Research Software Engineer: Scale Distributed ML Pipelines

Deepstreamtech; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Deepstreamtech is looking for a Research Engineer based in London to design and develop distributed systems for training frontier-scale models. You'll be responsible for writing clean, reliable code in Python and systems languages, while maintaining tools and internal pipelines. The ideal candidate has a Master’s in Computer Science and over 4 years of experience in large-scale systems development. Exposure to machine learning workflows is a plus. Join a collaborative team committed to innovation.

Qualifications

• 4+ years building and operating large-scale or distributed systems.
• Strong software-design instincts: modular code, tests, CI/CD, observability.
• Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).

Responsibilities

• Design and harden the codebase, tools, and distributed services for training frontier-scale models.
• Build and maintain shared dev-tools, evaluation & data pipelines, training framework, and cluster tooling.
• Interface research with product: expose clean APIs, automate model pushes, surface live metrics.

Skills

Python

C++

Rust

Go

Java

Kubernetes

SLURM

Education

Master’s in Computer Science or equivalent experience

Job description

Deepstreamtech is looking for a Research Engineer based in London to design and develop distributed systems for training frontier-scale models. You'll be responsible for writing clean, reliable code in Python and systems languages, while maintaining tools and internal pipelines. The ideal candidate has a Master’s in Computer Science and over 4 years of experience in large-scale systems development. Exposure to machine learning workflows is a plus. Join a collaborative team committed to innovation.