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1 день назад

Data Infrastructure Engineering (AI)

93 500 - 161 800GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Infrastructure Engineering (AI) (Data Pipelines/Distributed Systems): Building and scaling data pipelines and infrastructure for petabyte-scale multimodal AI model training and evaluation with an accent on data quality, distributed computing, and large-scale platform operation. Focus on developing critical systems with Spark, Ray, and vector databases, and partnering with model training teams to improve experimentation and model performance.

Location: London, United Kingdom or Zurich, Switzerland. Starting January 26, 2026, employees living within 50 miles of a designated U.S. Microsoft office or 25 miles of a non-U.S. office are expected to work from that office at least four days per week, subject to local law and jurisdiction.

Salary: £93,500–£161,800 per year across the United Kingdom.

Company

Microsoft AI develops advanced AI models and the data infrastructure required to train and deploy them.

What you will do

  • Build and scale data pipelines for training and evaluating multimodal AI models across text, image, audio, and video.
  • Develop and operate data infrastructure and platforms for processing and managing petabyte-scale datasets.
  • Own critical data systems and distributed computing frameworks supporting model development and research.
  • Partner with model training teams to improve data quality, curation, experimentation, and model performance.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
  • 6+ years of experience in software engineering, data engineering, data science, or analytics.
  • Strong expertise, attention to detail, proactive problem-solving, and the ability to manage multiple priorities.
  • Ability to work collaboratively in a fast-paced environment and adapt to shifting priorities.

Nice to have

  • Experience building large-scale data platforms or analytics systems.
  • Experience with AI/ML data, infrastructure, or distributed systems.

Culture & Benefits

  • Collaborative environment focused on respect, integrity, accountability, inclusion, and a growth mindset.
  • Potential eligibility for benefits and additional compensation.
  • Office-based collaboration expected at least four days per week for employees living near a designated office, subject to local requirements.

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