Senior AI Platform & Infrastructure Engineer

Lenovo; City of Edinburgh; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Opportunities for career advancement

Diverse training programs

Performance-based rewards

Flexibility with hybrid work model

Electric car salary sacrifice scheme

Life insurance

Job summary

A leading technology company in Edinburgh is looking for a highly skilled AI Infrastructure Engineer to design, build, and maintain infrastructure for AI model development. This role requires deep expertise in Kubernetes and MLOps tools, as well as proficiency in Python and automation frameworks. The position supports a hybrid work model, requiring office presence at least three days a week. Join us to help shape the future of AI at a global scale.

Qualifications

• 8+ years of DevOps / Cloud Native engineering experience focusing on Kubernetes.
• Proficient in Python, Bash scripting, and automation frameworks.
• Strong observability experience with Prometheus & Grafana.

Responsibilities

• Design, deploy, and maintain AI and ML platforms on Kubernetes.
• Build and automate ML pipelines using KubeFlow and Python.
• Implement monitoring and alerting for AI workloads.

Skills

Kubernetes and OpenShift

Python

CI/CD Pipelines

GitOps

Linux system administration

MLOps tooling

Ansible

Terraform

Prometheus

Grafana

Education

Bachelor’s degree in Computer Science or related field

Tools

KubeFlow

KServe

NVIDIA Triton

AWS

GCP

Azure

Job description

A leading technology company in Edinburgh is looking for a highly skilled AI Infrastructure Engineer to design, build, and maintain infrastructure for AI model development. This role requires deep expertise in Kubernetes and MLOps tools, as well as proficiency in Python and automation frameworks. The position supports a hybrid work model, requiring office presence at least three days a week. Join us to help shape the future of AI at a global scale.