25 Jun 2026

Platform Engineer / Operations Engineer - (ML / AI)

Nearmap

Melbourne

25 Jun 2026

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Nearmap is hiring a Senior MLOps Engineer to build and scale ML infrastructure for aerial imagery and AI products. The role involves designing ML platforms on AWS/GCP, building LLM platforms, and owning developer experience. Requires strong Kubernetes and Python skills, with a hybrid work model based in Melbourne.

Core AIHybridFull-timeSeniorKubernetesEKS

Platform Engineer / Operations Engineer - (ML / AI)

Apply

Core AIHybridFull-timeSeniorKubernetes

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid flexibility for this role; at least two days per week on-site in Sydney office

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

KubernetesEKSGKECI/CDPythonDockerArgoCDRay ServeAWSGCPTerraformPrometheusGrafanaAPI developmentInfrastructure as Code

Soft Skills

autonomyownershipoperational mindsetcommunication

Preferred Qualifications

Technical (Nice-to-have)

LLMgenerative AIArize AIEvidentlyML observabilityGPU cost optimisationterabyte scalepetabyte scale

Key Responsibilities

•Designing and building scalable ML infrastructure — large-scale batch inference on EKS, real-time model serving via Ray Serve, and GPU-accelerated distributed training on GCP and AWS
•Building the LLM platform that will underpin Nearmap's next generation of generative AI products — including deployment, governance, experimentation, and cost optimisation across CPU/GPU workloads
•Owning developer experience for AICV engineering teams — CI/CD pipelines, Docker tooling, ArgoCD, W&B, and Arize AI
•Driving reliability and observability across production ML systems with real SLAs and SLOs
•Contributing production-quality Python to shared platform libraries and services
•Playing a tech lead role on your primary project, with advisory exposure across others
•Engaging directly with ML tooling vendors including AWS, GCP, Weights & Biases, Confluent, and Arize AI

MLOpsKubernetesPythonAWSGCPAILLMSeniorPlatform EngineeringDevOps

Key Responsibilities

•Designing and building scalable ML infrastructure — large-scale batch inference on EKS, real-time model serving via Ray Serve, and GPU-accelerated distributed training on GCP and AWS

•Building the LLM platform that will underpin Nearmap's next generation of generative AI products — including deployment, governance, experimentation, and cost optimisation across CPU/GPU workloads

•Owning developer experience for AICV engineering teams — CI/CD pipelines, Docker tooling, ArgoCD, W&B, and Arize AI

•Driving reliability and observability across production ML systems with real SLAs and SLOs

•Contributing production-quality Python to shared platform libraries and services

•Playing a tech lead role on your primary project, with advisory exposure across others

•Engaging directly with ML tooling vendors including AWS, GCP, Weights & Biases, Confluent, and Arize AI