing to international low carbon energy development and is an integral part of the EDF Group network, responsible for leading research and development activities in the UK. Our vision is ‘Driving research and innovation to go beyond Net Zero’. Through innovation, dedication, and a firm commitment to electric and renewable energy – we believe we can change!

We are looking for a talented Machine Learning Scientist to contribute to new and existing machine learning, data science and digital projects in collaboration with business units across EDF.

Pay, benefits and culture

Alongside a salary starting from £44,000 (DOE) and a market-leading pension scheme, we offer a range of flexible benefits to support our people across all aspects of their lives.

Your rewards package includes a choice of benefits, such as electric vehicle leasing, enhanced parental leave, health insurance, discounts and employee pricing.

Flexible working means you can work from home (if you wish) and we’ll provide a suite of IT equipment to ensure that you can work remotely comfortably and effectively. The team travel to our Hove office on a weekly basis.

Felipe Ferreira de Freitas, Machine Learning Scientist says “Nothing short than amazing, in the Digital Innovation team we are challenged every day to explore topics ranging from natural phenomena, large language models, quantum computing and many other exciting subjects. I love the diversity of problems and the freedom I have to try new tools to find new solutions that impact our daily life. If you love to work in environment that incentivises exploration, is driven by curiosity and is eager to find solutions that will help in fight climate change, and in the meantime explore really cool tech, Digital Innovation is the right place.”

At EDF, everyone’s welcome. We strive to create an inclusive and diverse environment where everyone has a voice and where you feel confident being yourself. We’re committed to equality, diversity and inclusion. We’d like our future workforce to have an equal gender balance, represent a broad mix of people from minority ethnic backgrounds, LGBTQ+, those with a disability and supporting social mobility. 

We’re a disability confident employer and we’ll do all we can to help with your application, making adjustments as you need. 

We’ll value the difference you bring and offer opportunities for you to thrive and succeed.

What you’ll be doing

As the Machine Learning Scientist, you will focus on the application of machine learning within the business, for example contributing to on-going projects such as defect-detection for wind turbine blades, extracting insights from smart meter data and exploring the use of large language models.

You will collaborate with other members of the Digital Innovation team to design and deliver high-quality data science projects that meet the needs of the business customers. This will involve scoping problems, assessing possible technical approaches, building proofs-of-concept, and implementing technical solution for use by the business.

This role will see you working on a variety of topics such as implementing deep learning algorithms, primarily for advanced computer vision or NLP, developing, implementing, and maintaining state of the art machine learning methods and exploring and implementing novel use cases involving generative AI and multimodal techniques.

You will also explore new projects such as machine learning for physical simulations or advanced text mining of our customer interactions.

Who you are

We are looking for somebody with a background of either computer science, data science, mathematics, or a related data-intensive field.  

You will have working knowledge of computer vision or natural language processing, python data science frameworks, data visualisation frameworks and other relevant libraries and toolkits. You’ll have experience with data analysis, data warehouses and big data technologies.

You’ll demonstrate strong communication skills, a proactive approach and enthusiasm for innovation and experimenting with cutting-edge technologies!

If this sounds like you then we’d love to hear from you!

Closing date for applications: 30th June 2024

Location: Hove/Hybrid

Join us and together we can help Britain achieve Net Zero.