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2 дня назад

Senior Machine Learning Engineer (AI)

Тип работы
fulltime
Грейд
senior
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
Senior Machine Learning Engineer (AI) (recommendation systems/deep learning): Building and operating production machine learning systems for personalised outfit recommendations and AI-powered fashion discovery with an accent on large-scale model serving, personalisation, and generative AI. Focus on deploying and optimising batch and real-time models, improving reliability and scalability, and designing shared MLOps capabilities used across multiple teams.

Location: hirify.global's HQ is in London, with an office in Leavesden; the posting does not specify a required candidate location or work format.

Company

hirify.global is an online fashion retailer building digital shopping experiences for customers worldwide.

What you will do

  • Design, build, deploy, and operate production machine learning systems for outfit discovery and personalised fashion experiences.
  • Partner with Machine Learning Scientists to deploy deep learning models and deliver customer and business outcomes.
  • Deploy and optimise batch and real-time models serving millions of customers.
  • Build recommendation, personalisation, retrieval, and AI-driven fashion discovery capabilities.
  • Improve performance, reliability, observability, and scalability across the machine learning lifecycle.
  • Contribute to architecture decisions, shared ML tooling, engineering practices, and mentoring.

Requirements

  • Experience designing, building, and deploying machine learning systems in production.
  • Strong machine learning engineering and modern software engineering practices.
  • Hands-on experience with PyTorch, TensorFlow, or similar deep learning frameworks.
  • Experience training and optimising models with large datasets and distributed compute infrastructure.
  • Experience with recommendation systems, ranking, retrieval, personalisation, or related domains.
  • Knowledge of MLOps, cloud services, model monitoring, lifecycle management, and technical mentoring.

Nice to have

  • Curiosity about emerging AI technologies and practical applications of LLMs and generative AI in customer-facing products.

Culture & Benefits

  • Employee discount, sample sales, and a discretionary bonus scheme.
  • 25 days of annual leave plus an additional celebration day.
  • Private medical care and flexible benefits allowance.
  • Matched pension contributions of up to 5%.
  • Personalised learning opportunities and summer hours with 3pm Friday finishes in June, July, and August.
  • Free shuttlebus service between Watford station and the Leavesden office.

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