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1 день назад

Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Machine Learning Engineer (AI): Developing and deploying production-grade machine learning models to personalize recommendations with an accent on deep learning and scalable system architecture. Focus on end-to-end model ownership, from data exploration and feature engineering to production monitoring and responsible AI implementation.

Location: Must be based in London, UK (Hybrid)

Company

A global social networking platform dedicated to building healthy and equitable relationships through intelligent, personalized technology.

What you will do

  • Explore, develop, and deliver cutting-edge technology using deep learning to personalize user recommendations.
  • Own defined ML problems end-to-end, from data exploration and feature engineering to production deployment.
  • Apply modern frameworks like PyTorch or TensorFlow to design, train, and optimize production models.
  • Contribute to experimentation frameworks, including A/B testing and offline evaluation.
  • Maintain and monitor production models to ensure reliability and performance at scale.
  • Apply responsible AI practices, ensuring fairness, transparency, and safety in all model development.

Requirements

  • Must be based in or able to work from London, UK.
  • Around 3 years of hands-on experience building and shipping machine learning models in production.
  • Strong programming skills in Python and solid proficiency with PyTorch or TensorFlow.
  • Industry experience in researching or applying machine learning, particularly in recommender systems or ranking.
  • Good understanding of MLOps, CI/CD for ML, feature stores, and model serving.
  • Familiarity with containerization and cloud-native environments like Docker, Kubernetes, and GCP.

Nice to have

  • Practical experience with recommendation systems, search, or personalization.
  • Expertise in modern architectures such as transformers, graph neural networks, or contrastive learning.

Culture & Benefits

  • Private medical and dental insurance.
  • Enhanced parental leave and competitive maternity package.
  • Unlimited PTO policy.
  • Double-matched pension contributions up to 6%.
  • Mental health support and subsidized gym membership.

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