AI Data Engineer at The Francis Crick Institute

✨ The Stack take on this The Francis Crick Institute job

• 🏢 The Francis Crick Institute has 3 jobs here, 3 with visa sponsorship see all
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide

Updated 2026-11-05, from our data and official sources.

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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.

Key skills

• Python — in 1200 other listings on The Stack
• SQL — in 545 other listings on The Stack
• Data modelling — in 24 other listings on The Stack
• AWS — in 802 other listings on The Stack
• GCP — in 169 other listings on The Stack
• Azure — in 143 other listings on The Stack
• Machine learning workflows — not in any other listing on The Stack
• ML pipelines — in 5 other listings on The Stack
• CI/CD
• Software engineering
• Data engineering
• Data pipelines
• Data quality
• Data security
• Project management

On The Stack (as of 2026-11-05)

• The Francis Crick Institute has 2 other listings on The Stack, 2 of them marked as offering visa sponsorship.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 47 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about The Francis Crick Institute

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.