Senior Machine Learning Engineer: Search Quality

Constructor
United Kingdom
Workplace: RemoteFull timeUSD 80,000 - 120,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Collaboration"]

Improve e-commerce search quality at global scale by building systems that evaluate and raise relevance. Fine-tune LLMs for query-intent judgment, production quality pipelines for reranking and signal computation, and automated monitoring to catch degradations. Work across multiple languages and domains, optimize low-latency inference, and validate impact with A/B tests while collaborating with ranking, product, and data engineering teams.

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FursaFursa
Constructor
Constructor
2 months ago

Senior Machine Learning Engineer: Search Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Improve e-commerce search quality at global scale by building systems that evaluate and raise relevance. Fine-tune LLMs for query-intent judgment, production quality pipelines for reranking and signal computation, and automated monitoring to catch degradations. Work across multiple languages and domains, optimize low-latency inference, and validate impact with A/B tests while collaborating with ranking, product, and data engineering teams.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Fine-tune LLMs to evaluate relevance by understanding query intent and item representations from messy catalog data.
  • •Build real-time quality systems in production (reranking, filtering, and signal computation) with strict latency requirements.
  • •Create automated quality monitoring pipelines to detect degradations and identify underperforming patterns.
  • •Develop agentic insights that generate actionable recommendations for product data and search configurations.
  • •Optimize and scale LLM inference across a multi-language, multi-domain customer base and validate impact with A/B tests.

Pay and Benefits

Salary: USD 80,000 - 120,000 annually
Perks:Remote WorkPaid LeaveLearning BudgetEquityParental Leave

Key Requirements

  • •4+ years shipping production machine learning systems
  • •Experience with search, information retrieval, or recommendation systems
  • •Hands-on fine-tuning, evaluation frameworks, and scaling LLM deployments
  • •Strong Python and PyTorch; fluency in SQL and data orchestration tools (Spark, Airflow)
  • •Experience designing and running A/B tests to validate model impact
Experience:4+ yearsE-commerceInformation retrievalRecommendation systemsLLMsProduction ML
Skills:CommunicationCollaboration
Languages:English
Tech Stack:PythonPyTorchSQLSparkAirflowLLMsA/B testingInformation retrievalRerankingFiltering

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn