Senior Machine Learning Engineer (Team Lead) – Various Australian Cities

Overview

Job no: 529754
Brand: Product and Technology
Work type: Full time
Location:

New South Wales, Queensland, Victoria

Categories: Digital and Technology, Data and Business Intelligence

At Flight Centre Travel Group (FCTG) our purpose is to ‘open up the world for those who want to see’. Every day, we give people all around the world the opportunity to experience something amazing – travel!

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.

If you enjoy coaching and mentoring engineers, building technical depth across the team, and managing multiple concurrent AI initiatives from discovery through to large scale deployment, we encourage you to apply!

This is a rare opportunity to lead industry defining AI capabilities and deliver advanced, scalable AI products in one of the most data rich sectors globally.

Day to Day

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

We would love to hear from you, if you have:

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 you will enjoy:

️Culture: you will be employed by an inclusive company that offers a team culture like no other in the industry – Flight Centre Travel Group Australia is proud to be a certified Great Place to Work® Australia New Zealand Pty Ltd

Our People: FCTG is an Equal Opportunity Employer and encourage all suitably qualified applicants to apply, including Aboriginal and Torres Strait Islander People and people from racial, ethnic, or ethno-religious minority groups and people with disability

Development: Individualised, ongoing Learning & Development via communities of practice. Dedicated time to learn, share and collaborate skills, interests and goals, as well as contribute your own expertise and insights of others.

Innovation Days where you have the opportunity to create, collaborate, and bring innovative concepts to life!

‍ Dedicated Engineering Days, often hosted by technology partners off-site, where staff have an opportunity to increase knowledge and skills, and test out new and exciting technologies.

Access to ‘ Learning’ for ongoing skills development: over 24,500 courses in over 20 languages

️Women in PM&E group – this comprehensive program aims to foster gender diversity and empower and support women in their pursuit of successful careers in technology. It encompasses a variety of initiatives, workshops, mentorship opportunities, and networking events.

Exclusive Staff Discounts: Accessible via our employee-only portal with 350+ of Australia’s leading retailers, health and wellness discounts, financial planning advice, employee share plan and more

Travel Discounts: Including family and friends – flights, hotels, tours, cruises, travel insurance and more

Brightness of Future: Career opportunities in a network of brands and businesses across the globe – we promote from within

Corporate Health Discounts: Access exclusive discounts on health insurance plans for you and your family with our partner, BUPA, access to internal gym

Mental Health: Support and Employee Assistance Program for staff and family

Social: Regular awards nights, social team-building and industry events, with the opportunity to attend global conferences (Bangkok in 2026)

Giving Back: Corporate Social Responsibility program supporting nominated charities through Workplace Giving, volunteering and fundraising; paid parental and volunteer leave

Sustainability: The protection of our environment is essential to the future of tourism, as a leading travel group, we have made efforts to affect positive change to the environment

Irreverence. Ownership. Egalitarianism.

#LI-KC1#LI#onsite

Applications close:

Company:

Product and Technology

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Business Intelligence, Industry, Machine Learning, NLP, United Kingdom