Senior ML Engineer (Agentic Search)
Hybrid (Amsterdam; London; remote - Europe; Zurich)full-timePosted 4d ago
About the role
Senior ML Engineer to build an agent-native search platform for AI systems, focusing on retrieval, ranking, and indexing at scale. Production system used 24x7 with high-impact, large-scale web-search-like challenges.
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 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
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
Skills
Required:Retrieval, ranking, or similar ML problemsML model design and deploymentEmbedding-based indexingEvaluation framework designPython, Go, or C++
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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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