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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