Senior Machine Learning Engineer - Computer Vision

Location: Hybrid, United Kingdom

An innovative AI company developing advanced computer vision solutions for industrial inspection and quality control. The business is expanding its technology across industrial sensing, robotics and edge computing, helping manufacturers improve inspection accuracy and automation through AI-driven systems.

We're looking for a Senior Machine Learning Engineer with a strong hands-on background in industrial vision, hardware and sensing technologies to help develop the next generation of inspection systems.

This is a practical, hardware-focused role involving the exploration, prototyping and testing of new technologies across cameras, sensors, optics, lighting and edge computing. You'll take ideas from initial concept through to working prototypes, evaluating new technologies and developing solutions that can be deployed in real-world industrial environments.

Working closely with machine learning, software and engineering teams, you'll help identify new opportunities, build proof-of-concept systems and turn successful experiments into scalable, reliable products.

• Design, prototype and validate industrial inspection systems across 2D, 3D, advanced sensing and edge computing.
• Evaluate emerging cameras, sensors, optics, lighting and embedded systems to identify opportunities for new inspection capabilities.
• Build and test proof-of-concept hardware, developing practical solutions to complex inspection challenges.
• Benchmark edge computing platforms, assessing performance, latency, memory usage, thermal behaviour and deployment requirements.
• Support computer vision model deployment using technologies such as ONNX Runtime, TensorRT and OpenVINO.
• Develop and maintain hardware prototypes, sensor rigs and portable demonstration systems for testing and customer applications.
• Troubleshoot image quality issues, including lighting variation, glare, blur, calibration drift and inconsistent image capture.
• Work with cross-functional teams on industrial integration, including PLCs, robotics, camera triggering and industrial networking.
• Document testing, performance results and technical recommendations to support product development and deployment.
• Identify promising technologies and recommend which hardware and sensing solutions should progress to further development and commercial application.

• Strong commercial experience with industrial vision systems, inspection hardware, sensing technologies, robotics or factory automation.
• Hands-on experience with industrial cameras, lenses, lighting, optics, exposure, calibration and image acquisition.
• Experience evaluating or deploying edge computing platforms for computer vision applications.
• Strong Python programming skills for prototyping, testing, automation and hardware integration.
• Experience troubleshooting computer vision systems, from image acquisition through to model deployment and runtime performance.
• Familiarity with OpenCV and image processing techniques.
• Experience designing experiments, benchmarking hardware and evaluating technical performance.
• Ability to develop practical prototypes and turn complex technical challenges into workable solutions.
• Strong communication skills, with the ability to work across engineering, product and commercial teams.
• Experience with advanced sensing technologies, including 3D cameras, laser scanners, stereo vision, thermal, hyperspectral or X-ray imaging.
• Knowledge of ONNX Runtime, TensorRT, OpenVINO, model quantisation or edge inference optimisation.
• C or C++ experience, particularly in hardware integration or performance-critical applications.
• Experience integrating vision…