Machine Learning Research Scientist​/Research Engineer

We are partnering exclusively with a pioneering organisation developing next‑generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer
. This is a rare opportunity to join a team working at the intersection of machine learning, computational science
, and emerging hybrid computing architectures
. The work focuses on algorithmic innovation
, generative modelling
, and benchmarking ML systems on cutting‑edge hardware platforms.

You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models
, numerical methods
, and hybrid quantum‑classical approaches
.

• Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems).
• Strong background in machine learning research
  , including algorithm development and benchmarking.
• Hands‑on experience with generative models (diffusion, flows, GANs).
• Proficiency in Py Torch , Python, and modern ML tooling.
• Experience in computational science
  , numerical methods, or scientific computing.
• MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics
  , or a related field, or equivalent research experience.

This role is ideal for candidates who thrive in research‑driven environments
, enjoy developing new ML methods
, and want to work on problems that blend machine learning, physics, and advanced computation
. Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production‑focused ML experience.

If you’re excited by the idea of building ML algorithms for non‑traditional compute architectures
, we’d welcome a confidential conversation.