Machine Learning Engineer for Biomedical Discovery

crick; Greater London; On-site; GBP 55,000 - 63,000; Full time

Job summary

The Francis Crick Institute is recruiting a Knowledgeable Machine Learning Engineer to join the Software Engineering and AI team. You will design and deploy ML solutions that accelerate biological discovery, collaborating with researchers and technical specialists to build and support institute-wide applications and services.

You will apply strong Python software engineering, ML theory, and reproducible software practices to deliver quality solutions, while staying current with advances and

Qualifications

• Strong software engineering fundamentals in Python.
• Excellent understanding of machine learning theory and related mathematical principles.
• An understanding of reproducibility, repeatability and replicability for scientific software and experience of building and distributing reproducible software.
• Evidence of understanding good software engineering practice.
• Excellent communication skills, with the ability to build effective relationships at all levels and the ability to communicate technical concepts to a non-technical audience.
• Experience with containerised environments (Docker, Apptainer etc.).
• Experience running code on high-performance computing clusters (or equivalent cloud environment).
• Experience with LLM/agentic frameworks (such as LangChain, LlamaIndex, DeerFlow, Haystack, or others).
• Experience developing and evaluating agents, skills, tools, or MCPs.

Responsibilities

• Design and develop high-quality, maintainable software to meet project needs and deadlines (including the interpretation of project requirements and technical specifications across multiple research and operational domains).
• Collaborate effectively with internal scientists and core facilities as well as external partners, building solid working relationships across the institute and beyond.
• Collaborate within the team through peer review and co-development, maintaining quality standards.
• Assist in the planning of projects by assessing feasibility, prototyping, and providing time and resource estimates.
• Take a project through its lifecycle, through user engagement, scoping, prototyping, planning, delivery, and maintenance.
• Stay current in the field, and share knowledge/ideas across the team.

Skills

Python

ML theory

Reproducible software

Software engineering

Communication

Docker / Apptainer

HPC clusters

LangChain

Agents & MCPs

Tools

LangChain

Job description

The Francis Crick Institute is recruiting a Knowledgeable Machine Learning Engineer to join the Software Engineering and AI team. You will design and deploy ML solutions that accelerate biological discovery, collaborating with researchers and technical specialists to build and support institute-wide applications and services.

You will apply strong Python software engineering, ML theory, and reproducible software practices to deliver quality solutions, while staying current with advances and