Machine Learning Scientist

Overview

As a Machine Learning Scientist at EDF, you will develop and deploy AI-driven solutions across diverse business areas to support the transition to An Electric Britain. You will work with cross-functional teams to translate complex data challenges into production-ready models spanning ML, computer vision, NLP, and generative AI. Your work includes proofs of concept, production-ready pipelines, and collaboration with external partners to push digital innovation. This role offers exposure to cutting-edge AI technologies and a hybrid work pattern from the Hove office.

Pay / Benefits

• competitive starting salary
• annual bonus potential
• market-leading pension
• electric vehicle leasing
• discounted gym membership
• life assurance

Responsibilities

• Design, develop and adapt ML models to address business challenges
• Explore and implement AI applications including CV, NLP, and generative AI
• Build proofs of concept and deliver production-ready data science solutions
• Work with large varied datasets to extract insights for data-driven decisions
• Collaborate with multidisciplinary teams and external partners on innovation projects

Key requirements

• Master in Computer Science, Data Science, Mathematics or related data-intensive discipline
• Experience building and adapting ML models with transfer learning, training, fine-tuning, evaluation metrics and explainability
• Experience applying ML in computer vision or NLP
• Proficiency in Python data science and visualization libraries (pandas, scikit-learn, statsmodels, matplotlib, seaborn) and DL frameworks (TensorFlow or PyTorch)
• Experience working with large datasets, data warehouses, big data technologies and ML solutions
• Ability to design and build complex models capable of operating autonomously on large datasets
• Experience finding and adapting open-source solutions

• Curiosity
• Adaptability
• Strong learning aptitude
• Python data science libraries: pandas, scikit-learn, statsmodels, matplotlib, seaborn
• Deep learning frameworks: TensorFlow, PyTorch
• Computer vision and NLP applications

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