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.
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London, United KingdomNot Disclosed
Senior Machine Learning Engineer at Faculty - Applied AI Scaleup
Join Faculty’s elite Life Sciences team to build AI solutions that accelerate drug discovery and clinical development. As a Senior ML Engineer, you'll lead the architecture of production-grade systems for global pharma firms, leveraging Docker, Kubernetes, and major cloud platforms. Following a decade of success and a visionary recognition by Gartner, Faculty is scaling its impact even further through a strategic move to Accenture. If you’re a hands-on technical leader ready to apply serious engineering rigor to real-world healthcare challenges while enjoying unlimited leave and a PhD-heavy culture, this is the role for you.
Overview
Role overview
Company
Faculty
London, United KingdomGrowth (VC-backed)
Faculty - Applied AI scaleup and Decision Intelligence leader
Backed by Apax Digital Fund, LocalGlobe, GMG Ventures, GMG Ventures LP, Jaan Tallinn, Mercuri.
Responsibilities
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.
Candidate profile
Who this is a fit for
- 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.
What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Jack