Senior AI - Computer Vision Engineer - UK
Senior AI/Computer Vision Engineer building the 3D spatial perception and scene-understanding systems behind XYZ Reality's engineering-grade AR wearable (The Atom) for construction sites. Day-to-day: developing segmentation/detection and BIM-matching algorithms in Python/PyTorch, plus SLAM, foundation models and embedded GPU deployment. Hybrid role at the Angel, London office (2-3 days/week).
- Compensation
- Not disclosed
- Location
- London Office
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5+ years industrial experience in Computer Vision
- MSc or PhD in Computer Vision, AI, Computer Science or related discipline
- Deep expertise in 3D Computer Vision / Spatial AI (core requirement)
- Strong understanding of geometry, spatial relationships and scene understanding
- Experience developing and deploying computer vision and deep learning systems in production
- Strong Python development skills and expert knowledge of PyTorch
- Experience with semantic segmentation, object detection, image understanding and modern CV architectures
- Experience designing and training large-scale deep learning models and working with large image datasets
- Strong mathematical foundations in machine learning and computer vision
- Ability to bridge research and production engineering
- Strong debugging and problem-solving skills for complex, ambiguous technical challenges
- Collaborative approach across multidisciplinary engineering teams
Nice to have
- Experience with perception for autonomous or embodied systems (SLAM, sensor fusion, state estimation)
Full description
Senior AI / Computer Vision Engineer
Build the spatial AI behind the future of construction
At XYZ Reality, we've created the world's first engineering-grade Augmented Reality solution for construction. Our technology, The Atom, is already being used on major construction projects around the world to help teams build more accurately, efficiently and with fewer mistakes.
Our R&D team applies computer vision, spatial AI and machine learning to one of the most demanding real-world settings there is: the active construction site.
We’re looking for a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to join the team and help develop the perception technology behind our products.
As a Series B business entering our next phase of growth, we're investing in our R&D capability and growing our team. This great opportunity will be based out of our Angel, London office on a hybrid basis, 2-3 days per week.
The Role
This is an opportunity to solve computer vision problems that exist at the intersection of the digital and physical world.
You’ll develop the perception and scene-understanding systems that enable our wearable technology to recognise construction objects, understand complex 3D environments, and relate what’s on site to the design model, using real-world sensor data.
For this role, 3D / spatial computer vision expertise is fundamental. We’re looking for someone who understands how AI and computer vision can reason about physical space, not simply someone with broader AI or machine learning experience.
You’ll work across research, algorithm development, optimisation, deployment and productisation, taking sophisticated computer vision techniques and turning them into robust technology capable of performing on active construction sites.
You’ll bring senior technical expertise to the team as we build our capability and presence in Calgary. You’ll also collaborate closely with our Navigation, Embedded Software, Hardware and Product teams across the wider business.
This is a role where you can combine deep technical work with real-world impact, seeing the algorithms and systems you develop ultimately deployed through wearable technology on some of the world's most complex construction projects.
What You’ll Be Doing
- Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence.
- Design and develop semantic segmentation, object detection and instance segmentation models.
- Build algorithms capable of understanding 3D environments, spatial relationships and physical geometry.