ML Engineer
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📢 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