AI Platform Engineer — Scalable GPU Inference & Infra

Leonardo

Southampton

Hybrid

GBP 70,000 - 110,000

Full time

4 hours ago
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Benefits offered by this job

Flexi-days
Pension 15% employer contribution
Mental health support
Coursera/LinkedIn Learning
Referral programme
Private healthcare

Job summary

Leonardo UK is recruiting AI Platform Engineers to shape, build and operate the infrastructure and services underpinning our AI platform across multiple grades. The role focuses on secure, reliable access to AI models and inference services within a hybrid working model in the UK.

You will help deploy, operate and secure scalable inference services using containers, Kubernetes and AI gateways while establishing engineering standards for enterprise environments.

Qualifications

  • Experience operating shared or business-critical platforms.
  • Familiarity with large language models and running them.
  • Experience troubleshooting distributed systems and performance issues.
  • Familiarity with infrastructure as code and CI/CD pipelines.
  • Effective communication and stakeholder engagement.
  • Curiosity and drive for continuous improvement.

Responsibilities

  • Take ownership of the platform layer above GPU infrastructure, including model serving and inference runtimes.
  • Deploy and operate scalable inference services using containers, Kubernetes and AI gateway platforms; improve observability and performance.

Skills

Platform ownership
LLM familiarity
Distributed systems
Infra as code CI/CD
Communication
Curiosity

Tools

Docker
Kubernetes
Linux

Job description

Leonardo UK is recruiting AI Platform Engineers to shape, build and operate the infrastructure and services underpinning our AI platform across multiple grades. The role focuses on secure, reliable access to AI models and inference services within a hybrid working model in the UK.

You will help deploy, operate and secure scalable inference services using containers, Kubernetes and AI gateways while establishing engineering standards for enterprise environments.

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