Machine Learning Research Engineer

If you want to push the boundaries of machine learning on cutting edge computing hardware, this role offers a rare chance to do exactly that. You'll join a small, high impact team working at the forefront of next generation architectures, developing ML models and techniques that go beyond what's possible on conventional systems.

We are working exclusively with a pioneering deep tech organisation whose technology is used by leading global research institutions and industry innovators. Their multidisciplinary team is exploring new frontiers in generative modelling, hybrid neural network approaches, and advanced hardware accelerated ML.

As a Machine Learning Research Engineer, you'll design and benchmark new algorithms, experiment with novel architectures, and contribute directly to the company's software stack, research output, and technical roadmap. You'll collaborate with internal experts, customers, and research partners to turn complex real world problems into high performance ML solutions.

• 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

• 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
• Master's or PhD in a relevant field

• Multi GPU model experience
• Publication track record
• Customer facing experience
• Interest or knowledge in quantum computing

• Startup mentality: proactive, hands on, adaptable
• Strong communicator
• Curious, growth oriented, excited by emerging tech

We're managing this role exclusively. If this sounds like your next challenge, apply now, and we'll be in touch.