ML Research Engineer, London
Core
Building and optimizing frontier AI models (Transformers, GNNs, Diffusion) to accelerate drug discovery and design novel molecules.
Role type
Senior Research Engineer (Machine Learning)
Builds
Predictive and generative AI models for rational drug design
Domain
Biopharmaceuticals / Computational Biology / AI
Deliverable
production ML models
Required skills
Deep learning frameworks (JAX, PyTorch), modern architectures (Transformers, GNNs, Diffusion), full ML lifecycle, software engineering, distributed systems training
Preferred skills
Research publications (NeurIPS, ICML, ICLR), low-level optimization (XLA, Triton, CUDA), domain knowledge in biochemistry/drug discovery, cloud infrastructure (GCP, Kubernetes)
Technologies
JAX, PyTorch, Transformers, GNNs, Diffusion models, XLA, Triton, CUDA, GCP, Kubernetes, Docker
Responsibilities
Translate research concepts into practical implementations; design and run experiments to evaluate model performance; optimize AI/ML models for inference and training; develop specialized tools and infrastructure; collaborate with scientists on foundational models.
Seniority
Senior, hands-on IC
