ML Engineer
Apply for this job
These roles are hiring now
View all AI roles →Data Scientist
- Extract, transform & analyse complex workforce datasets for WA Health
- Advanced data science, analytics & programming experience required
- Data science, analytics, programming, workforce analytics, data quality
Data Reporting & Analytics Specialist
- Design dashboards, analyse operational data, support ML/AI applications
- Hands-on experience in data analytics in complex organisations
- Power BI, Tableau, SQL, data visualisation, business intelligence
Minestar Mine Controller | System Builder Autonomous Haulage
- Manage autonomous fleet operations using MineStar Command FMS
- Previous Mine Control or System Builder experience required
- MineStar Command, fleet management, mine operations
AI Engineer Agent Ops
- Build and support AI/LLM operations capabilities at enterprise scale
- Experience building applications, integrations or cloud infrastructure
- APIs, CI/CD, IaC, containers, AWS/Azure, Kubernetes, Python
📢 Job Opportunity: Machine Learning Engineer - Financial Services (Sydney)
💰 Salary: $150,000 + Super
🏢 Location: Sydney CBD (Hybrid)
☁️ Tech Focus: Azure | Python | SQL | AI Enablement
A leading Financial Services institution is embarking on a major wave of AI-driven initiatives, and we're looking for a talented Machine Learning Engineer to join the team.
In this role, you'll help design, build, and deploy machine learning solutions on Azure, supporting enterprise-wide AI rollout programs. You'll work closely with data scientists, cloud engineers, and business stakeholders to drive innovation and deliver impactful, scalable ML systems.
Develop, deploy, and maintain ML models and pipelines in Azure
Collaborate with cross-functional teams to support AI program delivery
Optimise and automate model training, monitoring, and performance processes
Build scalable data workflows using SQL, Python, and Azure data services
Assist with model governance, documentation, and best-practice implementation
Contribute to the design of cloud-native ML architectures
Strong experience as a Machine Learning Engineer, Data Engineer or similar
Proficiency in Python for ML engineering, data manipulation, and automation
Solid knowledge of SQL and relational data systems
Hands-on experience with Azure ML, Azure Data Factory, Databricks, or related Azure services
Experience deploying ML models into production environments
Familiarity with MLOps practices is a strong advantage
Experience in Financial Services is desirable but not essential
Join a major institution at the forefront of AI transformation
Work with a modern Azure data/ML stack
Strong career growth opportunities across data, cloud, and AI teams
Competitive salary: $150k + Super