Posted:
3/2/2026, 6:29:27 PM
Location(s):
Greater London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering
We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution — because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research – designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
We are seeking a Kubernetes engineer to join our London engineering team. In this role, you’ll play a pivotal part in shaping the platforms that enable our research and trading teams to run cutting-edge workloads at scale.
You will be responsible for designing, building, and operating mature Kubernetes-based infrastructure that is secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements.
Our environment spans everything from GPU-intensive machine-learning model training to ultra-low-latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You’ll work closely with researchers, engineers, and traders to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation.
Key responsibilities of the role include:
The ideal candidate will have the following skills and experience:
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Website: https://www.gresearch.co.uk/
Headquarter Location: London, England, United Kingdom
Employee Count: 251-500
Year Founded: 2001
IPO Status: Private
Industries: Business Intelligence ⋅ Cyber Security ⋅ Information Technology ⋅ Machine Learning ⋅ Natural Language Processing ⋅ Software Engineering