
Senior Machine Learning Engineer (Remote)
- Horsham, West Sussex
- Permanent
- Full-time
- Collaborate closely with the founding team and scientific advisors to build and deploy scalable generative ML models on AWS and GCP, using Ray and Anyscale.
- Run large-scale distributed training and inference across thousands of GPUs.
- Develop robust ML tooling and libraries that support rapid experimentation and scaling.
- Design rigorous validation and benchmarking systems for high-quality model performance.
- Work autonomously and think critically to tackle open-ended, high-impact problems.
- Integrate biological feedback from wet lab experiments on proteins and cancer cells to continuously improve our models.
- Degree in computer science, applied math, computational biology, or a related quantitative field.
- 4+ years experience training and deploying deep learning models at scale.
- Strong software engineering skills, especially in building and maintaining ML libraries.
- Hands-on experience with distributed training and parallelized workloads.
- A proven ability to communicate scientific ideas, solve novel problems, and collaborate across disciplines.
- Experience with generative models, reinforcement learning, or NLP techniques.
- Peer-reviewed ML publications or contributions to open-source projects.
- Real impact - Your work directly contributes to drug discovery that can save lives.
- Leadership opportunities - Help shape the future of a growing startup.
- Scientific exposure - Publish research and attend top conferences (ICML, NeurIPS, ICLR).
- Vibrant work environment - Based at a very nice location, near great food and culture.
- Relocation & visa support - We'll help you move and settle in if you are interested.
- Health coverage - Full insurance including vision, dental, and prescriptions.
- Competitive compensation