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SeniorFull-timePythonRustAWSGCPDockerData ScienceCI/CDAIML
Salary Range
$90,168 - $121,992 /year
This salary is estimated based on similar roles. The actual salary may vary.
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 opportunity 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 new world of AI engineering — which means this role suits someone with a strong 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 AIThe teams depending on your platform include Model R&D, Computer Vision, Insurance Data Science, Agentic AI, and AI Map Data.
