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9 часов назад

Machine Learning Scientist

Формат работы
onsite
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 Scientist (AI Engineering): Develop and optimize ranking models using state-of-the-art machine learning techniques to improve travel content relevance. Focus on building and deploying ML models, working with large datasets, and integrating solutions into production systems.

Location: London, United Kingdom

Company

hirify.global powers global travel with innovative technology and a diverse, inclusive culture focused on employee growth and travel experiences.

What you will do

  • Collaborate with product management to identify ML opportunities and scope solutions.
  • Conduct exploratory data analysis and build effective machine learning models.
  • Partner with engineering teams to deploy solutions into production.
  • Develop deep understanding of data and ML infrastructure.
  • Document technical work and present results to stakeholders and leadership.
  • Stay current with advances in ML and GenAI to drive innovation.

Requirements

  • Location: Based in or able to work from London, United Kingdom
  • Master’s or Ph.D. in relevant technical field or equivalent experience.
  • 2+ years hands-on ML production experience with Python, TensorFlow or PyTorch, and SQL.
  • Strong foundation in ML fundamentals, statistics, and experimentation.
  • Experience with large datasets and distributed computing environments like Spark.
  • Good programming practices and intellectual curiosity.

Nice to have

  • Experience with ranking systems and Large Language Models (LLMs).
  • Familiarity with ML platforms like Databricks, AWS, and Docker.
  • Experience with workflow orchestration tools such as Airflow or Flyte.

Culture & Benefits

  • Full benefits package including travel perks and generous time off.
  • Parental leave and flexible work model with modern offices.
  • Career development resources and inclusive, diverse culture.

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