Join Faculty’s Life Sciences team to lead the development of production-grade AI systems for pharma and MedTech leaders. You will own the full ML lifecycle—from technical scoping and architecture to deployment and monitoring. This hybrid London role balances deep engineering with client advisory to deliver AI solutions that accelerate life-changing healthcare therapies.
Senior Machine Learning Engineer at Faculty
Join Faculty’s Life Sciences team as a Senior Machine Learning Engineer and lead the deployment of AI solutions that optimize the research of life-changing therapies. This £110k-£130k role offers a rare mix of architectural ownership, deep Python engineering, and high-stakes client advisory for major pharma and MedTech firms. You’ll be moving the needle on real-world healthcare challenges using production-grade AI, not just chasing hype. With over 350 global customers and a decade of experience, Faculty is the perfect place for an autonomous engineer to build a measurable positive legacy in AI.
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Location
London, United Kingdom
Compensation
£110k-£130k
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 scalable, production-grade machine learning systems meeting rigorous ethical and operational standards.
- Design and build robust ML software and infrastructure using Python, Docker, and Kubernetes across major cloud platforms like AWS, Azure, or GCP.
- Act as a trusted technical advisor to senior stakeholders, translating complex AI concepts into actionable strategies that solve critical healthcare challenges.
Who this is a fit for
- Significant experience operationalizing models built with TensorFlow or PyTorch, transitioning them from training environments into monitored, live production systems.
- Expert-level Python software engineering skills with a focus on building reusable systems and a deep understanding of cloud infrastructure and containerization.
- Excellent communication skills with the ability to guide both technical teams and non-technical client stakeholders through complex architectural trade-offs.
Why this role is remarkable
- Lead high-impact projects within the Life Sciences sector, partnering with major pharma firms and MedTech startups to optimize the commercialization of life-changing therapies.
- Own the entire path from model to monitored production system, exercising significant autonomy over architectural decisions and deployment standards across the business.
- Join a mature, intellectually curious culture at one of the UK’s most respected AI consultancies with a decade-long track record of success.
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.
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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.