Machine Learning Engineer for Scientific Discovery

Francis Crick Institute; City Of London; On-site; GBP 50,000 - 61,000; Full time

Benefits offered by this job

Visa sponsorship

Health & wellbeing

Pension scheme

On-site restaurant

Job summary

The Francis Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications.

You will design, implement, and deploy solutions for complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility across

Qualifications

• Strong software engineering fundamentals in Python.
• Excellent understanding of machine learning theory and related mathematical principles.
• Experience with reproducible software and distributed pipelines.

Responsibilities

• Design and develop high-quality, maintainable software to meet project needs and deadlines (interpreting requirements and specs across research and operational domains).
• Collaborate with internal scientists and facilities and external partners to build relationships.
• Collaborate within the team through peer review and co-development, maintaining quality standards.
• Assist in planning projects by assessing feasibility, prototyping, and providing time/resource estimates.
• Lead a project through its lifecycle from engagement to delivery and maintenance.
• Stay current in the field and share knowledge across the team.

Skills

Python

Machine Learning

Software engineering

Communication skills

Reproducible software

LangChain / LlamaIndex

LLM frameworks

Cloud / HPC

Tools

Docker

Apptainer

Job description

The Francis Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications.

You will design, implement, and deploy solutions for complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility across