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Lead Machine Learning Engineer

Faculty· Engineering
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Hybrid (London)Full-timePosted 5mo ago

About the role

Lead the technical direction and delivery of complex, innovative AI projects within Faculty's Professional and Financial Services unit, balancing deep technical work with leadership, client-facing collaboration, and reusable solution development.

Responsibilities

  • 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 work-streams 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.

Qualifications

  • Strong Python skills and 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) and experience leading teams to build full-stack web applications.
  • Hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
  • Experience managing and coaching a team of engineers, setting team-wide development goals to improve client delivery.
  • Ability to communicate effectively with customers and guide both technical teams and non-technical stakeholders.

Skills

Required:PythonCloud platformsDockerKubernetesTeam leadershipCommunication
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Faculty partners with organisations to enhance performance through cutting-edge artificial intelligence solutions, driving real-world impact.

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