Salary: £40,000 - 70,000 per year Requirements: Strong experience developing and benchmarking ML algorithms Expertise with generative models (flow, diffusion, and/or GANs) Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum, etc.) Excellent Python/PyTorch programming skills Masters or PhD in a relevant field Multi-GPU model experience (desirable) Publication track record (desirable) Customer-facing experience (desirable) Interest or knowledge in quantum computing (desirable) Startup mentality: proactive, hands-on, adaptable Strong communicator Curious, growth-oriented, excited by emerging tech Responsibilities: Develop and benchmark ML algorithms for novel computing hardware Work on generative models (flow, diffusion, GANs) and hybrid quantum-classical architectures Translate customer and partner problems into hardware-ready ML solutions Contribute new algorithms and examples to the user-facing software stack Publish research and support IP protection activities Technologies: Flow Hardware Support Machine Learning Network PyTorch Python More: We are a pioneering deep-tech organization whose technology is utilized by leading global research institutions and industry innovators. Our multidisciplinary team is exploring new frontiers in generative modeling, hybrid neural network approaches, and advanced hardware-accelerated ML. This role offers a rare opportunity to push the boundaries of machine learning on cutting-edge computing hardware, where you will work with a small, high-impact team focused on next-generation architectures. last updated 8 week of 2026