Machine Learning & Computer Vision EngineerMachine Learning & Computer Vision Engineer
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Job Title: Machine Learning, Computer Vision & Data Science Engineer
Location:Hybrid (London) - Flexible arrangements may be considered for the right candidate
Salary:Salary aligned with experience and early-stage norms, with potential for equity options based on impact and performance
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 or researchers 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 start-up environment, where resilience and problem-solving are key and where challenges are seen as opportunities to learn. The role has significant potential for growth, with the possibility of evolving into a leadership position for the right candidate.
Key Responsibilities:
- Develop and optimise deep learning models.
- Apply machine learning to complex hyperspectral imaging and RGB datasets.
- Enhance dataset quality, including data augmentation and synthetic data approaches.
- Apply machine learning and statistical techniques for spectral feature extraction.
- Keep abreast of state of the art techniques and the latest research literature.
- Work on inference efficiency and robustness for real-time processing.
- Analyse and visualise data to assess model performance and improve prediction accuracy.
- Dataset extension including acquisition, training and re-training to optimise configuration.
- Collaborate with the technical 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.
- Support development of technical interns and/or the growing technical team.
Key Skills & Experience
- Strong background in machine learning (CNNs, deep learning, computer vision).
- Experience with hyperspectral imaging, near-infrared imaging, or volumetric imaging and processing.
- At least 3-4 years of relevant, practical hands-on industry experience gained through professional employment or advanced research during postgraduate studies (PhD level).
- Proficiency in Python, PyTorch and AWS.
- Strong data science skills, including feature engineering and statistical analysis.
- Experience deploying AI models on edge devices or embedded systems is a plus.
- Interest in circular economy, recycling, and sustainability.
- Experience analysing and presenting results, using for example JupyterLab Notebooks.
- Problem-solving mindset with resilience and adaptability to thrive in a start-up 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.
- Master’s or PhD in a relevant field.
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.
- Equity options available and potential to grow into a leadership role.
- Hands-on mentoring from an external AI expert.
How to Apply
If youre 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 (written in your own words, without the use of AI tools) explaining which job you are applying for, why it interests you and why your skills and experience make you an excellent fit for this position.We welcome applicants from diverse backgrounds.
Due to the high volume of applications expected, response times may be slower, and 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.
Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionEngineering and Information Technology
- IndustriesData Infrastructure and Analytics
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