3 of 3 Remote/Hybrid Computer Vision Jobs in Scotland

Senior AI Engineer (Autonomy & Machine Learning)

Location
Glasgow, Scotland, United Kingdom
stakeholder requirements into scalable AI architectures, technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking …/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time‐series analytics. Experience working with autonomy frameworks such as ROS2 and integrating AI into autonomous or intelligent systems. ...

Senior, Forward Deployed Engineer (Physical AI & Self-Driving Labs)

Location
Irvine, Scotland, United Kingdom
Execution Systems, etc. Experience extending lab automation into quality labs and manufacturing lines, working with automation, business and tech teams. Strong experience in computer vision systems, embedded systems and edge AI. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor’s degree … Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Locations ...

Head of Product

Location
City of Edinburgh, Scotland, United Kingdom
growth. Foster a collaborative, pragmatic, and accountable Product culture focused on customer and business outcomes Product Strategy and Management Own and communicate the product vision, strategy, and roadmap for iHawk, aligned with Cyberhawk’s business strategy and target markets. Partner with Solutions Management to understand segment strategies, market needs … business. Experience in utilities, energy, infrastructure, asset management, inspection, or other industrial markets. Familiarity with geospatial technology, GIS, visual data, digital twins, AI/computer vision, or related technologies. Additional Requirements Eligibility to live and work in the UKwith high fluency in English. Willingness and ability to travel ...