Skip to main content

Head of Machine Learning & Data Engineering

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Nanosonics
Sydney, NSW
hybrid
Full Time / Permanent

Apply for this job

Posted 1 month ago
This role is expired

These roles are hiring now

View all similar roles →

Lead AI Engineer

Westpac Group
Sydney, NSW | Melbourne, VIC | Brisbane, QLD
hybrid
  • Build and operationalise AI applications and ML models
  • Highly established people leadership experience required
  • Python, TensorFlow, PyTorch, LangChain, Azure ML, AWS
Posted 7h ago

AI Engineering Manager

MYOB
Sydney, NSW | Melbourne, VIC
hybrid
  • Lead AI team building ML systems for business management platform
  • Experience mentoring and leading engineers
  • LLMs, PyTorch, TensorFlow, AWS SageMaker, Bedrock, MLOps
Posted 3d ago

Forward Deployed Engineer, GenAI, Financial Services

Google
Sydney, NSW | Melbourne, VIC
  • Build production-grade GenAI solutions embedded within customer environments
  • 5+ years software development experience
  • Python, AI systems, cloud platforms, RAG, vector databases, multi-agent
Posted 7d ago

AI Consultant

XPT Software
Sydney, NSW
  • AI/ML consulting, translating AI solutions into business outcomes
  • 5-12 years AI/ML/NLP/LLM engineering or AI consulting experience
  • Generative AI, LLMs, RAG pipelines, Python, PyTorch, Azure OpenAI
Posted 8d ago

Nanosonics is seeking an experienced and visionary Head of Machine Learning & Data Engineering to lead our enterprise data, analytics and AI capabilities as we continue to accelerate our digital transformation journey.

Reporting to the CIO, you will define and execute our Data & AI strategy, build scalable cloud-based data platforms, and lead the development of machine learning solutions that drive innovation, operational excellence and business growth across our global organisation.

This is a highly visible leadership role, partnering with senior stakeholders to identify opportunities where data, analytics and AI can create meaningful business value while ensuring strong governance, security and compliance.

What You'll Do

  • Develop and execute Nanosonics' Data, Analytics and AI strategy aligned to our business objectives.
  • Lead the design and operation of scalable enterprise data platforms and machine learning capabilities.
  • Drive the delivery of advanced analytics, AI and machine learning solutions across the organisation.
  • Establish best practice data governance, MLOps, security and compliance frameworks.
  • Build and lead a high-performing team of Data Engineers, Data Scientists and Analytics professionals.
  • Partner with senior leaders to develop business cases, prioritise investments and deliver measurable outcomes.

About You

You are a strategic technology leader with deep expertise in data platforms, analytics and machine learning, combined with a strong track record of delivering business value through technology. You will bring:

  • 10+ years' experience leading enterprise Data, Analytics, AI or Machine Learning functions.
  • Proven experience building cloud-based data platforms, preferably within AWS environments.
  • Strong leadership experience developing high-performing technical teams and managing strategic vendor relationships.
  • Expertise across data engineering, advanced analytics, machine learning and data governance.
  • Experience operating within complex, global organisations and influencing senior stakeholders.

Experience within healthcare, MedTech or other regulated industries will be highly regarded.

Why Nanosonics?

This is an opportunity to shape the future of Data and AI within a global healthcare technology company committed to innovation and improving patient outcomes worldwide. Guided by our values of Collaboration, Innovation, Discipline, Agility and Will to Win, you'll have the opportunity to build world-class capabilities and make a lasting impact across our business.

If you're passionate about leading data-driven transformation and unlocking the potential of AI, we'd love to hear from you.