📢 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
  

If you'd like, I can also tailor this to a specific brand voice, shorten it for LinkedIn, or format it for a job board like Seek.