Machine Learning Applied Researcher

Machine Learning Applied Researcher – Diffusion Models & Materials Location: London Lab (5 days a week with some hybrid flexibility) Salary: £65,000–£90,000Experience: Recent PhD graduate or 1–2 years industry experienceA well-funded London-based startup operating at the intersection of machine learning, computer vision, and 3D rendering is hiring an Applied Machine Learning Researcher. The team is building next-generation tools that use image-based methods to capture and reproduce the physical properties of real-world materials — with applications spanning VFX, gaming, and digital content production.This role focuses on using image generation and diffusion models to predict the physical properties of real-world materials – helping to redefine how digital assets are created and understood.What you\’ll be working on Developing custom diffusion models trained on a proprietary dataset Fine-tuning and adapting foundation models (e.g. CLIP, SAM, Stable Diffusion) Building task-specific models for segmentation, classification, and prediction Designing modular architectures that combine pre-trained and custom components Collaborating with data capture and engineering teams to shape end-to-end pipelines Staying current with advances in diffusion models, vision transformers, and multimodal learningWhat we’re looking for A recent PhD (or equivalent experience) in Machine Learning, Computer Vision, or a related field Experience across 3D graphics, rendering, or materials/textures is required Experience implementing and training diffusion or generative image models Strong Python skills and familiarity with frameworks like PyTorch, JAX, or TensorFlow Understanding of transfer learning, computer vision, and image processing techniques Ability to translate complex research into scalable, production-ready solutionsWhy join this team Work with a unique, high-quality dataset trusted by top-tier content creators Tackle high-impact technical challenges in an area with strong commercial demand Shape next-generation 3D content tools from the ground up Join a collaborative, research-driven culture with strong ties to creative industriesInterested?Apply below!