10 of 10 Biology Jobs in London

defend your results Experience with training and evaluation data pipelines, including reproducibility and observability Nice to have Background in a life science domain, biology, chemistry, medicine, or bioinformatics Post-training experience on LLMs Peer-reviewed publications or other settings where your ideas were stress-tested Open source contributions to scientific ...

defend your results. - Experience with training and evaluation data pipelines, including reproducibility and observability. ## Nice to have - Experience in a life-science domain (biology, chemistry, medicine, bioinformatics). - Post-training experience on LLMs. - Peer-reviewed publications, or other settings where your ideas were stress-tested. - Open source contributions ...

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 ...

turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong ...

very own bespoke ECT induction, as well as work alongside a range of young & experienced Secondary Teachers. We are currently looking for teachers for: Biology (Science) Chemistry (Science) Geology (Science) Natural Sciences (Science) Mathematics & Physics (Science) Mathematical Sciences (Maths) Physics (Maths) Computer Science Engineering Does this sound like the Science ...

Lifecycle Management: Manage schema lifecycles via GitHub-based repositories, semantic versioning, tagged releases, and metadata catalogues. Stakeholder Collaboration: Partner with Scientific Knowledge Engineering, Causal Biology SMEs, Data Engineering, and Platform teams. ...

+ 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 ...

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 ...

Hybrid) | 💰 £145,000+ & Significant Equity 🧬 AI Drug Discovery Startup | Full-time About Us We’re an AI-native biotech company building foundation models for biology to transform how new medicines are discovered. By combining large-scale multimodal biological datasets with probabilistic machine learning and generative AI, we’re developing systems … distributed systems experience Ability to balance research innovation with engineering execution Excellent communication and stakeholder management skills Nice to Have Experience in biotech, computational biology, or AI for science Familiarity with molecular modelling, protein representation learning, or biological datasets Publications or contributions in advanced ML research Experience scaling ML organisations ...

Track record of translating cutting-edge research into scalable production systems Highly Desirable Experience applying machine learning to protein engineering, antibody discovery, or computational biology Familiarity with antibody sequence datasets, immune repertoire modelling, or protein language models Experience with structural biology data including AlphaFold, protein embeddings, or molecular simulation outputs … prediction, or therapeutic optimisation workflows Experience with diffusion models, graph neural networks, or generative protein design approaches Publications in machine learning, protein modelling, computational biology, or AI for Science Why Join? Build frontier AI systems focused on one of the most impactful areas in modern biotechnology Help create foundation models ...