Relation

TechBio

ResearchEngineer

London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Research Engineer at Relation. Skills: Machine Learning, Python, ML Engineering. Work with interdisciplinary teams. Solve challenges across data engineering”

What You'll Achieve.

Drive disease understanding; Deliver meaningful impact for patients; Drive development of ML systems; Drive deployment of ML systems; Drive scaling of ML systems; Improve research workflows; Support rapid experimentation; Strengthen training pipelines; Strengthen inference pipelines; Improve software foundations; Optimise hybrid on-prem/cloud environment; Deliver meaningful outcomes

Industry & Context.

TechBio
Problems you'll solve

Solve complex problems; Solve challenges

What They're Looking For.

Must Have

BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience, Solid understanding of algorithms, Solid understanding of data structures, Solid understanding of complexity, Proficiency in Python, Clean coding practices, Maintainable coding practices, Solid understanding of ML fundamentals, Solid understanding of modern deep learning, Experience training models, Experience evaluating models, Experience iterating on models, Familiarity with AWS/GCP, Familiarity with Docker, Familiarity with Kubernetes, Familiarity with CI/CD, Familiarity with orchestration tools, Familiarity with model-serving frameworks

Nice to Have

Exposure to biology/bioinformatics, Exposure to ML for scientific domains

What You'll Do.

Work with interdisciplinary teams

Solve challenges across data engineering

Solve challenges across ML engineering

Solve challenges across software engineering

Build data processing systems

Improve data processing systems

Build transformation systems

Improve transformation systems

Build loading systems

Improve loading systems

Support model training

Support inference at scale

Develop research codebases

Maintain research codebases

Develop production codebases

Maintain production codebases

Enable rapid experimentation

Enable reproducible experimentation

Advance software engineering practices

Improve robustness across workflows

How You'll Work.

Team & Collaboration

Work in highly interdisciplinary teams; Collaborate with machine learning scientists; Collaborate with data scientists; Collaborate with platform engineers; Collaborate with domain experts; Operate in a cross-functional capacity; Partner with colleagues across multiple teams; Contribute expertise; Align to shared company priorities

Communication Scope

Communicate openly; Communicate directly; Give feedback constructively; Receive feedback constructively; Handle challenging conversations with respect

Full Job Description

ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Join our machine learning group as a Research Engineer and help drive the development, deployment, and scaling of ML and computational systems across the company. You’ll work at the intersection of research and engineering—improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. You’ll collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, you may work within a specific ML team or operate in a cross-functional capacity. Based at our wet/dry lab and headquarters in central London, you’ll tackle challenges involving large datasets, complex mod

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