Data Engineer AI, Hybrid in City of London

Lumirithmic, an Imperial College London spin-out, is redefining synthetic data for the next generation of immersive technologies. By combining advanced 3D computer graphics with AI, we create high-fidelity, large-scale datasets that power cutting-edge perception systems.

Led by experts in computer graphics and machine learning, we’re building the infrastructure behind next-gen XR experiences, enabling robust hand tracking, eye tracking, and scene understanding for advanced XR platforms. Our mission is to bridge the gap between virtual data generation and real-world AI performance at scale.

We are looking for a Synthetic Data Engineer (Blender & XR) to drive the creation and delivery of high-quality synthetic datasets. In this role, you will work with our in-house, Blender-based platform to design, build, and execute scalable data pipelines tailored to partner needs.

• Combine existing modules, develop new pipeline capabilities, and collaborate closely with stakeholders to ensure datasets are accurate, efficient, visually high quality, and aligned with real-world use cases.
• This role sits at the intersection of synthetic data operations, Blender pipeline development, rendering workflows, and software engineering.
• Build, render, and deliver large-scale synthetic datasets (1M+ frames) reliably for partners across XR and AI teams.
• Operate and optimize scalable rendering and visual data generation workflows.
• Ensure delivery quality, consistency, and operational reliability across datasets and pipeline runs.
• Work directly with partners to understand requirements, iterate on feedback, and ensure high-quality outputs.
• Translate partner needs into scalable synthetic data generation workflows and rendering solutions.
• Develop new modular components, fix bugs, and maintain the synthetic data platform for performance and reliability.
• Support operational scalability and continuous improvements across rendering and dataset workflows.

Strong expertise with the Blender Python API (bpy) is required, along with solid software engineering fundamentals and experience writing clean, maintainable, and testable code. Strong Python programming skills are essential.

Experience building or maintaining Blender-based automation, rendering, or pipeline tooling is necessary, as well as a good understanding of human-centric computer graphics, including animation and rendering workflows. Experience with rendering at scale (e.g. render farms) and knowledge of computer vision, particularly real-time systems, is also important.

Familiarity with machine learning frameworks, the Blender C++ codebase, and AI-assisted coding or agent-based workflows is advantageous. Strong visual judgment and attention to detail for high-quality renders are crucial, along with experience in synthetic data generation, VFX, games, XR, simulation, or technical art workflow.