Senior Machine Learning Engineer (£110k-£130k) at Faculty

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Job Title

Senior Machine Learning Engineer

Salary

£110k-£130k

Company Description

Faculty is an established London-based AI consultancy founded in 2014 that has delivered human-centric AI solutions to over 350 global customers. Specializing in high-impact sectors like government, finance, and life sciences, they focus on building responsible, production-grade technology that solves complex real-world challenges for organizations worldwide.

Job Description

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.

Location

London, UK

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.

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.

The ideal candidate

• 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.

Who are Jack \& Jill?

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.

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.

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.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.