ML Engineer | Pre-seed startup | Protein / Molecules

General Description

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.

Read all the information about this opportunity carefully, then use the application button below to send your CV and application.

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. xwzovoh

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

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