Contract 3D Data / Computer Vision Engineer

6 Month Contract | Remote (European-based) | 1 Day Per Month in London

If you're passionate about computer vision, robotics, or autonomous systems and enjoy solving complex 3D data challenges, this is an opportunity to work on technology that's helping shape the future of autonomous driving.

We're looking for an experienced 3D Data / Computer Vision Engineer to join one of the world's leading autonomous vehicle companies. Rather than building new machine learning models, you'll be responsible for creating the data transformation tooling that enables high-quality perception data to flow between internal systems and external annotation providers.

You'll work with large-scale multimodal datasets consisting of cameras, LiDAR, calibration information, and geometric annotations, building reliable Python tooling that transforms, validates, and visualises data at scale.

This is an ideal opportunity for someone from an autonomous vehicles, robotics, drone, perception, or computer vision background who enjoys building practical engineering solutions around complex sensor data.

What You'll Be Doing

• Build Python tooling that prepares multimodal sensor data for external annotation platforms.
• Transform internal data formats into provider-specific schemas and convert completed annotations back into internal systems.
• Work with images, video, LiDAR, calibration data, and geometric annotation structures including polygons, lines, and curves.
• Project 3D sensor data into camera image space using calibration and coordinate transformations.
• Build visualisation tools that help validate annotation quality and investigate data issues.
• Process large image and video datasets using cloud-based batch processing rather than local workflows.
• Design scalable processing pipelines capable of handling tens of terabytes of perception data.
• Automate manual annotation workflows and improve reliability across multiple external labelling providers.
• Collaborate closely with perception, ingest, and data engineering teams to improve tooling across the autonomous driving platform.