Research Scientist (Machine Learning), London

Overview

As a Research Scientist in ML, you will build greenfield ML models and algorithms to power our drug discovery platform. You will work in a fast-paced, interdisciplinary setting alongside engineers and scientists to advance predictive modelling and creative AI solutions. You will lead or contribute to ambitious ML research projects, mentor others, and help shape our research roadmap. Your work will directly impact how we accelerate scientific discovery and medicine.

Pay / Benefits

• hybrid working
• equal employment opportunities
• accommodation on disability or needs

Responsibilities

• Contribute to ML research directions by applying state-of-the-art algorithms to drug discovery
• Identify and design novel ML techniques and training data
• Develop architectures and training algorithms for ML models
• Analyse and tune experimental results to guide future work
• Implement and scale training and inference frameworks
• Present research findings clearly to ML and cross-disciplinary teams
• Collaborate with scientists and domain experts
• Lead or mentor ML research projects and teams (depending on experience)
• Foster an inclusive, collaborative research culture

Key requirements

• PhD or equivalent practical experience in a technical field
• Proven track record in machine learning with deep learning (architecture design, experimentation, analysis, visualization)
• Strong knowledge of linear algebra, calculus and statistics
• Experience with ML frameworks (JAX, PyTorch, TensorFlow) and scientific libraries (NumPy, SciPy, Pandas)
• Passion for applying ML research to real-world problems
• Project supervision, leadership, or management experience (depending on experience)

• collaboration
• mentorship
• leadership
• deep learning
• machine learning architectures
• graph neural networks

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