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We are seeking an experienced Application Engineering Manager to lead a high‑performing team of Technicians and Data Analysts responsible for optimising the performance of our cutting edge machines, in the field and in our test centre. Recycleye is able to sort a limitless number of waste stream. For each new sort we need to develop a strong AI model by scanning plenty of items in our test centre or at customer sites (e.g. bricks, circuit boards, PET bottles, etc), these scans are managed in a waste taxonomy (contains hundreds of thousands of labelled images), we then deploy these on our machines and adjust aggressivity of detection, belt speeds, ejection parameters, etc. This pipeline is managed by the Application Engineering Team that is currently made up of 3 data analysis (managing the data) and 3 test centre engineers currently operating the test centre and supporting commissioning of newly installed units in the field. The whole team will be reporting to the Application Engineering Manager. This role combines technical leadership, operational excellence, and strong people management. The ideal candidate brings experience in industrial machinery, a deep understanding of optimizing processes, a hands-on mindset, and cross‑functional team collaboration. This right culture fit for this role will see that this is not a desk job—we need someone who thrives on being in the mix with their team, constantly problem-solving, and refining technical processes in a dynamic, real-world environment. You and your team will work closely with the Product and Performance teams, calibrating vision systems, optimising sorting recipes, and managing waste sample logistics, all while developing innovative methodologies to enhance material recognition and classification.
Job Responsibility:
Lead a high‑performing team of Technicians and Data Analysts responsible for optimising the performance of our cutting edge machines, in the field and in our test centre
Manage the pipeline of developing AI models for new waste sorts
Work closely with the Product and Performance teams, calibrating vision systems, optimising sorting recipes, and managing waste sample logistics
Develop innovative methodologies to enhance material recognition and classification
Requirements:
Bachelor’s or Master’s degree in Engineering, Computer Science, Industrial Systems, or a technical field
Proven experience managing engineering or plant operations teams (6+ direct reports preferred)
Hands on mindset, happy to spend plenty on site, not bothered by working with waste
Highly curious, inquisitive mindset, desire to understand the why behind the data
Strong background in industrial machinery, or complex technical operations
Demonstrated experience in systems design, process optimisation, and operational workflow development
Excellent problem‑solving abilities, with a track record of managing technical challenges and project risks
Exceptional communication and collaboration skills, with experience working cross‑functionally and with client‑facing teams
Ability to thrive in a fast‑paced, evolving environment
What we offer:
An excellent salary that’s both equitable and reviewed regularly
Unlimited holiday
A welcoming and inclusive team environment with monthly company-wide socials
Plenty of opportunities for training and personal development
Healthcare coverage – Vitality is available from your very first day