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.
Key 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
What You’ll Bring
Required:
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
Desirable:
Multi‑GPU model experience
Publication track record
Customer‑facing experience
Interest or knowledge in quantum computing
Personal Fit:
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