Software Engineer (Machine Learning)

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

Salary for this Role:

From £55,000 with benefits, subject to skills and experience.

Job Title:

Software Engineer (Machine Learning)

Reports to:

Amy Strange

Closing Date:

04/Oct/2026 23.59 GMT

Job Description:

Job Title: Software Engineer (Machine Learning)

Details of the role:

Working pattern : This is full time permanent position on Crick terms and conditions of employment.

Salary: From £55,000 with benefits, subject to skills and experience

Application closing date: 4th of October 2026 at 23.59

About us

The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.

The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy.

About the role

We are recruiting for a knowledgeable Machine Learning Engineer to join the Software Engineering and AI team at the Francis Crick Institute.

Working closely with researchers and technical specialists, you will help develop innovative machine learning solutions that accelerate scientific discovery, while also contributing to the development and support of institute wide applications and services.

As part of a collaborative team of engineers, you will apply your expertise to design, implement and deploy solutions to complex biological challenges and play a key role in supporting and advancing world leading scientific research

What you will be doing

• 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

About you

You will have:

• 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*
• Minimum criteria*

About Working at the Crick

Our values

• Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture.
• We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently.
• We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world.
• We are collegial . We show respect for one another, work cooperatively and support the wider community.

Inclusivity

At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that