NebiusHiring

Senior ML Engineer (Agentic Search)

  • Remote, United Kingdom
  • Senior
  • 4 days ago
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In one line

Build machine learning for an agent-native search platform that gives AI systems fresh web access, on a production system running around the clock.

About the role

The team works on retrieval, ranking and indexing at web-search scale, with latency, quality and cost weighed against each other. Product impact and fast iteration matter more than polish for its own sake.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United Kingdom
Seniority
Senior
Skills
Python, Go, Machine learning, Deep learning, Embeddings, Transformers
Posted
16 Oct 2026
Last checked
18 Oct 2026

What you will do

  • Design, train and ship models for retrieval, reranking and search relevance
  • Build embedding based indexing and large-scale retrieval systems
  • Analyse trade-offs between latency, quality and cost
  • Work with engineering teams to put models into production services

What they look for

  • Five or more years in software engineering or applied machine learning
  • Strong coding in Python, Go or C++
  • Hands-on experience with retrieval, ranking or recommendation problems
  • Track record deploying ML models in production
  • Comfortable with large-scale data systems and high-throughput workloads

Nice to have

  • Familiarity with embeddings, transformers and modern NLP
  • Work on LLM-powered or agent-based systems

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • International environment with talented teams

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Questions about this job

Can I do this job remotely, and from which countries?

The posting lists it as remote for people in the United Kingdom.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: five or more years in software engineering or applied machine learning; strong coding in Python, Go or C++; hands-on experience with retrieval, ranking or recommendation problems. Skills it names include Python, Go, Machine learning, Deep learning.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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