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Lead Computer Vision Engineer

Faculty· Defence
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Hybrid (Remote (UK))Full-timePosted 6mo ago

About the role

Lead and architect state-of-the-art computer vision (CV) initiatives within Faculty’s Defence team, bridging cutting-edge research and real-world deployment, and acting as a technical authority and thought leader.

Responsibilities

  • Delivering high impact, hands-on computer vision work and architecting technical solutions for complex project requirements.
  • Leading the technical delivery of CV projects and providing expert guidance to multidisciplinary teams throughout the development lifecycle.
  • Winning new business by contributing expert CV insight to bids and identifying opportunities to integrate advanced visual intelligence into customer solutions.
  • Staying at the forefront of the field by mastering SOTA developments and sharing best practices across the business unit to maintain a competitive edge.
  • Representing the organisation both internally and externally as an authoritative voice and subject matter expert in computer vision.
  • Partnering with leadership to define the technical strategy for CV work and taking ownership of capability development within the Defence domain.
  • Mentoring and developing talented team members who share an interest in CV, fostering an environment of continuous learning and technical excellence.

Qualifications

  • You possess a deep understanding of State-of-the-Art Computer VisionAI approaches and feel confident applying both machine learning and classical computer vision techniques to real-world problems.
  • You are an experienced technical leader who enjoys the challenge of guiding teams and turning real world problems into architecting system architectures with minimal oversight.
  • You have a proven track record of deploying CV models into production environments and navigating the practicalities of real-world deployment, performance and latency.
  • You bring a collaborative and entrepreneurial mindset, with the ability to communicate technical concepts effectively to both specialist colleagues and non-technical clients.
  • Your background includes meaningful experience in Python, including object-oriented programming, and you are comfortable exploring low-level components when necessary.
  • You are passionate about capability building, whether through developing R&D accelerators or helping others sharpen their technical skills through mentorship.

Skills

Required:State-of-the-Art computer visionProduction deployment of CV modelsLeadership and mentoringPython programming
Last updated Oct 21, 2026. Interested? Apply on the company site.
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