ML-OPS ENGINEER | CONTRACT | PERTH METRO

The quick version

• Short, sharp delivery role focused on operationalising and supporting ML and data pipelines
• Hands-on MLOps with strong emphasis on monitoring, reliability and production support
• Flexible engagement: full-time or part-time considered

Why this role exists

An established data initiative needs an experienced Machine Learning Engineer with a strong MLOps and operational focus to take existing ML and data pipelines and ensure they are production-ready, reliable and supportable. The role sits within a project team but works closely with operational teams in a complex corporate environment.

What you’ll do

• Deploy and harden ML models and pipelines into robust, production-grade environments
• Support business-critical ML and data pipelines in production
• Monitor live pipelines and models, including alerting, performance tuning and optimisation
• Take accountability for data and model outcomes, understanding their importance to the business
• Support scheduling, chaining and production control aligned with ITSM and change management processes
• Provide a senior view on pipeline design, supportability and maintainability
• Guide teams towards better platform management and continuous improvement
• Collaborate closely with data scientists, software engineers, delivery leads and operational teams
• Work in an Agile delivery model with high-quality outputs under tight deadlines

What you’ll bring

• Proven experience as a Machine Learning Engineer, MLOps Engineer or similar production-focused role
• Strong background supporting ML or data pipelines in live, business-critical environments
• Experience working within complex corporate or enterprise settings
• Solid understanding of monitoring, alerting, performance tuning and operational support models
• Familiarity with scheduling, orchestration and production control concepts
• Comfortable working across both project delivery and BAU operational teams
• Able to hit the ground running in short-term, outcome-driven engagements

Nice to have

• Experience working with ITSM, change management or formal production support frameworks
• Experience working in mixed on-site and remote delivery teams

Team & ways of working

• You’ll join a cross-functional delivery team working in Agile sprints, partnering with data science, engineering, project and operational stakeholders.

Contract details

• Initial term: 3-month rolling contract
• Hours: Up to 40 per week, weekdays only
• Flexibility: 0.6–1.0 FTE considered
• Location: Perth Metro/hybrid

Why it’s different

• Strong operational focus with real production accountability
• Opportunity to influence how ML and data pipelines are supported and maintained
• Flexibility on hours without sacrificing technical depth
• Work on meaningful ML systems, not experiments that never ship

What to do next

Apply via DR Analytics Recruitment.