ML Engineer | Pre-seed startup | Protein / Molecules

About the role

I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security.

They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions.

They’re looking for an ML Engineer who:

• Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.)
• Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment
• Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces
• Can work closely with chemists and biologists, and actually make the models useful
• Has experience delivering in a fast-paced environment

You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap.

Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership.

Salary: £90,000 - £120,000 + generous equity