
About Perceptual Robotics
Perceptual Robotics builds autonomous drones and AI that inspect critical assets and predict maintenance needs, and we give teams the tools to do this work themselves. We're based in Bristol and Athens, with people working remotely in other countries. In wind, our drones capture blade imagery in the field and our platform, Dhalion, turns it into high-confidence defect detection and cost-based repair prioritisation. We work with more than 50 wind operators, service providers and OEMs across 20 countries in Europe and Latam, and we're expanding from wind into other energy and critical infrastructure.
Founded in 2016 we maintain a startup mindset with a demanding environment where each member of the team contributes meaningfully. If you want to make a visible impact and enjoy a fast-moving team, we'd like to hear from you.
The Role
This role sits at the centre of how we deliver a great experience to clients using our drone systems. You'll be the first line of technical support for clients running inspections on Dhalion drones, helping them get the most out of the platform and resolving issues as they come up. Alongside this, you'll be one of our operational pilots: flying inspections, training other pilots, and supporting R&D as we test new hardware and software.
This suits someone who's happiest close to both the product and the people using it — comfortable troubleshooting a client's query one day and flying a blade inspection the next.
Roles and Responsibilities
Client support
Drone operations
Requirements
Minimum Requirements
Desired Requirements
Benefits

Intelligent Automation for Wind Turbine Management
At Perceptual Robotics, we leverage AI and automation to transform wind turbine operations. Our autonomous systems, Dot and Eve, deliver high-quality inspections in minutes, reducing costs, downtime, and safety risks while providing unparalleled data accuracy. Eve also empowers site managers with quick on-site assessments.
After collecting the data, our AI detects and classifies damages, ensuring a precise understanding of their type and severity. To help manage repairs efficiently, our Repair Now Ratio (RNR) and Repair Module use advanced AI to analyse damage urgency and impact, providing automated, data-driven insights. This enables O&M teams to prioritise the most critical issues and plan maintenance more effectively.
By combining AI-powered analytics with seamless O&M integration, we help operators make smarter decisions, extend asset lifespan, and maximise turbine performance—efficiently, reliably, and intelligently.