Bioinformatics Applied AI Engineer

Bactobio

. Collaborate daily with wet-lab scientists to turn ambiguous scientific decisions into well-specified tasks with clear success criteria .

Posted 9/15/2026full-timeLondon • United KingdomJuniorMid-Level💰 £45,000 - £65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered workflows, particularly in bioinformatics and metabolomic chemistry, while collaborating effectively with cross-functional teams. Proficient in Python and knowledgeable in LLMs, knowledge graphs, and modern ML tooling.

Highest-signal resume keywords

Master's Or PhD In Quantitative FieldStrong Understanding Of LLMsProficiency In PythonExperience In ML And Data Science ToolingBiological Data Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceData ArchitectureModel DeploymentKnowledge GraphsBioinformaticsMetabolomic ChemistryPython ProgrammingML ToolingProduction Code Shipping

Soft Skills

CollaborationCommunicationProblem-Solving

Industry Keywords

BiotechOmicsExperimental MetadataData PipelinesBenchmarking Infrastructure

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Collaborate daily with wet-lab scientists to turn ambiguous scientific decisions into well-specified tasks with clear success criteria
Design and build multi-step LLM workflows that query biological data and knowledge graphs and produce recommendations with traceable reasoning
Build benchmarking infrastructure and curate evaluation datasets
Keep up with frontier model capabilities and iterate on models, prompts, tool design, and orchestration
Contribute to the software platform, especially data architecture, pipelines, and model/workflow deployment
Work with microbiologists, chemists, automation and software engineers, and the business development team
Build AI-powered workflows that drive insight in bioinformatics and metabolomic chemistry

Requirements

What you’ll need

A Master's or PhD in a quantitative field with a significant ML/AI component, or at least two years of ML/AI-focused industry experience
Strong understanding of LLMs, including tool use and evaluation
Strong understanding of knowledge graphs and multimodal data
Comfort working with biological data, including omics and experimental metadata
Proficiency in Python
Substantial experience in modern ML and data science tooling
Research or industry track record applying ML in biotech or adjacent scientific settings is a differentiator
Experience shipping production code in a shared codebase is a differentiator

Benefits

Comp & perks

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
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
4 weeks of paid sabbatical leave after 5 years of service
Diverse team of colleagues
Complimentary snacks, fruits, tea, coffee, soft drinks
Access to 1000s of training courses through Udemy, with an allowance for personal development and work-related training
Bike2Work scheme
Employee Assistance Programme offering structured counselling, life and career coaching, legal and financial advice