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Robotics, Artificial Intelligence (AI) & Machine Learning jobs in Sydney NSW

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Posted 39d ago

Senior Machine Learning Systems Engineer

Atlassian
Sydney NSW 2000•Full time
~$120k - $160k(Estimated)
KEY POINTS WE FOUND
  • Join the Central AI Org to drive AI innovation across Atlassian products.
  • Build tools for AI and Machine Learning that empower teams and customers.
  • Integrate AI capabilities into workflows while adhering to security policies.
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Posted 41d ago

Senior Machine Learning Engineer

Atlassian
Sydney NSW 2000•Full time
~$120k - $160k(Estimated)
KEY POINTS WE FOUND
  • Join the AI Context team within the Rovo + AI organisation.
  • Build agentic LLM harnesses for Rovo AI features.
  • Enable contextually aware, intelligent experiences for users and agents.
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Posted 43d ago

Senior Machine Learning Engineer (Platform)

Neara
Sydney NSW 2000•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
  • Build and operate ML pipelines from data ingestion to deployment.
  • Automate CI/CD processes for models and maintain production health.
  • Manage distributed training infrastructure and improve ML team workflows.
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+60d ago

Staff Machine Learning Engineer (Platform)

Neara
Sydney NSW 2000•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
  • Own the ML platform strategy end-to-end, defining the technical roadmap.
  • Develop foundational infrastructure to accelerate ML delivery and standardise workflows.
  • Solve distributed systems problems and design scalable serving architecture.
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Posted 5d ago

Site Automation Lead

Michael Page
Chullora NSW 2190•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
  • Lead the ongoing performance and reliability of automation systems.
  • Drive continuous improvement initiatives and support plant upgrades.
  • Manage automation projects from concept through to implementation.
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Posted 44d ago

Senior Machine Learning Engineer - Australia

Neara
Sydney NSW 2000•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
  • Develop machine learning models for digitising real-world infrastructure.
  • Mentor junior engineers and foster a collaborative work environment.
  • Stay updated with best practices in data handling and MLOps.
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