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Flight Centre Brand Logo Flight Centre Brand · IT - Software Development

Senior Machine Learning Engineer (Team Lead)

Australia, South Bank · Job Posted March 25, 2026
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Job Description

As our Artificial Intelligence (AI) and Machine Learning (ML) Team Leader, you will drive the delivery of high impact, first of their kind AI solutions within the travel industry. You will lead the design and productionisation of advanced AI products that operate reliably at scale, shaping the long-term AI strategy and platform foundations. This role spans Classical ML, Generative AI, AI agents and agentic workflows. You will define robust ML and LLM infrastructure, establish strong engineering standards across MLOps and LLMOps, and ensure production grade evaluation, safeguards and observability across all AI systems.

Job Responsibility

  • Lead the development and productionisation of ML models, LLM powered systems and agent based applications
  • Define and build end to end MLOps including CI CD, model registry, monitoring, drift detection and retraining for predictive ML systems
  • Establish LLMOps standards including context engineering, automated evaluation pipelines, red teaming, safeguards and policy guardrails
  • Architect and build AI agent workflows, endpoints, gateways and orchestration layers enabling secure tool access, structured reasoning and multi agent collaboration
  • Design and govern MCP servers and modern agent communication protocols to ensure interoperability, security and scalability
  • Implement strong observability across ML and GenAI systems including reliability, latency, evaluation metrics, usage tracking and cost control
  • Drive scalable ML infrastructure, feature stores and data platforms on Databricks
  • Oversee Kubernetes based deployments and cloud native AI infrastructure
  • Partner with senior stakeholders to prioritise and deliver multiple high impact AI initiatives
  • Coach and grow a high performing AI engineering team

Requirements

  • 7+ years delivering production grade ML or AI systems with proven commercial impact
  • 3+ years Leading and Mentoring engineers
  • Experience building AI agents, RAG systems or LLM powered applications in production
  • Demonstrated experience leading technical teams and managing complex AI programmes
  • Strong hands on experience across ML infrastructure, distributed systems and scalable AI architecture
  • Experience building and governing AI agent platforms including endpoints, gateways and tool orchestration
  • Familiarity with MCP servers and emerging agent communication standards and protocols
  • Experience defining evaluation frameworks, safety mechanisms and governance for LLM and agent based systems
  • Deep knowledge of Python, modern AI/ML frameworks and scalable AI platforms including Databricks
  • Strong expertise in Kubernetes and cloud native production environments

What we offer

  • Individualised, ongoing Learning & Development via communities of practice
  • Innovation Days
  • Dedicated Engineering Days
  • Access to 'LinkedIn Learning' for ongoing skills development
  • Women in PM&E group
  • Exclusive Staff Discounts
  • Travel Discounts
  • Career opportunities in a network of brands and businesses across the globe
  • Corporate Health Discounts
  • Mental Health Support and Employee Assistance Program for staff and family
  • Regular awards nights, social team-building and industry events
  • Corporate Social Responsibility program supporting nominated charities
  • Sustainability efforts
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