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ML Engineer | Pre-seed startup | Protein / Molecules

ML Engineer | Pre-seed startup | Protein / Molecules

Remote

London, United kingdom

£ 120,000 /year

Full Time

29-01-2026

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Skills

Research Training Machine Learning Deep Learning

Job Specifications

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

About the Company

We believe that advanced technology is paving the way to a more sustainable future. We believe in going the extra mile to provide our customers with a competitive edge. Since our inception in 2010, Cubiq has established a reputation for excellence in the delivery of high quality engineering talent to the most ground-breaking technology companies in the world. Cubiq methods are subtle, data-driven, and highly effective, which is how we have become widely recognised as leading experts within engineering and technology recr... Know more