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8 дней назад

Nebius London Talent Pool (AI & Infrastructure Engineering)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Текст:
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TL;DR
Nebius London Talent Pool (AI & Infrastructure Engineering): Exploring future engineering opportunities across AI, cloud infrastructure, and high-performance computing with an accent on machine learning, LLM training, inference optimisation, and distributed systems. Focus on building GPU infrastructure, production AI systems, model-serving platforms, and reliable high-performance cloud services.

Location: London, United Kingdom

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.

What you will do

  • Explore future engineering opportunities across AI, cloud infrastructure, and high-performance computing.
  • Work on machine learning and AI research, including LLM pre-training, post-training, and reinforcement learning.
  • Build inference optimisation and model-serving systems.
  • Develop GPU, distributed computing, backend, systems, and platform infrastructure.
  • Build reliable, high-performance cloud infrastructure and production AI systems, including agentic systems.

Requirements

  • Applicants must be authorised to work in the country in which they apply.
  • Experience in one or more areas including machine learning, AI research, LLMs, inference, GPU infrastructure, backend engineering, systems engineering, platform engineering, or cloud infrastructure.
  • Relevant experience with PyTorch, vLLM, open-source AI systems, distributed computing, reliability, or performance engineering is applicable.

Culture & Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility, ownership, and a collaborative working environment.
  • Opportunity to work on impactful AI projects with an international team.
  • Fast-moving environment focused on meaningful impact and shaping the future of AI.

Hiring process

  • Register interest and share experience and desired opportunity areas.
  • The Talent Acquisition team reviews profiles and contacts candidates about relevant current or future roles.
  • This talent pool is an expression of interest, not an application for a specific vacancy, and does not guarantee contact or an interview.

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