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.