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 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 AI
The teams depending on your platform include Model R&D;, Computer Vision, Insurance Data Science, Agentic AI, and AI Map Data.
Qualifications
What we're looking for
Must-haves:
Production experience building and operating Kubernetes-based platforms (EKS/GKE) at scale
High-scale, high-concurrency API development and operation in production environments
Real operational mindset: you've managed systems with SLAs and SLOs and stayed close through incidents
Strong DevOps fundamentals — CI/CD, infrastructure-as-code, deployment pipelines
Production-level Python — services and libraries, not just scripts
Highly valued:
Ray Serve or equivalent real-time model serving experience
LLM or generative AI platform work in production (beyond PoC)
ML observability tooling — Arize AI, Evidently,



Prometheus/Grafana
Infrastructure-as-code with Terraform
Experience at terabyte or petabyte scale
GPU/CPU cost optimisation
A degree in computer science, engineering, mathematics, or a related field is welcome — equivalent practical experience is equally valued.
This role is based in either in our Barangaroo, Sydney office, or on the east coast of Australia (QLD, ACT, VIC, SA, TAS only)
This role is open to Australian citizens and permanent residents, or those with full working rights in Australia.
Additional Information
Some of our perks
Nearmap takes a holistic approach to our employees' emotional, physical and financial wellness. Some of our current benefits include:
Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days
Wellbeing and technology allowance
Annual flu vaccinations
Hybridflexibility for this role
Nearmap subscription (of course!)
Stocked kitchen with access to all the snacks you need
In-office lunch every Tuesday and Thursday at our Sydney CBD office
Showers available for anyone cycling to work or lunchtime gym-goers!
Working at Nearmap
We move fast, we care about craft, and we're proud of what we're building. If you're energised by turning hard problems into real-world impact, we'd love to meet you.
Read the product documentation for Nearmap AI:
For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast
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📌 Copy Of Senior Machine Learning Engineer (Platform / Mlops) (Sydney)
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