Machine Learning Engineer (BioAI)

TL;DR

Machine Learning Engineer (BioAI): Leading the development of a bacterial genome anomaly detection system with an accent on bespoke algorithm design and genomic data analysis. Focus on rapid iteration, creativity, and scientific curiosity to create impactful ML models.

Location: Remote-first (UK)

Salary: £70,000 – £100,000

Company

A BioAI startup developing next-generation diagnostic technologies for bloodstream infections using machine learning and DNA sequencing.

What you will do

• Design and implement bespoke anomaly-detection models for bacterial genomes
• Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation
• Conduct rapid, iterative research, evaluating ideas through experiments
• Collaborate with bioinformatics, microbiology, and software teams
• Analyse large-scale proprietary genomic datasets
• Ship prototype code to third-party partners for testing

Requirements

• MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline
• Demonstrated ability to apply ML methods to biological or genomic data
• Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn
• Understanding of bioinformatics workflows
• Experience working with large or complex genomic datasets
• Strong communication skills for cross-functional collaboration