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RELX

Global information analytics and decision tools

Senior Machine Learning Engineer 3

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listedIn-person

About the Job

Requirements

  • Hands-on experience with Retrieval-Augmented Generation applications, including document ingestion, chunking, embedding generation, retrieval, reranking, and source-grounded responses.
  • Strong understanding of Generative AI and large language model capabilities, limitations, hallucination mitigation, and response-quality evaluation.
  • Experience designing and operating vector search solutions using Qdrant, Pinecone, pgvector, LanceDB, OpenSearch vector search, or equivalent technologies.
  • Ability to validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets.

Responsibilities

  • Design, build, and optimize Retrieval-Augmented Generation applications.
  • Develop and manage document ingestion, chunking, embedding generation, retrieval, reranking, and source-grounded response workflows.
  • Design and operate vector search solutions using modern vector database technologies.
  • Validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets.
  • Collaborate with cross-functional teams to improve response quality and reduce hallucinations.
  • Implement hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking techniques.
  • Monitor and evaluate retrieval performance, latency, cost, and AI system quality.
  • Support the development of scalable and responsible Generative AI solutions across legal and professional information products.

Desired Qualifications

  • Experience building AI agents or multi-step workflows with tool use, memory, and human review.
  • Familiarity with agentic and large language model frameworks such as Google ADK, LangChain, LiteLLM, or MCP.
  • Experience with hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking.
  • Experience applying Retrieval-Augmented Generation or Generative AI to legal, financial, publishing, or other highly regulated content domains.
  • Knowledge of large language model observability, including monitoring latency, cost, retrieval performance, and unsafe or unsupported outputs.

About the Company

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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