Senior Machine Learning Engineer at Faculty

Senior Machine Learning Engineer - Life Sciences

Lead the development of production-grade AI systems that optimize drug discovery and clinical development for global pharma giants and MedTech startups. You will architect end-to-end MLOps pipelines and scalable cloud infrastructure, ensuring complex models move from research to real-world healthcare impact. This is a technical leadership role driving life-changing medical innovation.

Location: London, UK

Why this role is remarkable:

• Work on mission-critical healthcare challenges, using AI to accelerate the delivery of life-changing therapies to patients faster than ever before.
• Join a prestigious, PhD-heavy engineering culture recently recognized by Gartner and slated for a strategic acquisition by Accenture in early 2026.
• Benefit from a high-variety consulting-style environment while enjoying world-class perks like an unlimited annual leave policy and private healthcare.

What you will do:

• Lead technical scoping and architectural decisions for high-impact ML systems, moving models from experimentation into production-grade software.
• Build and manage scalable infrastructure using Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP to support global operations.
• Mentor junior engineers and act as a trusted technical advisor to senior stakeholders, translating complex AI strategies into actionable engineering roadmaps.

The ideal candidate:

• Extensive experience operationalizing machine learning models at scale using Python and frameworks like TensorFlow or PyTorch within robust CI/CD workflows.
• Proven expertise in cloud architecture and container orchestration (Kubernetes/Docker) for building reliable, production-ready infrastructure.
• Strong technical leadership skills with the ability to navigate fast-paced environments and communicate complex engineering concepts to non-technical client partners.