chance to work across the full product lifecycle and contribute to meaningful, ethical innovation. What You’ll Be Doing Designing, developing, and deploying high-performing machine learning models for computervision tasks (image classification, object detection, segmentation, video analysis). Conducting data analysis, feature engineering, and model optimisation to ensure top-tier performance. Collaborating with cross-functional teams … business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computervision research and applying new techniques to real-world challenges. Contributing to the development of ML infrastructure and best practices. Mentoring junior team members and fostering a culture … of innovation and continuous learning. What We’re Looking For Master’s or PhD in Computer Science, Engineering, or a related field with a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A More ❯
Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies … hazards, and safety risks. This is the first fully remote role KO2 has seen this year - a rare and exciting opportunity to join a company doing cutting-edge embedded vision and AI work, from anywhere in the UK. The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision … ll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
KO2 Embedded Recruitment Solutions LTD
Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies … hazards, and safety risks. This is the first fully remote role KO2 has seen this year - a rare and exciting opportunity to join a company doing cutting-edge embedded vision and AI work, from anywhere in the UK. The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision … ll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure More ❯
strategic recommendations to clients and internal stakeholders in a clear, actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computervision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and More ❯
Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning, large language model, and computervision, that have been successfully delivered to customers - Experience directly managing scientists or machine learning engineers (5+ years) - Experience directly managing science managers (2+ years) Our inclusive culture More ❯