Senior Machine Learning Engineer

4 days ago

Melbourne, Victoria, Australia beBeeMachineLearning Full time $120,000 - $160,000

Unlock Advanced ML Opportunities

We are seeking an experienced Machine Learning Solutions Specialist to drive cutting-edge ML solutions in a leading organisation, leveraging Azure ML to deliver commercial outcomes across the business.

This is a fantastic opportunity to join a high-impact data team and play a key role in rolling out advanced Machine Learning initiatives across a complex, fast-paced commercial environment.

The Opportunity

Our client is a leader in their industry and is investing heavily in data science and AI to drive smarter, faster decision-making across the organisation.

As part of this investment, they're looking for a highly skilled Machine Learning Solutions Specialist to build and deploy scalable ML models using Azure ML and MLOps frameworks.

You'll work closely with business stakeholders and technical teams to identify high-value use cases, develop and iterate on ML prototypes, and deliver production-ready models that create measurable business outcomes.

The Role

  • Design, develop, and deploy end-to-end ML models using Azure ML, Pipelines, and Data Factory
  • Build quick proof-of-concepts to demonstrate feasibility and refine solutions for production
  • Collaborate with stakeholders across commercial and technical teams to identify and prioritise business problems that can be solved with ML
  • Own the entire ML lifecycle from data preprocessing and feature engineering through to deployment, monitoring, and retraining
  • Implement scalable MLOps strategies including CI/CD, performance tracking, drift detection, and automated retraining
  • Work cross-functionally with data engineers and software developers to embed models into production systems
  • Champion ML best practices and reusable workflows across the broader team

Requirements

  • 5+ years of hands-on experience in data science and ML model development
  • Expertise in Azure ML and MLOps, with strong capability in feature engineering, model evaluation, and deployment
  • Proven experience developing and iterating on ML prototypes to quickly validate business value
  • Strong understanding of CI/CD pipelines for ML and real-world deployment strategies
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders
  • Previous experience in FMCG or supply chain industries are highly desirable
  • Familiarity with recommendation systems, time-series forecasting or geospatial analytics is a bonus
  • A collaborative mindset with the ability to thrive in a fast-paced, iterative environment

Key Requirements

  • Must have: Mid-Senior level, Contract employment type, Analyst, Science, and Consulting job function
  • Preferably: Transportation, Logistics, Supply Chain and Storage, IT System Data Services, and Data Infrastructure and Analytics industries

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