Computer Vision / Machine Learning Engineer
  
A high-growth deep-tech firm is building advanced machine vision systems for automation and quality assurance. The focus is on solving real-world spatial problems - not just training models, but deploying full systems into production environments.
  
This is a role for someone who wants to work end-to-end - from raw sensor data through to deployed solutions that directly impact customers.

What You’ll Be Doing

• Develop computer vision and perception algorithms across image + 3D data
• Work with cameras and multi-sensor inputs to build spatial understanding
• Design solutions involving point clouds, image processing, and sensor fusion
• Take ideas from prototype to production-ready systems
• Optimise for performance, robustness, and real-world reliability
• Collaborate closely with engineers - reviewing, iterating, and building together

What You’ll Bring

• 5 years’ industry experience (ideal: PhD + commercial exposure)
• Experience programming in C++ and Python/Go
• Strong grounding in mathematics, algorithms, and 3D problem solving
• Experience working with sensor data (LIDAR, cameras, etc.)

What Actually Matters

• You enjoy solving hard, real problems, not just applying libraries
• You build and experiment outside of work
• You collaborate naturally - no lone wolves
• You take ownership, but work as part of a team

Nice to Have

• Point clouds, SLAM, or 3D reconstruction
• GPU/CUDA or performance optimisation
• Any exposure to hardware systems

Why This Role

• Work on real 3D vision problems with real data
• Direct impact - your work ships to customers
• Engineering-led, collaborative culture
• Fast iteration, high ownership, no bureaucracy

If this role sounds like a good fit, you can click Apply and send through your details. Or you can email me at far••@aeyandassociates.com