Vision System Hardware Engineer Zori Tex A new day for waste textiles

About Us At Zori Tex, we’re a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early-stage startup environment, where resilience and problem solving are key and where challenges are seen as opportunities to learn. The role has significant potential for growth. Key Responsibilities: ● Develop and optimise imaging hardware system, including illumination, hyperspectral near-infrared and RGB cameras. ● Design and prototype cost-effective and scalable imaging hardware solutions. ● Integrate machine learning models with imaging hardware and embedded processing units. ● Work on automation aspects of the textile sorting system. ● Conduct real world testing and refine hardware/software integration. ● Ensure robust communication between IoT-enabled sorting platforms and data processing systems. ● Dataset extension including acquisition, training and re-training to optimise configuration and machine learning performance. ● Collaborate with the Machine Learning Engineer and wider team to ensure seamless system integration and alignment with customer requirements. ● Collaboration with external partners and experts to validate and optimise performance and robustness. ● Develop, maintain and implement strict health and safety procedures. ● Manage and support development of technical interns and/or growing team. ● Ambition to build a fast scaling product and develop and drive strategy in your area. Key Skills & Experience Essential: ● Strong background in mechanical, electrical or electronic engineering or physics with experience in imaging hardware and embedded systems. ● At least 2-3 years of relevant, practical hands-on industry experience gained through professional employment or advanced research during postgraduate studies (PhD level). ● Proficiency in Python and relevant hardware related programming languages (C/C++ desirable). ● Experience designing and building prototypes for industrial or real-world applications. ● Familiarity with IoT and cloud connected devices is a plus. ● Interest in circular economy, recycling, and sustainability. ● Problem solving mindset with resilience and adaptability to thrive in a fast paced startup environment. ● Commitment to the long term vision and ambition to build a fast scaling product, while developing and driving strategy in your area. ● Strong collaboration skills and the ability to work effectively in a team. ● Excellent written and verbal communication skills in English. Desirable: ● Master’s or PhD in a relevant field. ● Experience with computer vision and machine learning models would be beneficial. ● Experience with JavaScript and MySQL is a plus. Why Join Us? ● Work on a high impact problem in AI and sustainability. ● Contribute to cutting edge research and development in machine vision and AI. ● Opportunity to shape a real world game changing climate tech product from the ground up. ● Significant growth potential. ● Equity options potential. How to Apply If you’re excited about building cutting-edge AI and hardware solutions for a more sustainable future, we’d love to hear from you! Send your CV and a cover letter to recruitment@zoritex.com (written in your own words without the use of AI tools), explaining: ● Why this opportunity at Zori Tex caught your attention ● How your experience aligns with the requirements of the role set out in the job description ● Why you believe you’re the best fit for this position ● Anything else you’d like us to know ● Your current salary and/or expectations – this is just to ensure we’re aligned from the start. We welcome applicants from diverse backgrounds. We regret that we will not be able to provide individual feedback. Please note that fresh graduates with limited industry experience will not be considered for this role. Eligibility to Work Applicants must have the right to work in the UK. Unfortunately, we are unable to offer visa sponsorship for this role Tagged as: computer vision, engineering, hardware, imaging, industrial automation, machine vision, mechatronics, optical, R&D, robotics #J-18808-Ljbffr