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Senior AI Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer (Knowledge Graphs/NLP): Building and optimizing AI-powered systems for global debt markets with an accent on knowledge graph design, entity resolution, and relationship extraction. Focus on creating persistent knowledge systems, implementing graph-native retrieval, and scaling production AI infrastructure.

Location: Hybrid (London, UK)

Company

hirify.global is an AI platform centralizing proprietary credit data and high-value workflows for global debt markets.

What you will do

  • Design and build generative AI applications tailored to complex financial and legal workflows.
  • Drive the end-to-end model development lifecycle, ensuring reproducible research and efficient deployment.
  • Develop and maintain a knowledge graph representing companies, sponsors, lenders, and financial instruments.
  • Build graph-native retrieval and exploration capabilities to surface ownership structures and transaction histories.
  • Implement graph machine learning techniques for similarity, peer, and precedent discovery.
  • Collaborate cross-functionally to translate business problems into technical AI solutions.

Requirements

  • Expertise in knowledge graph design and ontology modelling for complex domains.
  • Strong experience with entity resolution, record linkage, and disambiguation across noisy datasets.
  • Proven ability to extract structured entities and relationships from unstructured financial and legal documents.
  • Strong proficiency in Python for production-ready delivery.
  • Experience with the full model lifecycle, including experimentation, training, monitoring, and deployment.
  • Knowledge of AWS AI infrastructure.

Culture & Benefits

  • Competitive salary and equity.
  • Private Medical Insurance and a comprehensive pension scheme.
  • Hybrid working model with flexibility on how and where you work.
  • Possibility to work abroad for up to 3 months per year.
  • Professional learning and development budget, plus a dedicated AI experimentation budget.
  • 25 holiday days per year and a paid sabbatical after 5 years of service.

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