At a Glance
- Tasks: Develop machine learning models to optimise energy performance and decision-making.
- Company: Innovative AI company transforming the energy sector.
- Benefits: Hybrid work model, competitive salary, and impactful projects.
- Other info: Join a fast-growing team with exciting career opportunities.
- Why this job: Make a real difference in sustainable energy with cutting-edge technology.
- Qualifications: Experience in machine learning, Python, and deep learning frameworks.
The predicted salary is between 63000 - 77000 Β£ per year.
π 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 (Tensor Flow, Py Torch 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.
π© If you're interested, or know someone who might be, get in touch for a confidential chat.
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