Senior ML Engineer – Agentic Search

Job not on LinkedIn

🔥 3 minutes ago

🌐 Netherlands, United Kingdom, +1 more countries – Remote

🇳🇱 Netherlands – Remote 🇬🇧 United Kingdom – Remote 🇨🇭 Switzerland – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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 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

🎯 Requirements

• 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 • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Experience with search systems or large-scale information retrieval (nice-to-have) • Familiarity with embeddings, transformers, and modern NLP systems (nice-to-have) • Experience working on LLM-powered or agent-based systems (nice-to-have) • Contributions to open-source projects, technical publications, or conference talks (nice-to-have) • Participation in competitive ML, such as Kaggle, or similar signals of strong technical ability (nice-to-have)

🏖️ Benefits

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