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Computer Vision Engineer at Faculty | London

FacultyLondon
Hybrid Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsProficiency in computer vision algorithms and techniques. Experience with machine learning frameworks and tools. Strong programming skills in Python and/or C++. Ability to translate complex technical concepts into practical applications. Excellent communication and collaboration skills. Experience in the defence sector is a plus but not essential.

About the job

Faculty partners with organizations around the world to deliver practical, responsible AI solutions. Since 2014, the company has worked on more than 350 client projects across sectors including government, finance, retail, energy, life sciences, and defense. Faculty focuses on human-centric AI and measurable outcomes. More information about Faculty’s work is available here.

Defence Team

The Defence team develops AI systems that support national security and global stability. Projects emphasize ethical, reliable AI for high-stakes environments. Team members collaborate closely with clients, often working on-site to make sure solutions address real-world needs.

This role requires eligibility for UK Security Clearance (SC). Expect to work on client sites in the UK two to four days per week, with travel as needed. When not on-site, work can be done from the London office or remotely within the UK.

Role overview

The Computer Vision Engineer leads AI projects for defence clients, shaping technical direction and connecting advanced research to practical deployment. As the main technical authority, this person will design and implement computer vision systems that address critical client challenges.

This position offers the chance to influence technical strategy, introduce new capabilities, and build a reputation as a thought leader within the team. It suits engineers who value autonomy and want to advance the state of the art in computer vision.

About Faculty

Faculty is dedicated to leveraging AI to create meaningful change across various sectors. Our commitment to responsible innovation ensures that we provide our clients with AI solutions that are ethical, effective, and impactful.

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