Senior Machine Learning Engineer Job at Flight Centre Brand (South Bank)

Senior Machine Learning Engineer

Flight Centre Brand

Location:
Australia , South Bank

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As our Senior ML Engineer, you will play a key role in delivering high impact, first of their kind AI solutions within the travel industry. You will design and productionise advanced AI systems that operate reliably at scale and directly contribute to the evolution of our AI platform. This role spans Classical ML, Generative AI, AI agents and agentic workflows. You will build robust ML and LLM systems, contribute to platform standards across MLOps and LLMOps, and ensure strong evaluation, safeguards and observability across production AI systems. You will provide technical leadership within projects, mentor engineers, and drive engineering excellence across multiple concurrent AI initiatives.

Job Responsibility:

Design, develop and productionise ML models, LLM powered systems and agent based applications
Implement end to end MLOps pipelines including CI CD, model registry, monitoring, drift detection and retraining for predictive ML systems
Build LLMOps workflows including context engineering, automated evaluation, safeguards and guardrails
Develop AI agent workflows, endpoints, gateways and orchestration layers enabling secure tool usage and structured reasoning
Contribute to MCP server implementation and modern agent communication protocols
Implement strong observability across ML and GenAI systems including reliability, latency, evaluation metrics, usage and cost tracking
Build scalable ML infrastructure, and AI/ML optimised workflows
Deploy and optimise workloads on Kubernetes and cloud native environments
Collaborate with product and business stakeholders to deliver high impact AI solutions

Requirements:

5+ years delivering production grade ML or AI systems with commercial impact
Strong hands on experience across AI/ML lifecycle, infrastructure and scalable AI architecture
Experience building AI agents, RAG systems or LLM powered applications in production
Familiarity with agent endpoints, gateways and tool orchestration patterns
Exposure to MCP servers and emerging agent protocols
Experience implementing evaluation frameworks and safety mechanisms for LLM systems
Deep knowledge of Python and modern AI/ML frameworks
Experience working with Databricks
Strong understanding of Kubernetes and distributed production systems

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
Social events
Corporate Social Responsibility program supporting nominated charities
Sustainability initiatives

Additional Information:

Job Posted:
March 25, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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