Core AI Platform Engineer – Inference & Scale

G-Research; Greater London; On-site; GBP 110,000 - 140,000; Full time

Benefits offered by this job

Highly competitive compensation plus annual discretionary bonus

Lunch provided

30 days annual leave

9% company pension contributions

Informal dress code

Comprehensive healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Job summary

A quantitative finance technology firm based in London is seeking an Engineer for their Core AI team. The role involves designing and operating the infrastructure for AI innovation, with a focus on C# and Kubernetes expertise. Candidates should enjoy building secure, scalable platforms for a team of engineers. Ideal candidates will have experience with distributed systems and Docker, and possess strong communication skills. Competitive compensation and a supportive work environment are offered.

Qualifications

• Strong expertise in C# and Python, building distributed systems and platform-level software.
• Deep Kubernetes expertise, including multi-tenant cluster operations.
• Experience with Docker, Terraform and CI/CD in controlled environments.

Responsibilities

• Design and operate model serving infrastructure including inference pipelines.
• Build and run centralised MCP servers ensuring secure access to tools.
• Own platform reliability, performance and scalability across Kubernetes-based infrastructure.

Skills

C#

Python

Kubernetes

Docker

Terraform

CI/CD

Distributed systems

Observability tooling (Prometheus, Grafana, OpenTelemetry)

Job description

A quantitative finance technology firm based in London is seeking an Engineer for their Core AI team. The role involves designing and operating the infrastructure for AI innovation, with a focus on C# and Kubernetes expertise. Candidates should enjoy building secure, scalable platforms for a team of engineers. Ideal candidates will have experience with distributed systems and Docker, and possess strong communication skills. Competitive compensation and a supportive work environment are offered.