About Relation
Relation is an end-to-end biotech 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 directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting‑edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio companies. At the heart of London, our state‑of‑the‑art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. We believe that innovation flourishes through diversity and collaboration. As an equal opportunities employer, we are committed to building inclusive teams where everyone can contribute their unique perspectives and thrive.
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 models, and high‑performance compute. Your work will strengthen our training and inference pipelines, improve our software foundations, and optimise our hybrid on‑prem/cloud environment, which includes dedicated DGX clusters and collaboration with partners like NVIDIA.
Your Responsibilities
* Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering.
* Build and improve data processing, transformation, and loading systems to support model training and inference at scale.
* Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation.
* Advance our software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows.
Education & Experience
* BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience.
Core Skills
* Solid understanding of algorithms, data structures, complexity.
* Proficiency in Python with clean, maintainable coding practices.
* Familiarity with PyTorch and common scientific Python libraries.
ML Expertise
* Solid understanding of ML fundamentals and modern deep learning.
* Experience training, evaluating, and iterating on models.
Infrastructure
* Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD.
* Familiarity with orchestration tools (Airflow/Prefect) and model‑serving frameworks.
Nice to Have
* Exposure to biology/bioinformatics or ML for scientific domains.
Personally, you are:
* A collaborative team player, able to work and communicate effectively with stakeholders from diverse backgrounds and technical abilities.
* Passionate about science and making a real difference for patients.
* Self‑motivated, curious and driven to succeed.
* User‑minded: you think about how datasets and models will be used downstream.
* Comfortable working independently and taking initiative.
Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and drug discovery. The patient is waiting!
Relation is a committed equal opportunities employer.
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