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AI / Machine LearningRemote

Staff ML Engineer

Third-Party Job Posts - Company

UK, ๐Ÿ‡ฌ๐Ÿ‡ง United KingdomFull-time - Principal (10+ years)0 applicantsCloses Aug 2, 2026

Salary

GBP 117,416 - 117,416 / year

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Job description

Job details

  • Location: UK
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: GBP 117,416 per year

Role overview

Cloudbeds is hiring a Staff ML Engineer to join their fully remote team transforming hospitality technology across 150 countries. This senior machine learning role involves building intelligent systems for a unified hospitality platform that processes billions in bookings annually and integrates with hundreds of partners.

Job details

This is a full-time, remote position open to candidates in the UK. The salary for this Staff ML Engineer role is ยฃ117,416 per year. Cloudbeds operates as a completely distributed team, enabling you to work from anywhere while collaborating with global innovators building cutting-edge ML solutions for independent properties and hotel groups worldwide.

Responsibilities

  • Design and implement ML systems powering hospitality operations at global scale
  • Build intelligent features for booking and property management workflows
  • Collaborate with cross-functional teams across 150+ countries remotely
  • Architect scalable ML pipelines processing billions in annual transactions
  • Mentor engineering teams on ML best practices and model deployment

Requirements

  • 10+ years of software engineering with 5+ years in machine learning
  • Expert-level Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Proven track record building production ML systems at scale
  • Strong understanding of distributed systems and cloud infrastructure
  • Excellent communication skills for remote collaboration
  • Experience with API integrations and platform architecture

Benefits

  • Fully remote work environment
  • Competitive salary of ยฃ117,416
  • Work with a global, distributed team
  • Impact hospitality industry at scale

Keywords

Machine LearningPythonML EngineeringHospitality TechDistributed SystemsAIData EngineeringCloud Platforms