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Computer Vision Engineer; Robotics

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Few&Far
Full Time position
Listed on 2026-02-01
Job specializations:
  • Engineering
    Robotics, Computer Science
Salary/Wage Range or Industry Benchmark: 180000 GBP Yearly GBP 180000.00 YEAR
Job Description & How to Apply Below
Position: Computer Vision Engineer (Robotics)
Location: Greater London

Senior Robotics Computer Vision Engineer

We’re working with an early-stage robotics startup building the AI intelligence layer for industrial robots, enabling them to adapt to the real world rather than follow hard-coded instructions 🤖👁️

Their focus: using computer vision and learning-based systems to make robotic arms flexible enough to operate in messy, variable manufacturing environments.

Why this role stands out

👁️ Own the computer vision & perception stack for real robotic systems

📐 Work on 3D vision, geometry, calibration, and sensor fusion

🏭 Deploy CV systems into live industrial environments
, not labs

🚀 Join a small, elite founding team with huge technical ownership

💥 Direct impact on hardware, software, and real customer deployments

What you’ll be doing

  • 📷 Designing and implementing computer vision pipelines for robotic perception
  • 👁️ Selecting and validating sensing hardware (RGB, stereo, RGB-D, ToF, structured light, laser profiling)
  • 🧩 Aligning real sensor data with CAD models and robot frames
  • 🧠 Extracting geometry, pose, and scene understanding for downstream planning and control
  • 🔍 Making perception systems robust to noise, lighting variation, reflections, and occlusion

What they’re looking for

  • 👁️ Strong computer vision background with real-world deployment experience
  • 📐 Solid understanding of geometry, transformations, and multi-view vision
  • 🤖 Exposure to robotics or physical systems (you don’t need to build robots from scratch)
  • 💥 Comfortable working in early-stage environments with ambiguity and ownership
  • 💸 Salary up to £180k + equity (exceptional profiles higher)
  • 📍 London-based,
    office-first (5 days/week)
  • ✈️ Occasional travel to US-based industry partners
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