Edge AI Perception Engineer for Autonomous Robotics in Edinburgh

Edge AI Perception Engineer for Autonomous Robotics in Edinburgh

Edinburgh Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and own computer vision systems for autonomous robots using cutting-edge AI models.
  • Company: Join a forward-thinking company at the forefront of robotics technology.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for skill development.
  • Other info: Be part of a dynamic team with great potential for career advancement.
  • Why this job: Make a real impact in the exciting field of autonomous robotics and AI.
  • Qualifications: Experience in computer vision and collaboration with tech teams is essential.

The predicted salary is between 70000 - 90000 Β£ per year.

Our client is hiring a Perception Engineer to build and own computer vision systems powering autonomous robots. You will transform state-of-the-art AI models into production systems for real-time detection, tracking, and scene understanding across multi-camera setups.

You will collaborate with AI, Robotics, and Software Engineering teams to deliver reliable perception pipelines on edge hardware, including NVIDIA Jetson, RTSP, and WebRTC-based processing.

Edge AI Perception Engineer for Autonomous Robotics in Edinburgh employer: C&D Talent Advisory

C&D Talent Advisory is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As a Customer-Facing AI Engineer, you will not only enjoy competitive compensation and equity but also have the unique opportunity to shape the company's presence in the UK while working in a high-autonomy environment that fosters professional growth and development.

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Contact Details:

C&D Talent Advisory Recruitment Team

We think you need these skills to ace Edge AI Perception Engineer for Autonomous Robotics in Edinburgh

Computer Vision
AI Model Deployment
Real-Time Detection
Tracking Algorithms
Scene Understanding
Multi-Camera Systems
Collaboration with AI Teams