Senior Machine Learning Engineer

About the Company

Join a leading player in the travel industry that has recently celebrated a record year in revenue, with exciting growth projected ahead. This organisation is not just a leader in the travel sector but also a company deeply committed to fostering a dynamic, inclusive workplace where employees are supported, encouraged, and inspired to excel. Known for its vibrant culture and innovative spirit, the company is dedicated to investing in its people and maintaining a strong sense of social responsibility. You'll be part of a collaborative environment that values teamwork, development, and the drive for excellence, providing the foundation for a rewarding and impactful career.

About the Role

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




About You

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


Please apply with current resume in Microsoft Word format only (.doc or .docx). If you would like to have a confidential discussion, please contact Adnan​ Haidermota on adnan.haidermota@davidsonwp.com, quoting reference JN -042026-43187. Want to know more about Davidson? Visit us at www.davidsonwp.com