Senior Machine Learning Engineer at Faculty

Job Title

Senior Machine Learning Engineer – Life Sciences

Company Description

Faculty – Applied AI scaleup and Decision Intelligence leader

Job Description

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.

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