Computer Vision Engineer
Using AI and cameras to spot problems in energy infrastructure.
Engineering, Design and Construction
What this person does in the real world
- Develop AI models to detect cracks, erosion or wear in turbine blades and structures
- Analyse drone and Remotely Operated Vehicle (ROV) footage
- Turn visual data into clear reports for maintenance teams
Why this job matters
Early detection of faults helps prevent costly damage and downtime. Computer Vision Engineers help teams fix the right problems at the right time, improving safety and efficiency across energy sites.
Skills and tools you’ll use
- Coding and AI/ML techniques
- Image processing and video analysis
- Data annotation and model training
- Collaboration with inspection and engineering teams
- Clear technical reporting
Where you’ll work
You’ll typically work in an office or tech setting, sometimes supporting offshore or site inspection teams.
You’ll love this if you...
- Enjoy coding and working with images
- Like turning video footage into useful answers
- Are curious about how AI works in the real world
Routes in
- Apprenticeship: Software Developer / Embedded Systems
- College/University: Computer Science, Robotics, AI/ML, Electrical Eng.
- First roles: Computer Vision Intern, Junior ML Engineer, Robotics Technician
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Let’s shape the future together
Backed by industry, My Energy Future is brought to you by OPITO and partners to build a safe, skilled workforce.