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AI​/ML Perception Software Engineer – Autonomous Vehicles & Robotic Technology

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Altium Associates Ltd.
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Robotics, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65000 - 95000 GBP Yearly GBP 65000.00 95000.00 YEAR
Job Description & How to Apply Below
AI/ML Perception Software Engineer – Autonomous Vehicles & Robotic Technology Hybrid - Warwickshire Excellent Salary & Benefits

Our client is a global leader in cutting-edge robotics and autonomous systems for defence and off-highway applications. Their rich heritage of product engineering and the delivery of autonomous solutions fuels their commitment to harnessing the latest technologies and products to revolutionise the use of uncrewed technology, and deliver the potential this technology has to offer.

As part of the company’s growth, transitioning from R&D to industrialisation and scale-up, there is a need to recruit highly experienced Perception Software Engineers at all levels to assist with building and delivering the AI & ML capability for uncrewed ground vehicles.

To be considered for this exciting opportunity, you will possess the following:

  • Experience in robotics, autonomous systems, machine learning, or a related field.
  • Good understanding of perception systems and their interaction with localisation, mapping, and planning modules.
  • Experience in at least one of the following areas:
    Object Detection, Semantic Segmentation, Multi-Object Tracking.
  • Proficiency in C++ and Python.
  • Experience with machine learning frameworks such as PyTorch.
  • Familiarity with Linux development environments and software engineering tools such as Git and Docker.
  • Familiarity with camera and LiDAR sensors.
  • A good science or engineering degree, ideally with a postgraduate degree in a related subject or management discipline.

Candidates with knowledge in the following areas will be given preference:

  • Experience deploying machine learning models on embedded platforms.
  • Familiarity with NVIDIA Jetson devices.
  • Knowledge of TensorRT and CUDA programming.
  • Familiarity with middleware technologies and communication frameworks used in robotics and distributed systems (e.g., DDS, ROS/ROS2, or custom middleware solutions).
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