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Xapien

AI-driven due diligence platform for risk

Graduate Applied Research Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UK£30k - £40k /yrHybrid

About the Job

Requirements

  • Candidates must be able to work autonomously, operate without micro-management, adapt flexibly, and take initiative in solving problems.
  • Apply a rigorous and scientific approach to problem solving.
  • Demonstrate a track record of learning and mastering complex topics.
  • Demonstrate keen attention to detail.
  • Have strong verbal and written communication skills.
  • Have demonstrable experience working with Python and good Python knowledge.
  • Have a good understanding of statistics.
  • Have a strong understanding of algorithm optimisation.
  • Have a strong foundation in command-line tooling and knowledge of Unix.

Responsibilities

  • Design, build, and test AI-powered experiments using leading-edge machine learning models.
  • Build and deploy AI-powered microservices following standard design patterns.
  • Implement infrastructure as code using tools such as Terraform or CloudFormation to automate deployment and scaling processes.
  • Statistically evaluate candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency.
  • Collaborate with the wider engineering team.
  • Continuously learn and improve.

About the Company

Xapien

AI-driven due diligence platform for risk

Xapien provides an AI-native due diligence platform that scans open web data, corporate records, sanctions lists, and multilingual media to assess risk about people and entities. It resolves similarly named individuals and organizations, combines findings from multiple sources, and returns sourced, auditable risk reports for compliance, legal, and procurement teams within minutes. The system ingests multilingual data, uses AI to surface risk signals, links related records, and can enable continuous Xapien Live risk surveillance for ongoing monitoring. Its goal is to help large organizations stay compliant by delivering fast, traceable risk assessments and scalable risk-reporting workflows, while expanding its U.S. presence and surveillance capabilities.

Company size
51-200
Company stage
Series B
Total funding
$72.5M
Headquarters
London, United Kingdom
Founded
2018

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