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Machine Learning Ops Engineer

Portugal, Oporto · Job Posted August 12, 2025
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Job Description

The Customer AI & Rapid Prototyping department stands at the forefront of digital transformation at TUI, driving company-wide AI adoption. Our team develops innovative AI solutions and personalized customer experiences that create measurable business value and give TUI a competitive edge in the travel industry. We combine data science, AI prototyping, and strategic implementation to deliver both rapid innovation and sustainable personalization solutions. In our dynamic work environment, we foster a culture of experimentation and data-driven decision-making, while working closely with various business units to shape the future of personalized travel experiences.

Job Responsibility

  • Develop, implement, and maintain machine learning models and algorithms
  • Work closely with cross-functional teams to integrate ML solutions into production systems
  • Monitor and optimize the performance of deployed AI models
  • Collaborate with engineering colleagues on AI-related tasks to deliver impactful, data-driven solutions
  • Research, evaluate, and test new approaches, processes, and tools

Requirements

  • Experience in productionising and using various AI models and algorithms
  • Experience in deploying AI solutions using CI/CD pipelines, API development and containers
  • Strong programming skills in Python
  • Understanding of machine learning/AI frameworks and libraries
  • Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
  • Experience with monitoring and log collection systems (e.g. DataDog)
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
  • Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

What we offer

  • Attractive remuneration
  • bonus opportunity
  • exclusive travel perks & discounts
  • extensive health & wellbeing support
  • Flexible working
  • hybrid or remote working models
  • Opportunities to upskill, reskill and grow your career
  • Access the TUI Tech Learning Hub
  • Participate in our tech communities and collaborate on global projects and teams
  • Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community

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