Nebius London Talent Pool

Nebius
London, United Kingdom

Who this role is best for

A natural match if you have experience in AI infrastructure or cloud engineering and are based in London.

Best fit for

  • Engineers with expertise in AI/ML infrastructure and distributed systems who are based in London
    — “engineers and technical specialists who are excited by complex challenges across AI, cloud and high-performance computing”
  • Individuals with a background in large-scale GPU orchestration and inference optimization
    — “large-scale GPU orchestration to inference optimization”
  • Candidates interested in shaping the future of AI and working on impactful projects
    — “Opportunity to shape the future of AI”

Things to consider

  • No immediate guarantee of interview or job offer despite showing interest
    — “Registering does not guarantee that you will be contacted or invited to interview”
  • This is an expression of interest, not a direct application for a specific role
    — “This is an expression of interest rather than an application for a specific vacancy”

How to stand out

  • Highlight your experience with AI infrastructure and open-source AI systems like PyTorch
    — “PyTorch, vLLM and open-source AI systems”
  • Demonstrate your ability to work on complex challenges in cloud and high-performance computing
    — “excited by complex challenges across AI, cloud and high-performance computing”
  • Emphasize your background in GPU and distributed computing infrastructure
    — “GPU and distributed computing infrastructure”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building the infrastructure and services needed to develop, train and run the next generation of AI applications
Typical background
deep expertise across hardware, software and AI R&D

Skills & requirements

Required

AI And Infrastructure EngineeringGPU And Distributed Computing InfrastructureBackend, Systems And Platform Engineering

Preferred

LLM Pre-training, Post-training And Reinforcement LearningAgentic Systems And Production AI

Stack & domain

Machine LearningAI ResearchLLM Pre-trainingPost-trainingReinforcement LearningInference OptimisationModel ServingGPU And Distributed Computing InfrastructurePyTorchVllmOpen-source AI SystemsBackendSystems And Platform EngineeringCloud InfrastructureReliability And PerformanceAgentic SystemsProduction AIAICloudHigh-performance Computing

About the role

Original posting from Nebius

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Talent Pool: AI & Infrastructure Engineering — London

Attending the Nebius AI Series in London and interested in future opportunities with us? Register your interest here.

Nebius is building the infrastructure and services needed to develop, train and run the next generation of AI applications. We’re always keen to meet engineers and technical specialists who are excited by complex challenges across AI, cloud and high-performance computing.

This talent pool is for attendees of the Nebius AI Series who would like to hear about relevant career opportunities following the event.

We’d particularly like to hear from people working in:

Machine learning and AI research

LLM pre-training, post-training and reinforcement learning

Inference optimisation and model serving

GPU and distributed computing infrastructure

PyTorch, vLLM and open-source AI systems

Backend, systems and platform engineering

Cloud infrastructure, reliability and performance

Agentic systems and production AI

What happens next?

Register your interest and share a little about your experience and the types of opportunities you would like to explore. After the event, our Talent Acquisition team will review your profile and contact you if there are current or upcoming roles that may be relevant.

Even if there isn’t an immediate match, we may keep in touch about future opportunities, technical events and other ways to engage with the Nebius engineering community.

Register your interest

If you’re interested in exploring what you could build at Nebius, submit your details and CV through this talent pool.

Please note: This is an expression of interest rather than an application for a specific vacancy. Registering does not guarantee that you will be contacted or invited to interview. You can also view and apply for current vacancies directly on the Nebius careers site.

We look forward to meeting you at the event!

Benefits & Perks:

Competitive compensation

Career growth and learning opportunities

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI projects

International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

Source: Nebius careers

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