--- title: 'Lead Computer Vision Engineer at Faculty' canonical: 'https://feeny.ai/job/lead-computer-vision-engineer-faculty-united-kingdom-nmrmbpzxfxth' type: 'job' last_seen: '2026-09-11' --- # Lead Computer Vision Engineer at Faculty - **Company:** [Faculty](https://feeny.ai/companies/faculty) - **Location:** United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-23 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/faculty/0c1b9fd6-83bd-43cc-8e3e-9acc0d5fb60d/application **Skills:** Computer Vision, Machine Learning, Python, Object-Oriented Programming, Low-Level Programming, State-of-the-Art (SOTA) Developments > Lead Computer Vision initiatives within the Defence sector, acting as a technical authority to architect sophisticated CV systems. The role involves delivering hands-on visionary work, leading technical delivery, winning new business, and mentoring team members while staying at the forefront of state-of-the-art tech... ## Job description Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact [here](https://faculty.ai/impact). We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ## About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. ## About the role We are seeking a visionary Computer Vision (CV) Specialist to lead our most ambitious AI initiatives within the defence sector. Bridging the gap between cutting-edge research and real-world deployment, you will act as a primary technical authority, architecting sophisticated CV systems that solve critical customer challenges. This is an entrepreneurial opportunity to shape our technical strategy, drive capability development, and represent the business unit as a thought leader. If you thrive on autonomy and want to push the boundaries of applying State-of-the-Art (SOTA) technology, this role offers the platform to make a definitive impact. What you'll be doing: - 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. Who we're looking for: - 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. The Interview Process - Talent Team Screen (30 minutes) - Introduction to the team (30 minutes) - Technical Interview (90 minutes) - Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. ## About Faculty ## Company Overview - **One-liner**: Faculty is a British AI company that builds and deploys safe, human-led AI systems to help organizations across government and industry make better decisions and improve performance. - **Entity Type**: Private (Growth Stage) - **Headquarters**: London, United Kingdom - **Founded**: 2014 - **Founders**: Dr. Marc Warner (CEO), Dr. Angie Ma, and Andrew Brookes (CTO) ## Core Business - **Primary industry/industries**: Artificial Intelligence, Machine Learning, Data Science, AI Safety - **Target customers**: B2B, Enterprise, Government (including UK Ministry of Defence, NHS, and leading global brands) - **Mission or purpose statement**: "Putting AI to work for the world" — making AI useful by helping clients access cutting-edge AI to improve business performance. ## Products & Services - **Frontier (AI Operating System)**: Faculty’s proprietary AI platform that serves as the backbone for building, deploying, and managing AI solutions at scale. It enables clients to operationalize AI across their organizations. - **AI Consulting & Solutions**: Custom AI projects for clients, spanning decision intelligence, predictive analytics, and process automation. Notable work includes the NHS Covid Early Warning System and mission-critical projects for the UK Ministry of Defence. - **Fellowship Programme**: A prestigious, highly selective program that retrains academics (PhD-level) into commercial data scientists. It has over 425 alumni and is considered one of the best in Europe. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Revenue has grown by more than 20x under the tenure of Chief Commercial Officer John Gibson. Specific revenue figures are not publicly available. - **Notable Investors/Partners**: Not publicly disclosed in detail, but the company has worked with hundreds of organizations globally, including the UK Government, NHS, and major brands. The CCO, John Gibson, is a member of the Innovate UK Council. - **Growth Signals**: - 663 total employees (as per Built In profile) - Revenue growth of 20x+ under current commercial leadership - Over 425 alumni from its Fellowship programme - Active hiring across multiple senior roles (ML Engineer, Research Scientist, Full Stack Engineer, Data Scientist) - Strong government and defense sector relationships ## Competitive Advantages - **Deep Government & Defense Ties**: Proven track record with the UK Ministry of Defence and NHS, creating a high barrier to entry for competitors. - **AI Safety Focus**: Explicit commitment to safe, human-led AI — a key differentiator as AI regulation and ethics become paramount. - **Proprietary Platform (Frontier)**: A mature, in-house AI operating system that provides a technical moat and enables rapid deployment. - **Elite Talent Pipeline**: The Fellowship programme creates a unique, high-quality talent pool of PhD-level data scientists. - **Decade of Focus**: The company has been exclusively focused on AI since 2014, avoiding hype cycles and building deep expertise. ## Strategic Focus - **Scaling AI Impact**: Moving from bespoke consulting to platform-driven solutions via Frontier. - **AI Safety Leadership**: Investing heavily in AI safety research and roles (e.g., Principal Research Scientist - AI Safety). - **Government & Enterprise Expansion**: Deepening relationships with public sector clients while expanding into new commercial verticals. - **Talent Development**: Continuing to grow the Fellowship programme and invest in internal training and development. ## Why Work Here - **Mission-Driven Work**: Employees work on "the world’s most important problems" — from pandemic response to national security. - **Autonomy & Trust**: The company emphasizes operating with "an unusual amount of trust and autonomy." - **Culture of Depth & Kindness**: Values include "Be Humble & Kind," "Seek Truth," and "Maximise Impact." The culture is described as intellectually rigorous but collaborative. - **Hybrid Work Model**: Based in London with a hybrid working policy. Some roles are listed as remote (UK-based). - **Strong Benefits Package**: Includes equity, performance bonuses, generous parental leave, health/dental/vision insurance, free snacks and drinks, employee discounts, and job training/conferences. - **Diversity & Inclusion**: Offers diversity-based Employee Resource Groups and publishes a Gender Pay Gap report. - **Elite Peer Group**: Described as a place where you work with "conspicuously smart and kind" people — a "professional challenge of a lifetime." ## Sources 1. [faculty.ai](https://faculty.ai/company) 2. [faculty.ai](https://faculty.ai/current-vacancies) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty) 4. [builtin.com](https://builtin.com/company/faculty-0) ## Other roles at Faculty - [Senior Manager](https://feeny.ai/job/senior-manager-faculty-london-9651z715vzmm) — London, United Kingdom - [Platform Engineer](https://feeny.ai/job/platform-engineer-faculty-london-f11p2az0kcse) — London, United Kingdom - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-faculty-london-79d036wwxsx4) — London, United Kingdom - [Delivery Manager (Safety)](https://feeny.ai/job/delivery-manager-safety-faculty-london-5j0k9ctbwe6d) — London, United Kingdom - [Frontend Engineer](https://feeny.ai/job/frontend-engineer-faculty-london-3djra6jpccye) — London, United Kingdom - [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-faculty-london-czxqccttb608) — London, United Kingdom - [Learning and Development Manager](https://feeny.ai/job/learning-and-development-manager-faculty-london-srqkx83pxwkj) — London, United Kingdom - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-faculty-london-4b4mw5w5vzj1) — London, United Kingdom - [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-faculty-london-h98ke65ga8nf) — London, United Kingdom - [Senior Manager - PE](https://feeny.ai/job/senior-manager-pe-faculty-london-3150yhf6c0qy) — London, United Kingdom