Lead Machine Learning Engineer

GB.svg
United Kingdom
Location
London United Kingdom
London United Kingdom
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Hourly)
Undisclosed
-
Date posted
November 10, 2025
Job type
Full-time
Experience level
Mid level

Job Description

About Faculty


At Faculty, we transform organisational performance through safe, impactful and human-centric AI.

With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.

Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.

Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

About the team

Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies.

We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world.

About the role

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable.

This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.

What you'll be doing

  • Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.

  • Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.

  • Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.

  • Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.

  • Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.

  • Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.

  • Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.

Who we're looking for

  • You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.

  • You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.

  • You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.

  • You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.

  • You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.

  • You find novel, clever solutions for project delivery and take ownership for successful project outcomes.

  • You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.

The Interview Process

Talent Team Screen (30 minutes)
Introduction to the role (45 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial & Leadership Interview (60 minutes)

What we can offer you:

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

Apply now
Faculty is hiring a Lead Machine Learning Engineer. Apply through Homebase and and make the next move in your career!
Apply now
Companies size
501-1000
employees
Founded in
2014
Headquaters
London, United Kingdom
Country
United Kingdom
Industry
Computer Software
Social media
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