Founding Machine Learning Research Engineer

Generative; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Generative is seeking a Founding Engineer – ML Systems in London to own the engineering backbone of its Scientific ML platform. This hands-on role requires turning research ideas into scalable training and evaluation systems and shaping the ML infra from the ground up.

You’ll collaborate with researchers and engineers on ML systems, deep learning pipelines, and data workflows, with a focus on GPU performance and scalable solutions for frontier AI projects.

Qualifications

• Experience building, training and optimizing ML models at scale.
• Genuine proximity to ML research with strong engineering depth.
• Experience with CUDA, Triton, torch.compile, custom kernels, distributed training or scientific computing.

Responsibilities

• Own the engineering backbone of the Scientific ML platform.
• Turn research ideas and prototypes into robust training and evaluation systems.
• Shape the ML infrastructure from the ground up with researchers and engineers.

Skills

ML systems

Deep learning

GPU computing

Tools

CUDA

Triton

torch.compile

custom kernels

distributed training

scientific computing

Job description

Generative is thrilled to be partnering with a very early-stage frontier AI research company building foundation models for some of the most challenging problems in extreme physics.

Their work sits at the intersection of machine learning, scientific computing and real-world engineering, with applications across semiconductors, aerospace, defence, fusion and advanced energy.

Traditional simulation approaches can be too slow, expensive or brittle for the complexity of these environments. The team is building ML systems that learn from high-fidelity simulation and experimental data to deliver fast, reliable predictions across complex physical regimes — enabling engineers and scientists to explore far more possibilities than traditional workflows allow.

They’re now looking for a Founding Engineer – ML Systems to own the engineering backbone of their Scientific ML platform.

This is a genuinely hands‑on founding role. You’ll work directly alongside researchers and engineers, turning research ideas and prototypes into robust, scalable training and evaluation systems, while shaping the underlying ML infrastructure from the ground up.

You’ll work across:

• GPU performance, memory & throughput optimisation
• Data pipelines & research workflows

They’re looking for someone with strong experience across ML systems and deep learning, who has genuinely built, trained and optimised models at scale.

You could come from a Research Engineering, ML Systems, Deep Learning, Scientific ML, GPU Computing or large-scale AI background.

Experience with CUDA, Triton, torch.compile, custom kernels, distributed training or scientific computing would be particularly interesting, but the key requirement is strong engineering depth combined with genuine proximity to ML research.

This is an opportunity to join a small, exceptionally technical founding team, have significant ownership over the ML stack and help define the engineering culture, architecture and infrastructure from the beginning.

London | Full-time | Founding ML Research Engineer

If you're a senior ML engineer or research engineer who enjoys operating at the intersection of frontier AI, systems engineering and scientific problems, I’d be very interested in speaking.