Senior Machine Learning Engineer

Nearmap is a global property intelligence company redefining how organisations understand and act on the built environment, combining recent aerial imagery, AI analytics, and guaranteed building materials data to delivers a single, trusted source of truth for property decisions.

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

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 our Barangaroo, Sydney office, with an expectation of at least two days per week on-site.

This role is open to Australian citizens and permanent residents, or those with full working rights in Australia.

Some of our benefits

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
• Hybrid flexibility 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 and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch. 

Read the product documentation for Nearmap AI:

https://docs.nearmap.com/display/ND/NEARMAP+AI

For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale

Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.