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2 дня назад

Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Machine Learning Engineer (AI): Developing and optimizing intelligent systems for travel-related products with an accent on the full model lifecycle, from data processing to deployment. Focus on building and scaling agentic AI, LLM-powered experiences, and ranking models to deliver measurable business impact.

Location: London or Manchester, UK (hybrid)

Company

A global leader in business travel, leveraging cutting-edge technology and a product-focused AI team to revolutionize the industry.

What you will do

  • Design, build, and deploy ML models and compound AI systems for ranking, intent recognition, and agentic workflows.
  • Manage the full ML lifecycle from raw data preparation and feature engineering to production deployment and monitoring.
  • Collaborate with global cross-functional teams to solve complex business problems using AI and statistical methods.
  • Apply data-driven decision-making and manipulate large datasets using SQL and PySpark.
  • Communicate complex technical concepts and model insights to non-technical partners and leadership.

Requirements

  • 6+ years of experience with a bachelor’s degree, or 3+ years with a master’s degree.
  • Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Solid understanding of LLMs, RAG, agentic AI, and statistical modeling techniques.
  • Experience working with large real-world datasets and data pipelining.
  • Familiarity with MLOps concepts, AWS, and data cleansing using SQL/PySpark.

Nice to have

  • Experience with MLFlow, AWS SageMaker, and Bedrock.
  • Infrastructure knowledge (Kubernetes) and cloud cost-awareness.
  • Experience with feature stores and model-as-a-service architectures.

Culture & Benefits

  • Flexible benefits plans including health insurance and retirement programs.
  • Exclusive travel perks and discounts on flights, hotels, and rentals.
  • Extensive professional development with access to 20,000+ learning courses.
  • Inclusive global culture with internal community groups and initiatives.

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