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Hire robotics autonomy engineers in the UK

What robotics autonomy engineers are paid, what to name in the advert, and who you are up against — from the adverts on Robotics Jobs, not a survey. Looking for the roles themselves? See Robotics Autonomy Engineer jobs.

What you will pay

Not enough priced adverts yet to publish a range

We only print a figure once enough adverts on this board have stated one. Until then: state a salary, and pitch it at what the role is worth to you rather than what you hope to get away with.

  • Remote or anchored

    A fully remote role draws the whole country and can pay a little under the London figure; an anchored one competes locally and cannot.

  • Greenfield or inherited

    Building from nothing is worth more to the right person than running what exists, and they will ask which it is.

  • Someone senior to learn from

    A strong lead in the team is worth thousands on the offer; without one, expect to pay for that experience directly.

Who you are competing with

Hiring robotics autonomy engineers on Robotics Jobs right now

Three live adverts for the role, as candidates see them. How rivals pitch it is worth a look before you write yours.

Humanoid · 11–50 people · Series A

Senior Autonomy Engineer - Spatial Intelligence

  • London
  • On-site
  • Senior
  • Permanent

Lead the design of state estimation, long-term mapping and localisation loops, integrating modern machine learning and foundation geometry models into the core navigation stack. Train and deploy large-scale multimodal networks for ultra-low latency performance on edge hardware, building 3D spatial representations that give robots persistent spatial memory. Works cross-functionally between research and reliable robot integration.

PyTorch · VLMs

Last month

Humanoid · 11–50 people · Series A

Senior Autonomy Engineer - SLAM & Navigation

  • London
  • On-site
  • Senior
  • Permanent

Lead the design of robust SLAM pipelines, long-term mapping and localisation loops, integrating foundation geometry models and modern ML into the core navigation stack. Build auto-labeling data pipelines and deploy low-latency spatial AI on physical robot hardware, bridging classical geometry with deep learning.

LiDAR

5 months ago

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