
Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 | 6-12 months Contract Length
Posted 4 days ago by Owen Thomas | Pending B Corp™ on Linkedin
Negotiable
Outside
Remote
United Kingdom
Summary: The Principal Machine Learning Engineer will lead the technical direction for structural biology models within a drug discovery B2B platform. This fully remote role requires expertise in transformer-based models for protein structure prediction and involves mentoring engineers and researchers. The successful candidate will influence technical strategy and collaborate with teams to ensure practical applications in scientific discovery. A strong background in machine learning and computational biology is essential for this high-impact position.
Key Responsibilities:
- Define approaches for data preprocessing, selection, and benchmarking for training tasks involving protein structures and multimodal biological datasets.
- Design and implement model extensions for predicting protein complex interactions and binding affinities.
- Provide mentorship and guidance to team members on structural biology modeling projects.
- Lead the technical strategy for machine learning applications in structural biology.
- Influence decisions regarding model architecture, data infrastructure, and deployment strategies.
- Collaborate with other teams to ensure models meet scientific discovery needs.
- Contribute to scientific publications or open-source projects.
- Develop and maintain scalable, production-ready machine learning systems.
Key Skills:
- PhD or equivalent experience in machine learning, computational biology, or structural biology.
- Extensive experience in building and training transformer-based models using frameworks like PyTorch.
- Understanding of data challenges in structural biology and ability to design scalable workflows.
- Experience delivering machine learning systems at scale, including CI/CD pipelines and distributed training.
- Proficiency with modern MLOps tools and infrastructure, such as Docker and Kubernetes.
- Adept at navigating complex technical environments and executing ambitious modeling initiatives.
- Understanding of how structural biology models contribute to drug discovery.
Salary (Rate): 1200
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT