Machine Learning Engineer - Robotics & Perception. Chetwynd Aston LilyLifestyle

Are you ready to take your career to the next level by working on cutting‑edge technology in the agricultural sector? This is your opportunity to be part of an innovative company that is revolutionizing the way agriculture operates at their UK R&D facility. As a Machine Learning Engineer - Robotics & Perception, you will play a pivotal role in developing intelligent systems that are deployed in real‑world environments, making a tangible impact on the industry.

By helping design, train, and deploy perception systems from image segmentation and object classification through to stereo camera pipelines and real‑time deep neural inference. You will work closely with robotics, embedded, and systems engineers to bring cutting‑edge vision intelligence into production agricultural environments.

• Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction.
• Train and optimise deep neural network models using frameworks such as PyTorch and Tensor Flow.
• Manage and curate training datasets, including developing data augmentation and annotation strategies.
• Deploy machine learning models to embedded and edge computing platforms for real‑time performance.
• Collaborate with cross‑functional teams to integrate perception modules into broader system architectures.
• Maintain thorough documentation of model architectures, experiment results, and deployment procedures.

• Proven experience in machine learning or computer vision engineering, with a strong understanding of CNN architectures such as YOLO.
• Proficiency in C, C++, Python and familiarity with Linux‑based development environments.
• Knowledge of stereo vision pipelines, depth estimation, and geometric computer vision techniques.
• Experience in optimising and deploying models to constrained hardware environments.
• A PhD or degree in Computer Science, Electrical Engineering, Mechatronics, or equivalent industry experience.

This role is based onsite in Newport Shropshire, this position is commutable from Telford, Shrewsbury, Wolverhampton, Cannock and Bridgnorth.