Founding Machine Learning Engineer
Employment Type: Permanent or Contract
The individual will join a recently funded biotech/AI company as an early technical hire, focused on building and deploying machine learning models for complex biological and scientific problems.
The role requires someone with strong mathematical, physics or machine learning foundations, who is comfortable working with sparse, noisy and limited datasets rather than relying on large, clean data environments.
Build, train and deploy machine learning models for complex real-world systems
Support the design of modelling approaches, evaluation methods and deployment strategies
Contribute to the technical direction of the company as an early/founding hire
Build practical ML solutions that can move beyond research into usable outputs
Strong background in Machine Learning, Mathematics, Physics, Computer Science or a related quantitative field
Proven experience building and deploying machine learning models
Comfortable working in an early-stage environment with high ownership
Biotech, life sciences or biological data experience
Experience in other complex/data-constrained industries such as nuclear, manufacturing, aerospace or similar
Experience working closely with scientific, research or experimental teams