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Machine Learning Scientist – Digital Twins

Roc Searchlondon, london🇬🇧United KingdomPosted 6 Aug 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to drive innovation in the energy sector using advanced machine learning and digital twin technology, fostering significant career growth and skill development. You'll thrive here if you're passionate about solving complex challenges with large datasets and possess a strong background in ML, time series analysis, and deep learning. Don't miss out on the chance to make a real impact and advance your career in a forward-thinking company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
london, london, United Kingdom
Machine LearningDeep LearningPyTorchPythonTensorFlow

Job Description

🚀 Machine Learning Scientist | AI for Energy | Hybrid


We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques.


If you're passionate about solving complex real-world problems and enjoy working with large-scale data, we'd love to hear from you.


You'll be working with:

  • Time series forecasting and analysis
  • Digital twins
  • Surrogate modelling
  • Deep learning models
  • Real-world energy datasets to optimise performance and decision-making


We're looking for someone with:

  • Strong experience in Machine Learning and Python
  • Commercial experience with time series modelling
  • Knowledge of digital twins and/or surrogate modelling
  • Deep learning experience (TensorFlow, PyTorch or similar)
  • A passion for applying AI to complex engineering challenges


This is a fantastic opportunity to join a fast-growing business where your work will have a genuine impact on the future of sustainable energy.


If you're interested, or know someone who might be, get in touch for a confidential chat.

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