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Faculty AI

Enterprise AI software and consulting services

Lead Computer Vision Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Deep understanding of state-of-the-art computer vision approaches, including machine learning and classical computer vision techniques applied to real-world problems.
  • Experience as a technical leader guiding teams and architecting systems with minimal oversight.
  • Track record of deploying computer vision models into production and handling practical deployment, performance, and latency considerations.
  • Ability to communicate technical concepts effectively to specialist colleagues and non-technical clients.
  • Meaningful experience in Python, including object-oriented programming, and ability to explore low-level components when necessary.
  • Interest in capability building through research and development accelerators and mentorship.

Responsibilities

  • Deliver hands-on computer vision work and architect technical solutions for complex project requirements.
  • Lead the technical delivery of computer vision projects and provide expert guidance to multidisciplinary teams throughout the development lifecycle.
  • Contribute expert computer vision insight to bids and identify opportunities to integrate advanced visual intelligence into customer solutions.
  • Keep current with state-of-the-art developments and share best practices across the business unit.
  • Represent the organisation internally and externally as a subject matter expert in computer vision.
  • Partner with leadership to define technical strategy for computer vision work and own capability development within the Defence domain.
  • Mentor and develop team members interested in computer vision.

About the Company

Faculty AI

Enterprise AI software and consulting services

Faculty AI provides AI as a service that combines strategy, software and hands-on delivery to help organizations implement AI solutions across sectors such as government, healthcare, retail and energy. Its Frontier decision intelligence software helps clients simulate and understand cause‑and‑effect relationships, while Faculty supports data work, model development and deployment through consulting and engineering delivery. The company differentiates itself by offering end‑to‑end, enterprise‑scale AI implementations centered on decision intelligence, backed by a track record with high‑profile clients like the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data‑driven by deploying scalable AI systems that improve efficiency, decision accuracy and operational performance, while expanding internationally.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$56.5M
Headquarters
London, United Kingdom
Founded
2014

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