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

Carbon13; London; On-site; GBP 40,000 - 65,000; Full time

Job summary

A leading climate tech start-up in London seeks engineers passionate about AI and sustainability. You'll develop and optimize imaging hardware solutions that integrate advanced machine learning for textile waste sorting. This role offers significant growth potential in an innovative environment committed to tackling climate challenges.

Benefits

Work on a high impact AI problem

Significant growth potential

Equity options potential

Qualifications

• 2-3 years industry experience in imaging hardware and embedded systems.
• Proficient in Python and relevant programming languages (C/C++ desirable).
• Strong collaboration skills.

Responsibilities

• Develop and optimize imaging hardware systems.
• Integrate machine learning models with imaging hardware.
• Conduct real-world testing and refine integrations.

Skills

Mechanical engineering

Electrical engineering

Embedded systems

Problem solving

Collaboration

Python

Education

PhD in relevant field

Job description

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
[e-mail] (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