Lead the development and deployment of production-grade AI systems for global pharmaceutical firms and MedTech innovators. You will architect scalable MLOps infrastructure, design end-to-end pipelines, and mentor junior engineers within a PhD-heavy team. This role bridges the gap between sophisticated machine learning research and reliable, real-world healthcare impact at scale.
Back to all jobs
See Open Roles
Learn about Jack
This job is no longer actively hiring. Open Roles to see active jobs.
Senior Machine Learning Engineer - Life Sciences at Faculty
Join a PhD-heavy team at one of the UK's most respected applied AI firms. As a Senior Machine Learning Engineer, you'll build the MLOps infrastructure and production-grade pipelines that help major pharma companies and MedTech startups get life-saving treatments to patients faster. Following a major acquisition move and recognition by Gartner as a category visionary, this role offers the perfect blend of high-growth startup autonomy and global-scale impact. If you have deep Python skills and experience scaling ML systems on Kubernetes, this is your chance to apply serious engineering rigor to the future of healthcare.
Want to apply for this role?
This role is no longer actively hiring, but Jack can still help you discover similar open roles that fit.
Location
London, United Kingdom
Compensation
Not Disclosed
Company
Faculty
Role overview
London, United KingdomGrowth (VC-backed)
Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.
Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.
Backed by Apax Digital Fund, LocalGlobe, GMG Ventures, GMG Ventures LP, Jaan Tallinn, Mercuri.
What you will do
- Lead technical scoping and architectural decisions for high-impact ML systems using Python, Docker, and Kubernetes.
- Design and build production-grade infrastructure on cloud platforms like AWS, Azure, or GCP to manage applications at scale.
- Act as a trusted technical advisor to senior stakeholders, translating complex AI concepts into actionable clinical and commercial strategies.
Who this is a fit for
- Extensive experience operationalizing machine learning models built with frameworks like TensorFlow or PyTorch within a production environment.
- Deep software engineering foundations with professional proficiency in Python and modern CI/CD workflows for machine learning (MLOps).
- Proven ability to lead projects in fast-paced environments, such as startups or consultancies, with strong communication skills for client-facing engagement.
Why this role is remarkable
- Work at the intersection of AI and healthcare, building solutions that accelerate drug discovery and clinical trial optimization for major pharma firms.
- Join a high-caliber team with deep technical rigor, including many PhDs, in a company recently recognized by Gartner as a Visionary in Decision Intelligence.
- Benefit from the resources of a global acquisition while maintaining a high-autonomy engineering culture that values technical depth and responsible AI.
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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
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 your profile’s a match and Faculty wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.