Senior Data Science Professional
4 days ago
About the Role:
We are seeking a Senior Machine Learning Researcher to join our team in Oxford, UK. The successful candidate will be responsible for developing and implementing cutting-edge multi-fidelity learning methods that combine experimental and computational data to enhance our enzyme design capabilities.
Key Responsibilities:
- Design and deploy active learning, Bayesian optimisation, and evolutionary design strategies to optimise our AI-generated enzyme design process.
- Create and refine multi-modal models, such as multi-head neural networks and multi-output Gaussian processes, to integrate diverse data sources effectively.
- Develop learning models that can operate under various constraints (cost, accessibility, etc.) and handle uncertainty and noise in data.
About You:
- You have a PhD in Machine Learning, Computer Science, Applied Mathematics, or a related field with a focus on multi-fidelity learning or similar approaches.
- You possess extensive experience with state-of-the-art learning paradigms, including active learning, Bayesian optimisation, and evolutionary design.
- You have strong expertise in developing and implementing multi-modal or multi-fidelity models, such as multi-head neural networks and multi-output Gaussian processes.
- You are proficient in Python and relevant machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn).
What We Offer:
- A competitive salary of £110,000 - £140,000 per annum.
- The opportunity to work with a leading company in the field of enzyme design.
- A collaborative and dynamic work environment.
- The chance to develop your skills and expertise in machine learning research.
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