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 3 months ago
This role is expired

These roles are hiring now

View all similar roles →

Executive Manager - AI Engineering Consulting

Quantium
Sydney, NSW
hybrid
  • Lead AI engineering team, guide enterprise AI transformation engagements
  • Strong engineering leadership experience with proven track record
  • AI/ML, consulting, technical judgement, stakeholder management
Posted 3d ago

Applied AI Engineer, Codex

OpenAI
Sydney, NSW
hybrid
  • Build AI solutions with Codex for enterprise engineering workflows
  • 5+ years software development, deployment, data or infrastructure engineering
  • AI coding tools, software engineering, cloud infrastructure, enterprise integrat
Posted 5d ago

AI Engineering Consultant

Practiv
Sydney, NSW | Melbourne, VIC
hybrid
  • Architect, build and deploy production-grade AI solutions for clients
  • Strong software engineering skills with Python and/or JavaScript
  • LLM frameworks, RAG, MCP servers, AI agents, cloud platforms
Posted 6d ago

Software Engineering Manager, AI and Infra

Google
Sydney, NSW
  • Lead AI infrastructure networking systems and manage engineering teams
  • 8+ years full-stack development, 3+ years technical leadership
  • Python, Go, Java, C++, TypeScript, AI infrastructure, networking systems
Posted 6d 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.