Physical AI Field Delivery Engineer – Computer Vision, Edge AI, ROS2

• Design and deploy Physical AI solutions in manufacturing plants, energy infrastructure, logistics hubs, and smart facilities
• Work directly with customers from discovery through production
• Gather requirements and execute proofs of concept through full production deployment and ongoing optimisation
• Collaborate with solution architects and engineering teams
• Lead customer-facing technical workshops
• Own technical delivery of production-grade AI applications
• Leverage cameras, LiDAR, drones, robotics platforms, and edge computing hardware
• Develop computer vision, robotics, edge computing, and industrial IoT solutions
• Conduct model development and optimisation for inspection, tracking, anomaly detection, and real-time inference
• Integrate sensors and industrial systems into edge-to-cloud pipelines

• Hands-on engineering background in computer vision, robotics, edge AI, or industrial IoT
• Demonstrable production deployments in real-world environments
• Fluent English, written and spoken, at customer-facing and executive presentation level
• Available and willing to travel across Europe approximately 50% of the time
• Based within the European Economic Area (EEA)
• Production-grade experience with OpenCV, object detection frameworks, and video analytics pipelines
• Model development and optimisation for inspection, tracking, anomaly detection, and real-time inference
• Hands-on model development with PyTorch and/or TensorFlow for vision and perception tasks
• Understanding of model lifecycle management and operational performance monitoring
• Deployment and optimisation of AI workloads on NVIDIA Jetson platforms
• Experience with TensorRT and ONNX
• Edge-to-cloud architecture design
• Development and integration using ROS / ROS2
• Experience with SLAM
• Sensor-driven AI for autonomous perception and decision-making
• Integration of cameras, LiDAR, telemetry, and PLCs
• Sensor fusion and real-time data acquisition
• Familiarity with OPC-UA, MQTT, and SCADA
• Strong proficiency in Python and C++
• Ability to lead requirements gathering, technical discovery workshops, PoC execution, and executive presentations
• Comfortable translating business challenges into AI solution designs and articulating business value to non-technical stakeholders

• Remote-first work arrangement within the EEA
• Approximately 50% travel to client sites across Europe
• Contract through 31 March 2027