Relation
TechBio
ResearchEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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