Machine Learning Scientist

Posted Yesterday
Be an Early Applicant
Hove, Brighton and Hove, England, GBR
Hybrid
Entry level
Energy • Utilities • Solar • Renewable Energy
The Role
Develop and deploy machine learning and AI solutions for EDF business challenges. Responsibilities include designing models, building proofs of concept, delivering production-ready data science solutions, analyzing large datasets, and applying computer vision, natural language processing, and generative AI. The role collaborates with multidisciplinary teams and external partners on innovation projects involving smart meter analytics, wind turbine inspections, large language models, and emerging technologies.
Summary Generated by Built In
Job Description

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

Who You Are

We're looking for a Machine Learning Scientist who is passionate about digital innovation and enjoys solving complex problems through data science and AI. You'll be curious, adaptable and able to quickly learn and apply emerging technologies. You'll enjoy exploring new ideas and delivering practical solutions using modern machine learning techniques. Are you experienced in…?

  • 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

Pay, Benefits and Culture

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!

Our Values: What You Can Expect When You Join Us

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.

Closing date for applications is 29th September, interviews will follow shortly after on the 12th and 13th October.

#SuccessIsPersonal #EDFcareers #LI-Hybrid #DestinationNuclear

Additional Information

Success is Personal. It's your journey, powered by us. Join us and drive the transition towards An Electric Britain.

Skills Required

  • Master's degree in Computer Science, Data Science, Mathematics, or a related data-intensive discipline
  • Experience building and adapting machine learning models, including transfer learning, training, fine-tuning, evaluation metrics, and explainability techniques
  • Experience applying machine learning techniques within computer vision or natural language processing
  • Proficiency with Python data science and visualization libraries, including pandas, scikit-learn, statsmodels, matplotlib, or seaborn
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Experience working with large datasets, data analysis, data warehouses, big data technologies, and machine learning solutions
  • Ability to design and build complex models or algorithms capable of operating autonomously on large datasets
  • Ability to find, assess, and adapt solutions from the open-source ecosystem
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
11,717 Employees
Year Founded: 2002

What We Do

EDF Energy is a British integrated energy company that generates electricity and supplies natural gas and electricity to homes and businesses across the United Kingdom. It is a leading producer of zero-carbon electricity through nuclear, wind, and solar power.

Similar Jobs

JPMorganChase Logo JPMorganChase

Scientist

Financial Services
Hybrid
London, Greater London, England, GBR
289097 Employees

Expedia Group Logo Expedia Group

Scientist

AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Hybrid
London, Greater London, England, GBR
16000 Employees

JPMorganChase Logo JPMorganChase

Data Scientist

Financial Services
Hybrid
London, Greater London, England, GBR
289097 Employees

Depop Logo Depop

Scientist

eCommerce • Social Media
In-Office
London, Greater London, England, GBR
2436 Employees

Similar Companies Hiring

UL Solutions Thumbnail
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Chicago, IL
15000 Employees
Runwise Thumbnail
Greentech • Hardware • Real Estate • Software • Energy • PropTech
New York, NY
199 Employees
Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
108 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account