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10 дней назад

Senior Machine Learning Engineer (Personalisation)

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
Senior Machine Learning Engineer (Personalisation) (Recommendation Systems/Deep Learning): Building and operating large-scale batch and real-time machine learning systems for search, ranking, recommendation and personalised shopping experiences with an accent on production reliability, distributed training and measurable customer impact. Focus on designing scalable models, deploying GPU-based and parallelised training infrastructure, and mentoring engineers while shaping machine learning standards.

Location: London, United Kingdom

Company

hirify.global is an online fashion retailer serving customers worldwide through a technology-driven ecommerce platform.

What you will do

  • Design, build and improve machine learning systems for search, ranking, recommendations and personalisation.
  • Develop, deploy and maintain batch and real-time machine learning models in production.
  • Build scalable systems that process signals from millions of customer interactions and support personalised shopping experiences.
  • Collaborate with Applied Scientists, Machine Learning Engineers, Software Engineers and Product Managers to deliver measurable customer and commercial value.
  • Improve the codebase, engineering practices and machine learning standards across the wider community.
  • Provide technical leadership, mentoring and knowledge sharing to other engineers.

Requirements

  • Experience applying machine learning and deep learning techniques in production.
  • Experience with deep learning frameworks, distributed computing, distributed training infrastructure, GPU-based training and parallelisation.
  • Strong software engineering fundamentals, development lifecycle knowledge and MLOps experience.
  • Experience developing reliable, scalable machine learning systems for production environments.
  • Ability to provide technical leadership and collaborate across engineering, science and product teams.

Culture & Benefits

  • 25 days of annual leave plus an additional celebratory day.
  • Private medical care, pension contributions matched up to 5% and a discretionary bonus scheme.
  • Employee discount, sample sales and flexible benefits allowance.
  • Personalised learning and career development opportunities.
  • Summer hours with 3pm finishes on Fridays during June, July and August.
  • Access to a shuttlebus between Watford station and the Leavesden office.

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