Last updated: 2025-05-23

10 Autonomous Vehicle Engineering jobs in London.

Hiring now: Vehicle Safety Operator @ Wayve, Eng Team Member @ Leading Pr, Computer Vision Engr Llm @ Unnamed Sa.Explore more at at jobswithgpt.com

🔥 Skills

Computer Vision (7) Robotics (6) Autonomy (6) Deep Learning (4) NLP (3) MVP stage (3) Mentorship (3) Car damage assessments (3) Speech recognition (3) Drone inspections (3)

📍 Locations

London (10)

Wayve

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understa…

Vehicle Safety Operator

London

  • Skills: driving, safety, artificial intelligence, operations, feedback, navigation, communication skills, problem-solving, teamwork, Microsoft Office
  • Experience: At least 8 years' driving experience - mainly in the UK.
  • Type: Full-time

Leading provider of innovative secure services and solutions

A leading provider of innovative secure services and solutions to both public and private sectors across MENA, with a customer base of over 60,000 private and …

Engineering Team Member

London

  • Skills: Computer Vision, Robotics, NLP, MVP stage, Autonomy, Mentorship, Car damage assessments, Speech recognition, Drone inspections, Indoor route planning
  • Type: Full-time

Unnamed Saudi-based powerhouse

A Saudi based powerhouse that leads the innovative service sector and has expanded operations to an office in London, focusing on transforming Saudi Arabia int…

Computer Vision Engineer / LLM Researcher

London

  • Skills: Computer Vision, Deep Learning, Machine Learning, Neural Networks, Autonomy, Robotics, Innovation, E-commerce, Security, Transport
  • Type: Full-time

Wayve

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understa…

Engineering Manager in Driving Intelligence

London

  • Skills: Engineering Manager, Driving Intelligence, ML development, AI technology, autonomous vehicles, team management, stakeholder management, machine learning, Deep Learning, Computer Vision
  • Experience: Prior experience as a manager of ML development teams.
  • Type: Full-time