Machine Learning Engineer for Scientific Discovery

The Francis Crick Institute; Greater London; On-site; GBP 47,000 - 63,000; Full time

Benefits offered by this job

Visas sponsorship

28 days annual leave

Pension scheme

Health & Well-being benefits

Job summary

The Francis Crick Institute is recruiting a Software Engineer (Machine Learning) to design, implement and deploy ML-powered software for cutting-edge biomedical research in a collaborative scientific environment.

You will work closely with researchers and engineers, applying strong Python and ML knowledge, containerization skills, and experience with modern LLM tooling to accelerate discovery on high-performance computing platforms.

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.
• 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

Scientific software

Software engineering practices

Communication

Docker

HPC/cloud

LangChain / LLM tools

Agents / MCPs

Tools

Docker

Apptainer

LangChain

LlamaIndex

DeerFlow

Haystack

Job description

The Francis Crick Institute is recruiting a Software Engineer (Machine Learning) to design, implement and deploy ML-powered software for cutting-edge biomedical research in a collaborative scientific environment.

You will work closely with researchers and engineers, applying strong Python and ML knowledge, containerization skills, and experience with modern LLM tooling to accelerate discovery on high-performance computing platforms.