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Machine Learning Engineer (Marketing)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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 II (Marketing Testing): Enhancing the production experimentation platform and building flexible measurement tools for data-informed marketing decisions, with an accent on large-scale testing and reliable operation. Focus on translating prototypes into production-ready solutions, creating reusable code libraries, and collaborating with data scientists and software engineers.

Location: London, United Kingdom

Company

hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech and creating groundbreaking solutions for partners.

What you will do

  • Support software engineering teams to maintain platform performance and troubleshoot issues.
  • Optimize core testing code, including stratified sampling, simulation, and regression frameworks.
  • Build scalable data pipelines for experiment execution and analysis.
  • Create reusable code libraries and transform research prototypes into production-ready solutions.
  • Collaborate with data scientists and software engineers to translate requirements and coordinate deployment of tools.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proficient in Python, SQL, and PySpark for large-scale data processing.
  • Experience building scalable systems, preferably with ML/AI components in production environments.
  • Experience with automated testing and deployment practices, including version control and unit testing.
  • Understanding of system internals, including memory management and distributed computing.
  • Experience turning prototypes into production code and building flexible, reusable code frameworks.
  • Foundational knowledge in machine learning principles and statistical methods.

Nice to have

  • Familiarity with cloud platforms (AWS, GCP).
  • Familiarity with open-source development practices and creating modular, adaptable tools.
  • Knowledge of A/B testing methodologies and experimental design principles.

Culture & Benefits

  • Full benefits package, including travel perks, generous time off, and parental leave.
  • Flexible work model with cool offices.
  • Career development resources to fuel your passion for travel.
  • Named as a Best Place to Work on Glassdoor in 2024.
  • Recognized for award-winning culture by organizations like Forbes and TIME.
  • Committed to creating an inclusive work environment with a diverse workforce.

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