About the role

Senior Machine Learning Scientist at Bactobio developing models to combat antimicrobial resistance through AI and biology integration. Collaborating with scientists to turn insights into actionable predictions for drug discovery.

Responsibilities

Turn high-level scientific goals into precise, data-driven research questions and methodologies.
Collaborate closely with lab scientists to design experiments to ensure that our data is robust and useful for meaningful ML.
Work with bioinformaticians and analytical chemists to shape omics and mass spec data for modelling.
Lead the development of ML methods to model microbial communities and predict metabolite production and activity, including the use of DNA and protein language models (or closely related sequence/foundation models).
Build, implement, and refine predictive models that accelerate discovery: guiding cultivation efforts, improving metabolite production, and optimising sample selection across various stages of our pipeline.
Contribute to our software platform, especially ML-driven data flow, data management, and making models usable by the scientists who rely on them.
Mentor and support others in the computational team, raising the bar on ML practice while keeping the culture collaborative and curious.

A PhD in machine learning, computational biology, bioinformatics, mathematics, or a related STEM field, or at least four years of ML-focussed industry experience.
Strong research or industry track record applying ML in biotech or adjacent scientific settings.
Deep understanding of statistical modelling and ML methods, and good judgement about when to use what.
Experience designing, training, and fine-tuning sequence models (genomic/proteomic language models, or closely related architectures).
Advanced proficiency in Python, with substantial experience in modern ML and data science tooling.
Comfort working with biological data (omics, sequences, experimental metadata) and collaborating with domain experts.
Proven experience shipping high-quality code in a collaborative environment, including readable, production-ready implementations.

Competitive starting salary
The chance to be part of a fun, multicultural, kind, ambitious and impact-driven crowd
Daily access to leaders and mentors in the business
Brand new, modern labs in Central London with dedicated office space, large balconies, and 360’ views of the London skyline, where we all spend 4 days per week (1 day working from home)
25 days holiday + bank holidays
Paid maternity leave (12 weeks) and paternity/new parent leave (6 weeks)
Up to 2 months of fully paid sick leave
Flexible start and finish times within the company’s core hours to fit your preferences
4 weeks of fully paid sabbatical leave after 5 years of service
Diverse team of colleagues (check out our website to meet us)
Weekly team activities including board games, sports activities, and socials
Complimentary snacks, fruits, tea, coffee, soft drinks,...
Access to 1000s of training courses through Udemy, with an allowance for both personal development and work-related training
Bike2Work scheme
Employee Assistance Programme offering structured counselling, life and career coaching, legal and financial advice