Physical Ai Field Delivery Engineer

Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)
Job Openings Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)
About the job Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)
Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)
ABOUT THE OPPORTUNITY
This is a rare engineering role that sits at the intersection of AI, robotics, and industrial operations — and actually ships into the real world. You'll be designing and deploying Physical AI solutions in environments like manufacturing plants, energy infrastructure, logistics hubs, and smart facilities, working directly with customers from discovery through to production. If you've built computer vision or edge AI systems that run on physical hardware in industrial settings — not just in notebooks — and you're comfortable leading technical workshops as much as writing optimised inference code, this is the scope you've been looking for.
The role is remote-first within the EEA, with approximately
50% travel to client sites across Europe
.
PROJECT & CONTEXT
You'll work as a Field Delivery Engineer on Physical AI initiatives — spanning computer vision, robotics, edge computing, and industrial IoT — for customers in sectors such as manufacturing, energy, transportation, logistics, and smart infrastructure. Engagements run from requirements gathering and PoC through to full production deployment and ongoing optimisation. You'll collaborate with solution architects and engineering teams, lead customer-facing workshops, and own the technical delivery of production-grade AI applications leveraging cameras, LiDAR, drones, robotics platforms, and edge computing hardware. Contract runs until
31 March **
, starting ASAP.
WHAT WE'RE LOOKING FOR
Experience
Hands‐on engineering background in
computer vision, robotics, edge AI, or industrial IoT
— with demonstrable production deployments in real-world environments
Fluent English
— written and spoken, at both 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)
Computer Vision
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
Edge AI & Embedded ML
Deployment and optimisation of AI workloads on
NVIDIA Jetson
platforms
Experience with
TensorRT
for inference optimisation and
ONNX
for model portability
Robotics & Autonomous Systems
Development and integration using
ROS / ROS2
for real‐world industrial applications
SLAM
for autonomous navigation and localisation
Sensor‐driven AI for autonomous perception and decision‐making
Integration of
cameras, LiDAR, telemetry, and PLCs
in operational environments
Sensor fusion and real‐time data acquisition for edge‐to‐cloud pipelines
Familiarity with industrial automation protocols:
OPC-UA, MQTT, SCADA
Programming
Strong proficiency in
Python and C++
for AI system development and optimisation
Customer & Delivery Skills
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
NICE TO HAVE
Sector experience in
manufacturing, steel, mining, energy, or industrial automation
Experience with
robotic vision systems, drones, or autonomous inspection platforms
Digital Twins and simulation —
NVIDIA Omniverse, Isaac Sim
MLOps practices and tooling:
Docker, Kubernetes, Azure AI
Background in drone operations or
autonomous monitoring systems
in industrial environments
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