4 of 4 Remote 3D Rendering Jobs in London

relational databases, web security best practices, and authentication. You have experience architecting distributed systems and deploying to cloud services using tools like Kubernetes and AWS. Bonus Points Experience with 3D rendering (e.g., WebGL). Deep knowledge of modern UI frameworks (e.g., React, Tailwind). Familiarity with molecular or protein visualisation tools (e.g., Mol*). An interest in model More ❯

relational databases, web security best practices, and authentication. You have experience architecting distributed systems and deploying to cloud services using tools like Kubernetes and AWS. Bonus Points Experience with 3D rendering (e.g., WebGL). Deep knowledge of modern UI frameworks (e.g., React, Tailwind). Familiarity with molecular or protein visualisation tools (e.g., Mol*). An interest in model More ❯

a co-working space local to you ABOUT CATCHES is a SaaS start-up backed by some of the most influential names in luxury fashion globally. We blend advanced 3D rendering, Artificial Intelligence (AI) and Visual Effects (VFX) techniques to deliver unparalleled shopping experiences for luxury fashion and exclusive events. Our platform depends on rock-solid, scalable backend … deployments. Strong grasp of event-driven designs and messaging (Pub/Sub, RabbitMQ, Kafka, etc.). Contributions to open-source DevOps or cloud-native projects. Knowledge of WebGL/3D pipelines and asset-build tooling. WHAT WORKING WITH CATCHES LOOKS LIKE Fully remote-first, async-friendly, with optional coworking allowances. High-trust, low-bureaucracy environment that values experimentation and More ❯

D team to push the boundaries of AI creativity. The Role: As a Research Engineer - Data at Leonardo , you will architect and manage petascale data pipelines, combining text, images, 3D models, and other data modalities to drive world-class AI models. You'll work hand-in-hand with our Researchers to create and curate large, multi-modal datasets, including … processing, and experimentation will shape the backbone of our research work. Responsibilities: Data Acquisition & Curation Lead the ingestion, unification, and organization of large, unstructured data sources (e.g., text, images, 3D geometry, code snippets) into scalable, high-quality datasets suitable for machine learning research and production. High-Performance Data Pipelines Develop and optimize distributed systems for data processing, including filtering … insights and breakthroughs with the wider AI community through publications or technical blogs. Skills we like you to have: Multi-Modal Data Expertise Hands-on experience with images, videos, 3D geometry (mesh/solid modeling), and/or text data. Well-rounded expertise in Python and PyTorch. Synthetic Data & Inference Passion for synthetic data generation making use of inference More ❯