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From the employer's careers site First seen 26 Oct 2026

Lead Machine Learning Engineer

Faculty London Hybrid senior Full-time

The employer hasn't listed a salary.

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Description

Faculty is looking for a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. As a technical expert, you will apply your skills across various projects from AI strategy to client-side deployments, ensuring architectural decisions are sound and reliable.

The 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.

Responsibilities:

  • Set the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
  • Design, implement, and maintain reliable, scalable ML/software systems and justify key architectural decisions.
  • Define project problems, develop roadmaps, and oversee delivery across multiple work-streams in often ill-defined, high-risk environments.
  • Drive the development of shared resources and libraries across the organisation and guide other engineers in contributing to them.
  • Lead hiring processes, make informed selection decisions, and mentor multiple individuals to foster team growth.
  • Proactively develop and execute recommendations for adopting new technologies and changing ways of working to stay ahead of the competition.
  • Act as a technical expert and coach for customers, accurately estimate large work-streams, and defend rationale to stakeholders.

Requirements:

  • 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.

Skills

Ready to apply?

You apply with the employer directly. Their original posting is here: https://jobs.ashbyhq.com/faculty/a43658bf-95da-4b10-8b51-9f921c5ffa67

Apply on Faculty