Senior AI - Computer Vision Engineer - UK at XYZ Reality | GB | Rezi

Senior AI - Computer Vision Engineer - UK at XYZ Reality

Senior AI - Computer Vision Engineer - UK

XYZ Reality · GB

1 weeks ago

Senior AI - Computer Vision Engineer - UK

XYZ Reality · GB

8 days ago
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About the Role

XYZ Reality is seeking a Senior AI / Computer Vision Engineer to develop the perception technology behind their Augmented Reality solutions for construction. This role involves solving complex computer vision problems at the intersection of the digital and physical worlds, enabling wearable technology to recognize construction objects and understand 3D environments. The position offers the chance to combine deep technical work with real-world impact on major construction projects.

Responsibilities

  • 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.
  • Develop automated BIM correspondence and object-matching capabilities.
  • Develop algorithms using multi-modal sensor data.
  • Combine AI, 3D vision, SLAM and BIM to develop geometric and spatial reasoning capabilities.
  • Explore emerging scene representation techniques including Gaussian Splatting and NeRFs.
  • Improve localisation-assisted perception and robustness across varying lighting, weather and real-world site conditions.
  • Design, train and evaluate large-scale deep learning models.
  • Develop data pipelines supporting supervised, self-supervised and semi-supervised learning.
  • Evaluate emerging foundation models, multimodal AI and modern computer vision techniques where they can add meaningful value.
  • Optimise models for embedded deployment, improving inference speed, accuracy and robustness.
  • Deploy and optimise models for embedded GPU platforms.
  • Build and improve production inference pipelines, benchmarking performance, latency and accuracy.
  • Contribute to technical architecture, design reviews and our technical direction.
  • Share knowledge and mentor other engineers as the team continues to grow.

Requirements

  • 5+ years’ industrial experience in Computer Vision, with strong hands-on experience solving complex technical problems.
  • MSc or PhD in Computer Vision, AI, Computer Science or a related discipline.
  • Experience with perception for autonomous or embodied systems, such as SLAM, sensor fusion or state estimation, would be valuable.
  • Deep expertise in 3D Computer Vision / Spatial AI, this is a core requirement for the role.
  • 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 computer vision 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, comfortable exploring emerging techniques while remaining focused on building robust, deployable products.
  • Strong debugging and problem-solving skills and the ability to work through complex, ambiguous technical challenges.
  • A collaborative approach and the ability to work effectively across multidisciplinary engineering teams.
  • Genuine depth in 3D / spatial computer vision and the ability to apply that expertise to complex, real-world engineering problems.
  • Curiosity about where computer vision and AI are heading, combined with a practical engineering mindset to turn emerging research into reliable technology.

Skills

  • 3D Computer Vision
  • Spatial AI
  • Computer Vision
  • AI
  • Machine Learning
  • Perception
  • Scene Understanding
  • SLAM
  • Sensor Fusion
  • State Estimation
  • Geometry
  • Spatial Relationships
  • Python
  • PyTorch
  • Semantic Segmentation
  • Object Detection
  • Image Understanding
  • Deep Learning
  • BIM
  • Gaussian Splatting
  • NeRFs

Location

  • Angel, London

Work Type

  • Hybrid

Experience Level

  • Senior

Education Level

  • MSc or PhD in Computer Vision, AI, Computer Science or a related discipline

About the Company

  • XYZ Reality has created the world's first engineering-grade Augmented Reality solution for construction, called The Atom, used on major construction projects globally.
  • The company's R&D team applies computer vision, spatial AI, and machine learning in demanding real-world settings like active construction sites.
  • XYZ Reality is a Series B business entering its next phase of growth, investing in R&D and expanding its team.