Machine Learning Engineer (hybrid or remote) in London

We are seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning and computer graphics, collaborating closely with rendering and engine teams to integrate cutting-edge AI into production-grade pipelines.

You will tackle challenging problems such as low-latency inference, controllable generation, and deploying generative models within real-time rendering systems.

• D. in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s degree with 2+ years of relevant industry experience; Bachelor’s degree with 4+ years of relevant industry experience.
• Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers).
• Hands-on experience with modern ML frameworks (e.g., Advanced programming skills in Python).
• Solid understanding of model training, evaluation, and scaling.
• Experience with 3D vision, neural rendering, or photorealistic rendering pipelines.
• Familiarity with rendering engines (e.g., Unreal Engine, Unity) or custom 3D engines.
• Experience with multimodal and foundation models (e.g., text-to-3D, video generation).
• GPU programming experience (CUDA, Triton, or similar).
• Experience integrating ML models into production pipelines (e.g., Contributions to open-source projects or collaboration with research labs).

Develop and optimize state-of-the-art generative AI systems (diffusion, transformer-based models) for real-time photorealistic rendering and 3D applications. Design pipelines for controllable, high-fidelity, low-latency generation within rendering systems. Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines. Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation. Advance techniques in neural rendering, scene generation, and AI-driven photorealism. Improve model efficiency, scalability, and deployment performance.

The opportunity to work at the intersection of generative AI, 3D vision, and real-time photorealistic rendering. If you are passionate about generative AI, real-time photorealistic rendering, and 3D systems, and want to help build the next generation of AI-driven graphics pipelines, we’d love to hear from you.