# AI Data Engineer 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, build and maintain end-to-end da

- **Company:** The Francis Crick Institute (https://jobs.trythestack.co/companies/the-francis-crick-institute)
- **Location:** London, 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, SQL, Data modelling, AWS, GCP, Azure, Machine learning workflows, ML pipelines, CI/CD, Software engineering, Data engineering, Data pipelines, Data quality, Data security, Project management
- **Posted by employer:** 2026-04-07
- **Added to The Stack:** 2026-04-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://crick.wd3.myworkdayjobs.com/External/job/London/AI-Data-Engineer_R2636-1 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-data-engineer-the-francis-crick-institute

## About the role

Responsibilities:
- Design, build and maintain end-to-end data pipelines (batch and streaming) to support AI/ML workflows.
- Select and implement data storage, processing frameworks and orchestration tools in collaboration with senior engineers.
- Prepare, clean, transform and version datasets for model training, evaluation and inference.
- Implement data validation, schema enforcement and monitoring to ensure pipeline reliability and data quality.
- Work with data scientists and ML engineers to accelerate model training, deployment and reproducibility.
- Optimize infrastructure and workflows for large-scale ML workloads and ensure security and governance practices.
- Contribute to platform tooling, documentation and operational runbooks for AI data infrastructure.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science or related field.
- Strong programming skills in Python and SQL; experience building ETL/ELT pipelines.
- Practical experience with cloud platforms (AWS/GCP/Azure) and container/orchestration tooling.
- Familiarity with ML pipeline tools, data versioning and CI/CD for machine learning.
- Experience with data quality, monitoring, validation and data governance practices.
- Good communication skills and a collaborative mindset; able to work with research teams and engineers.
- Experience in biomedical or research environments is desirable but not required.

## Responsibilities

You will design and maintain scalable data pipelines to support AI and machine learning workflows while ensuring data quality and reliability. You will also collaborate with data scientists to prepare datasets and optimize infrastructure for model training and deployment.

## Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant field and possess strong programming skills in Python. Experience with SQL, cloud platforms, and machine learning pipelines is essential for this role.

## FAQ

- **Is this AI Data Engineer role still open?** It was posted on 2026-04-07. 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 London, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Data modelling, AWS, GCP, Azure, Machine learning workflows, ML pipelines, CI/CD, Software engineering, Data engineering, Data pipelines, Data quality, Data security, Project management.

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