Lead Bio-ML Engineer
Oxford, UK
£100k+ & Equity
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
About The Company
I'm working with an early-stage biotech startup based in Oxford building machine learning-driven platforms for drug discovery. Their mission is to dramatically reduce the time and cost of bringing new therapies to market by combining computational biology, large-scale biological datasets, and modern ML techniques.
Backed by top-tier investors, they're a small, high-calibre team of scientists and engineers.
Overview
We’re hiring a Lead Bio-ML Engineer to take ownership of our core machine learning systems.
This is a high-impact, high-autonomy role where you’ll:
- Own the end-to-end ML lifecycle (data, modelling, deployment)
- Work closely with biologists to translate experimental problems into ML solutions
- Build and scale models across areas like sequence modelling, structure prediction, and multimodal biological data
- Shape the technical direction and ML roadmap
- Mentor and grow a small team as they scale
What You’ll Do
- Designing models for genomics, proteomics, and drug discovery pipelines
- Applying deep learning / foundation models to biological datasets
- Building robust, production-ready ML systems (not just research prototypes)
- Developing internal tooling for data pipelines, experiment tracking, and model evaluation
What They Want
Core experience:
- Strong background in machine learning / AI engineering
- Experience applying ML to life sciences, bioinformatics, or computational biology
- Production experience with Python + PyTorch / TensorFlow
- Track record of owning and shipping ML systems end-to-end
Nice to have:
- Experience with biological data (e.g. sequencing, protein structures)
- Familiarity with drug discovery xwzovoh or wet-lab collaboration
- Exposure to LLMs / foundation models in biology
- Previous startup or high-ownership environment
Recap
- High ownership: you’ll define and build critical systems from the ground up
- Real-world impact: your work directly contributes to therapeutic discovery
- Tight feedback loop: collaborate daily with domain experts
- Equity upside: meaningful stake in an early-stage company
- Small, elite team: no bureaucracy, just execution
Apply
Please apply here or reach out to me directly on LinkedIn/ via email ( ).
”, “datePosted”: “2026-05-04”, “hiringOrganization”: { “@type”: “Organization”, “name”: “UK CPC”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__422970444__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=559” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Oxford” } } }Lead Bio-ML Engineer
Oxford, UK
£100k+ & Equity
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
About The Company
I’m working with an early-stage biotech startup based in Oxford building machine learning-driven platforms for drug discovery. Their mission is to dramatically reduce the time and cost of bringing new therapies to market by combining computational biology, large-scale biological datasets, and modern ML techniques.
Backed by top-tier investors, they’re a small, high-calibre team of scientists and engineers.
Overview
We’re hiring a Lead Bio-ML Engineer to take ownership of our core machine learning systems.
This is a high-impact, high-autonomy role where you’ll:
- Own the end-to-end ML lifecycle (data, modelling, deployment)
- Work closely with biologists to translate experimental problems into ML solutions
- Build and scale models across areas like sequence modelling, structure prediction, and multimodal biological data
- Shape the technical direction and ML roadmap
- Mentor and grow a small team as they scale
What You’ll Do
- Designing models for genomics, proteomics, and drug discovery pipelines
- Applying deep learning / foundation models to biological datasets
- Building robust, production-ready ML systems (not just research prototypes)
- Developing internal tooling for data pipelines, experiment tracking, and model evaluation
What They Want
Core experience:
- Strong background in machine learning / AI engineering
- Experience applying ML to life sciences, bioinformatics, or computational biology
- Production experience with Python + PyTorch / TensorFlow
- Track record of owning and shipping ML systems end-to-end
Nice to have:
- Experience with biological data (e.g. sequencing, protein structures)
- Familiarity with drug discovery xwzovoh or wet-lab collaboration
- Exposure to LLMs / foundation models in biology
- Previous startup or high-ownership environment
Recap
- High ownership: you’ll define and build critical systems from the ground up
- Real-world impact: your work directly contributes to therapeutic discovery
- Tight feedback loop: collaborate daily with domain experts
- Equity upside: meaningful stake in an early-stage company
- Small, elite team: no bureaucracy, just execution
Apply
Please apply here or reach out to me directly on LinkedIn/ via email ( ).
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