Machine Learning, Computer Vision & Data Science Engineer

Summary: The Machine Learning, Computer Vision & Data Science Engineer role at Zori Tex involves developing and optimizing deep learning models for AI-powered textile waste sorting. The position requires a strong background in machine learning and computer vision, with a focus on sustainability and circular economy. Candidates will work in a hybrid environment and have the potential for growth into leadership roles while contributing to innovative climate tech solutions. This role is ideal for those passionate about AI and solving complex problems in an early-stage start-up setting.

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:

• Strong background in machine learning (CNNs, deep learning, computer vision).
• Experience with hyperspectral imaging, near-infrared imaging, or volumetric imaging and processing.
• 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, 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 is desirable.
• Experience with JavaScript and MySQL is a plus.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other