Machine Learning Research Engineer

Location: Paddington

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