Senior Machine Learning Engineer (Remote)
Employer: Next Phase Recruitment
Location: Horsham, West Sussex, United Kingdom (Remote)
Classification: Research and Science
Visa: Skilled Worker
Job Description
Our client is a cutting-edge startup on a mission to cure diseases once thought untreatable. They develop generative machine learning algorithms to explore the vast space of proteins and design entirely new medicines.
Founded by scientists from world-class AI research labs and guided by leading minds in machine learning, they work at the frontier of deep learning, molecular simulation, and synthetic biology.
If you are excited by foundational science and real-world impact, this could be the role for you.
Responsibilities:
- Collaborate 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 for 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 models.
Requirements:
- Degree in computer science, applied mathematics, computational biology, or related field.
- 4+ years’ experience training and deploying deep learning models at scale.
- Strong software engineering skills, particularly in ML library development and maintenance.
- Hands-on experience with distributed training and parallelized workloads.
- Ability to communicate scientific ideas effectively, solve novel problems, and collaborate across disciplines.
Preferred Skills:
- Experience with generative models, reinforcement learning, or NLP techniques.
- Peer-reviewed ML publications or contributions to open-source projects.
What’s on Offer:
- 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 in a great location, near excellent food and culture.
- Relocation & visa support – Assistance with moving and settling in.
- Comprehensive health coverage – Including vision, dental, and prescriptions.
- Competitive compensation
Application process
If you’re interested click on official website to apply
