3 of 3 Biology Jobs in Central London

Machine Learning Engineer - AI Drug Discovery

Hiring Organisation
CT19
Location
City of London, London, United Kingdom
computational drug discovery tools. This is an opportunity to join a highly technical, multidisciplinary team working at the intersection of machine learning, chemistry, biology and software engineering. You'll play a key role in developing production-grade ML systems, supporting scientific innovation, and helping deliver impactful solutions used by researchers ...

Senior Machine Learning Engineer

Hiring Organisation
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Location
City of London, London, United Kingdom
+ Equity 🧬 AI Biotech Startup | Full-time About Us I'm working with an AI-first biotech company building foundation models for biology and chemistry to radically accelerate drug discovery. By combining probabilistic modelling, large-scale biological datasets, and generative machine learning, they're creating systems capable of reasoning across … similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems design capabilities Nice to Have Background in computational biology, drug discovery, or bioinformatics Experience working with molecular, genomic, or protein datasets Familiarity with diffusion models, energy-based models, or probabilistic generative methods Publications ...

Research Engineer

Hiring Organisation
Cubiq Recruitment
Location
City of London, London, United Kingdom
distributed training, accelerator optimisation, experiment orchestration, large-scale data infrastructure and research tooling. You’ll work closely with researchers across machine learning and computational biology to improve training performance, increase experimentation velocity and help scale increasingly ambitious model development efforts. This is a role for someone who enjoys operating close … work. That could include frontier AI labs, foundation model teams, large-scale multimodal systems groups or high-performance distributed ML environments. Experience in biology is not required. The team is far more interested in engineers who understand how to make ambitious research systems work reliably at scale ...