Senior ML Engineer for Agentic Search Platform

Nebius; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative culture

International environment

Job summary

Nebius is hiring a Senior Applied ML Engineer to build an agent-native search platform powering AI systems. You will design and deploy models for retrieval, ranking, and indexing at scale, tackling real-time information access challenges in a fast-growing, 24x7 production environment.

The role focuses on embedding-based indexing, large-scale retrieval, and collaboration with engineering teams to deploy production ML services. Expect a dynamic, international team and impactful AI projects.

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, recommendation, or similar ML problems.
• Strong understanding of machine learning and modern deep learning techniques.
• Experience working with large-scale data systems and high-throughput environments.
• Ability to design evaluation frameworks and define meaningful model metrics.
• Product-oriented mindset with a focus on impact and iteration.
• Strong problem-solving skills and ability to work in a distributed team.

Responsibilities

• Design, train, and deploy ML models for retrieval, re-ranking, 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 build evaluation pipelines.
• Work on systems operating at very large scale, including high-throughput query workloads.
• Collaborate closely with engineering teams to integrate ML models into production services.
• Analyse performance trade-offs across latency, quality, and cost.
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems.
• Contribute to product and architectural decisions in a fast-moving environment.

Skills

Python

Go

C++

ML in production

Retrieval/Ranking

Distributed systems

Problem solving

Job description

Nebius is hiring a Senior Applied ML Engineer to build an agent-native search platform powering AI systems. You will design and deploy models for retrieval, ranking, and indexing at scale, tackling real-time information access challenges in a fast-growing, 24x7 production environment.

The role focuses on embedding-based indexing, large-scale retrieval, and collaboration with engineering teams to deploy production ML services. Expect a dynamic, international team and impactful AI projects.