# Software Engineer (Machine Learning) at The Francis Crick Institute

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, implement and maintain high-qual

- **Company:** The Francis Crick Institute (https://jobs.trythestack.co/companies/the-francis-crick-institute)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine learning theory, Software engineering, Containerised environments, Docker, Apptainer, High-performance computing, LLM frameworks, Agentic frameworks, LangChain, LlamaIndex, DeerFlow, Haystack, Reproducible software, Technical communication
- **Posted by employer:** 2026-09-04
- **Added to The Stack:** 2026-09-05
- **Listed until:** 2026-11-03
- **Status:** Active
- **Apply:** https://crick.wd3.myworkdayjobs.com/External/job/London/Software-Engineer--Machine-Learning-_R2872-1 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/software-engineer-machine-learning-the-francis-crick-institute

## About the role

Responsibilities:
- Design, implement and maintain high-quality, reproducible ML software and services in Python for research and institute-wide applications.
- Collaborate with scientists, core facilities and external partners to translate research requirements into technical specifications and working solutions.
- Take projects through the full lifecycle: scoping, prototyping, development, deployment and maintenance.
- Contribute to peer review, co-development, and team best practices to ensure code quality and reproducibility.
- Deploy and operate models and services in containerised and HPC environments (Docker/Apptainer), ensuring reliability and performance.

Requirements:
- Strong Python software engineering skills and solid understanding of machine learning theory and practices.
- Experience with containerised deployments and HPC workflows; familiarity with Docker and Apptainer.
- Practical experience with LLM and agentic frameworks (e.g., LangChain, LlamaIndex, DeerFlow, Haystack) and model deployment patterns.
- Ability to prototype quickly, estimate effort, document designs and communicate technical work to non-technical stakeholders.
- Demonstrable history of collaborative development, testing, and maintaining production-grade scientific software.

## Responsibilities

You will design and develop high-quality machine learning software to support scientific research and institute-wide services. You will also collaborate with scientists and technical specialists to take projects through their full lifecycle from scoping to deployment.

## Requirements

Candidates must have strong software engineering fundamentals in Python and a deep understanding of machine learning theory. Experience with containerised environments, high-performance computing, and LLM frameworks is also required.

## FAQ

- **Is this Software Engineer (Machine Learning) role still open?** It was posted on 2026-09-04. Listings more than 30 days old may no longer be active, so check The Francis Crick Institute's site before applying.
- **Does The Francis Crick Institute offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on The Francis Crick Institute's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Machine learning theory, Software engineering, Containerised environments, Docker, Apptainer, High-performance computing, LLM frameworks, Agentic frameworks, LangChain, LlamaIndex, DeerFlow, Haystack, Reproducible software, Technical communication.

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