Senior Machine Learning Engineer Platform / Mlops Barangaroo

Senior Machine Learning Engineer Platform / Mlops Barangaroo

05 Aug
|
Nearmap
|
Barangaroo

05 Aug

Nearmap

Barangaroo

Job Description

To help us scale the AI systems behind that intelligence, we're looking for a Senior MLOps Engineer to join our Platform team in Sydney.

This is a genuine prospect to own greenfield platform work at serious scale. Nearmap is one of the top three AWS users in the APAC region. The systems you'll build aren't theoretical — they're processing aerial imagery across Australia, the US, and Canada, and serving AI models to real customers at high concurrency.

You'll sit between traditional DevOps and the current world of AI engineering — which means this role suits someone with a robust back-end and platform engineering foundation who is ready to grow their career into AI, or who is already making that transition. AI experience is a bonus, not a barrier to entry — we can coach that side as a team.

What you'll be doing

You'll own projects end to end — from architecture and design through to implementation, delivery, and production operations. That kind of trust and autonomy is real here, not a recruitment line.

Day to day that looks like:




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

The teams depending on your platform include Model R&D;, Computer Vision, Insurance Data Science, Agentic AI, and AI Map Data.

📌 Senior Machine Learning Engineer Platform / Mlops Barangaroo
🏢 Nearmap
📍 Barangaroo

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