3D Data Engineer

A cutting-edge AI and autonomous vehicle business is looking for a contract 3D Data/Computer Vision Engineer to build data transformation tooling supporting large-scale annotation and labelling workflows.
This is a hands-on engineering role focused on Python, 3D computer vision, sensor geometry and multimodal data. The successful candidate will work with images, video, LiDAR and calibration data, transforming datasets between internal systems and external annotation providers.
Key Responsibilities

• Build Python scripts and tooling to prepare multimodal datasets for external annotation providers
• Transform internal data into provider-specific formats and convert completed annotations back into internal systems
• Work with images, video, LiDAR, calibration data and 3D sensor datasets
• Project LiDAR and other 3D data into camera/image space using calibration and sensor geometry
• Work with coordinate frames, transformations, projection geometry and rotation matrices
• Handle geometric annotation structures including polygons, lines, curves and other spatial formats
• Build visualisation tooling to support annotation workflows and quality checking
• Transcode image and video data into required external formats
• Process large datasets in cloud environments using parallel and batch-processing techniques
• Develop reliable tooling to automate previously manual annotation and data-transformation workflows
• Support integrations across multiple annotation providers with different formats and technical requirements

Essential Experience

• Strong Python engineering experience
• Commercial experience within 3D computer vision, robotics, autonomous vehicles or multimodal sensor data
• Strong understanding of camera calibration, coordinate transformations, projection geometry and/or rotation matrices
• Experience working with LiDAR, camera, image, video or other sensor data
• Ability to understand relationships between 3D sensor data and image space
• Experience transforming complex datasets between different formats
• Experience processing large-scale datasets in cloud environments
• Knowledge of parallel or batch data-processing techniques
• Experience with geometric data including polygons, lines, curves or similar structures
• Comfortable working with unfamiliar data formats and solving complex data-transformation problems

Desirable experience with any of the following would be beneficial:

• Autonomous vehicles, robotics, perception, mapping, calibration or sensor fusion
• Annotation and labelling pipelines
• Scale AI, Cognic, Encord or similar annotation platforms
• LiDAR, radar and multimodal sensor datasets
• 3D reconstruction, structure from motion or other geometry-heavy computer vision applications
• NumPy, SciPy, OpenCV, Pillow or scikit-image
• FFmpeg and video-transcoding workflows
• PyArrow, Ray or Spark
• Azure, AWS or other cloud environments
• Building internal tooling to automate large-scale image, video or sensor-data workflows
• Master's or PhD-level background in Computer Vision, Robotics or a related discipline

This role would suit a strong Python engineer with genuine 3D/Computer Vision or Robotics experience, rather than a generalist data engineer. The focus is on understanding complex sensor data and building practical, production-quality tooling around it.