📢 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

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