faculty - Lead Computer Vision Engineer
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Requirements
• 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. • THE INTERVIEW PROCESS • 1. Talent Team Screen (30 minutes) • 2. Introduction to the team (30 minutes) • 3. Technical Interview (90 minutes) • 4. 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.
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.
Benefits
• 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. • Unlimited Annual Leave Policy • Private healthcare and dental • Enhanced parental leave • Family-Friendly Flexibility & Flexible working • Sanctus Coaching • Hybrid Working • 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.
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