ML Ops Engineer
- 12 May 2026
- Machine Learning Engineering & ML Ops
- Sydney
- Permanent / Full Time
- ML Ops Engineer role! Data company, friendly team!
- Use Azure ML, Terraform, Python, Jenkins, Kubernetes
- Very interesting data and domain. Opportunity to have big impact
We are hiring an ML Ops Engineer to join a 4-5 person DevOps squad supporting a 10-person data science team. You will be working with Microsoft Azure ML, Terraform for IaC, Docker & Kubernetes, Python, Jenkins for CI/CD and more!
About the role:
This role is perfect for someone who is working around ML Ops *(could be in an ML Ops role already OR a DevOps Engineer who has been learning and upskilling in ML and supporting data science pipelines).
You will be helping your core stakeholders (the ML Engineer and data science team) uplift their ML Ops capabilities, so you can definitely influence process improvement and adopting best practices!
Location & Work Flexibility: This role is based in Sydney (1 or 2 days per week in their Surry Hills office)
About the Company:
This is an innovative, award-winning tech business that uses sensor data, weather, geospatial and satellite data combined with advanced analytics and machine learning!
Outside of your immediate DevOps peers, you will work closely with the ML Engineer, team of data scientists, Product Manager, Product Devs and more.
Selling Points:
About the role:
This role is perfect for someone who is working around ML Ops *(could be in an ML Ops role already OR a DevOps Engineer who has been learning and upskilling in ML and supporting data science pipelines).
You will be helping your core stakeholders (the ML Engineer and data science team) uplift their ML Ops capabilities, so you can definitely influence process improvement and adopting best practices!
Location & Work Flexibility: This role is based in Sydney (1 or 2 days per week in their Surry Hills office)
About the Company:
This is an innovative, award-winning tech business that uses sensor data, weather, geospatial and satellite data combined with advanced analytics and machine learning!
Outside of your immediate DevOps peers, you will work closely with the ML Engineer, team of data scientists, Product Manager, Product Devs and more.
Selling Points:
- Great tech stack; Microsoft Azure, CI/CD (Jenkins), Python, Kubernetes, Docker, Grafana
- High-calibre, experienced data scientists and engineers
- Fast Growth company (market-leading national clients and has just started expanding to include international clients)
- Machine Learning and data science are the competitive advantage for this business, so there is continued investment, support and use of cutting-edge techniques and tools.
- Salary range is: $130K-$150K + super
- We are open to a a mixture of the right experience, skills and aptitude for the right person, but it is very likely you would have;
- 1+ years focussed on ML Ops + 2-4 years of prior professional Data Engineering or DevOps experience
- Please note - you do not have to have "ML Ops" in your title before and open to related data or ML engineering backgrounds!
- Microsoft Azure experience with Azure ML is highly preferred
- Terraform Experience for IaC Infrastructure-as-Code
- CI/CD experience using Jenkins
- Python and other scripting/programming experience
- Docker is required - with Kubernetes preferred
- Automation of monitoring and alerting such as using Grafana or prometheus is ideal
- Good communication skills, including understanding other data science backgrounds and helping train & collaborate to make use of best practices for Ops
- Must have full Australian work rights
