Senior Machine Learning Engineer

Brambles

Multiple Locations
Hybrid
Machine learning model deployment
Mlops best practices
Databricks platform experience
You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner

Job Summary

  • You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner.
  • You will work closely with Data Scientists and Engineers to productionize ML and emerging GenAI solutions, owning the full lifecycle from model development through deployment, monitoring, and iteration.
  • We are an Equal Opportunity Employer, committed to developing a diverse workforce where everyone is treated fairly and has the opportunity to contribute to business success.

Matching Summary

You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner.

Skills & Requirements

Must-have

  • Machine learning model deployment
  • MLOps best practices
  • Databricks platform experience
  • Python programming proficiency
  • ML pipeline development
  • CI/CD for ML workflows
  • Collaboration with data scientists

Nice-to-have

  • GenAI and LLM experience
  • Code reviews and maintainable code
  • Data storytelling
  • Hybrid work model
  • Empathy and teamwork
  • Experimentation mindset
  • Cloud infrastructure (AWS)

Key Requirements

  • 5+ years machine learning engineering experience
  • Bachelor’s or master’s degree in related field or 7+ years equivalent experience
  • Experience deploying ML models in production
  • Experience with ML lifecycle management tools
  • Proven collaboration in cross functional teams

Work Rights

Not specified

Tailored Resume

Cover Letter