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Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily. Joining Skyscanner means becoming part of a global brand that’s striving to become the planet’s go‑to travel hack accessible for all. About The Role (Hybrid) This is a leadership role at the beating heart of Skyscanner’s AI ambitions. As Engineering Manager for our Machine Learning Platform squad, you’ll lead a technically diverse team building the foundations that power real‑time machine learning across the company. You’ll partner closely with Data Science, Product and fellow Platform teams to evolve our ML‑serving stack and make it easier for teams across Skyscanner to ship smarter experiences, faster. You’ll guide the evolution of our ML‑serving capabilities — balancing performance, cost, reliability and usability. You’ll help the team turn strategy into shipped, high‑quality solutions that power critical traveller experiences. You’ll work hand‑in‑hand with Data Science, Product Managers and Principal Engineers to define and deliver the roadmap. You build strong relationships across Engineering, Product and Data Science. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Engineering Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet #