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6 часов назад

Machine Learning Engineer III

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer III (AI Engineering): Design and implement scalable machine learning systems for advertising optimization and personalization at global scale with an accent on large-scale ML pipelines, distributed computing, and real-time data processing. Focus on building and optimizing ML models, integrating them into production, and mentoring junior engineers.

Location: United Kingdom, London

Company

hirify.global powers global travel with innovative technology and a diverse, inclusive culture focused on career development and travel perks.

What you will do

  • Design, implement, and maintain large-scale ML pipelines for advertising use cases including feature engineering, model training, validation, and deployment.
  • Build real-time and batch data processing systems to support ad targeting and campaign optimization.
  • Collaborate with ML scientists and software engineers to integrate ML models into production systems.
  • Develop APIs and services enabling ML-driven advertising solutions across Expedia’s global platform.
  • Optimize Spark-based applications and ensure system reliability and performance.
  • Mentor junior engineers and contribute to knowledge sharing.

Requirements

  • Location: United Kingdom, London
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
  • 5+ years professional experience with Bachelor’s degree or 3+ years with Master’s degree.
  • Proven experience building and deploying ML pipelines in production.
  • Strong programming skills in Python and at least one other language (Scala or Java).
  • Expertise in Spark, distributed data processing, and ML libraries like PyTorch and TensorFlow.
  • Experience with cloud platforms (AWS, EMR, Kubernetes, Docker) and workflow tools (Airflow).
  • Strong software design and debugging skills.

Nice to have

  • Experience with real-time applications and streaming architectures.
  • Knowledge of advertising technology, e-commerce, or travel industry.
  • Hands-on experience with large-scale model training and GPU acceleration.

Culture & Benefits

  • Full benefits package including travel perks, generous time-off, and parental leave.
  • Flexible work model with modern offices.
  • Career development resources and inclusive culture.
  • Recognized as a Best Place to Work and award-winning culture.

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