Machine Learning Engineer - Generative AI in City of 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.

Minimum Qualifications

• Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or 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., PyTorch, JAX, TensorFlow).
• Advanced programming skills in Python.
• Solid understanding of model training, evaluation, and scaling.
• Strong problem-solving, analytical, and communication skills.
• Ability to work effectively in multidisciplinary, fast-paced, research-driven teams.

Preferred Qualifications

• 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).
• Knowledge of NeRFs, Gaussian splatting, or neural scene representations.
• Experience optimizing models for real-time inference (TensorRT, ONNX, quantization, distillation).
• GPU programming experience (CUDA, Triton, or similar).
• Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV).
• Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems).
• Contributions to open-source projects or collaboration with research labs.

Key Responsibilities

• 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.
• Stay up to date with the latest research and rapidly experiment with emerging approaches.
• Work cross-functionally to align technical solutions with product and business goals.

What We Offer

• The opportunity to work at the intersection of generative AI, 3D vision, and real-time photorealistic rendering.
• A fast-moving, research-driven environment with real product impact.
• A culture that values technical excellence, ownership, and creativity.
• Very attractive salary.

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.