Lead Machine Learning Engineer

The role

You will spearhead the technical direction and delivery of complex AI projects. You will act as a technical expert across AI strategy and client-side deployments while leading teams and building reusable solutions.

What you will do

• Setting the technical direction for complex ML projects.
• Designing, implementing, and maintaining reliable, scalable ML/software systems.
• Defining project problems and developing roadmaps.
• Overseeing delivery across multiple workstreams in high-risk environments.
• Driving the development of shared resources and libraries.
• Leading hiring processes and making selection decisions.
• Mentoring multiple individuals to foster team growth.
• Developing and executing recommendations for adopting new technologies.
• Acting as a technical expert and coach for customers.
• Estimating large work-streams and defending rationale to stakeholders.

Required qualifications

• Strong Python skills.
• Practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS).
• Led teams to build full-stack web applications.
• Hands-on experience with containerisation tools like Docker.
• Hands-on experience with orchestration via Kubernetes.
• Can successfully manage and coach a team of engineers.
• Excellent communicator.

Before you apply

• Must be eligible for UK Security Clearance (SC).
• Willing to work between 2 to 4 days per week on-site with customers.
• Interview process includes Talent Team Screen, Introduction to the role, Pair Programming Interview, System Design Interview, and Commercial & Leadership Interview.

About the company

Faculty was established in 2014 to transform performance through human-centric AI. They work with over 350 global customers across government, finance, retail, energy, life sciences and defence.