Senior Applied ML Engineer - Agentic Search | Flexible

Nebius Group; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning opportunit(

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI (

Job summary

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training to production deployment. We seek a Senior Applied ML Engineer to develop and deploy ML models powering retrieval, ranking, and indexing at scale, in a fast-moving, production environment.

You will work on high-impact systems with 24x7 availability, tackle challenges comparable to large-scale web search, and collaborate with engineers to integrate models into services across the

Qualifications

• 5+ years of experience in software engineering or applied machine learning.
• Strong programming skills in Python, Go, or C++.
• Proven experience deploying ML models in production systems.
• Hands-on experience with retrieval, ranking, or similar ML problems.
• Ability to design evaluation frameworks and metrics for models.

Responsibilities

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production.
• Build and optimise embedding-based indexing and large-scale retrieval systems.
• Develop models supporting crawling, data selection, and content understanding.
• Define and improve quality metrics for agent-native search and evaluation pipelines.
• Work on systems operating at very large scale with high-throughput queries.
• Collaborate closely with engineering teams to integrate ML models into production services.

Skills

Python

Go

C++

ML deployment

Retrieval/Ranking

Job description

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training to production deployment. We seek a Senior Applied ML Engineer to develop and deploy ML models powering retrieval, ranking, and indexing at scale, in a fast-moving, production environment.

You will work on high-impact systems with 24x7 availability, tackle challenges comparable to large-scale web search, and collaborate with engineers to integrate models into services across the