Machine Learning Engineer Lead

RELX

Shanghai, China
Python-based ai services architecture
Production-grade python code
Fastapi or flask api services
We are seeking a Machine Learning Engineer Lead to drive the design, development, deployment, and scaling of machine learning and AI solutions across LexisNexis products and platforms

Job Summary

  • We are seeking a Machine Learning Engineer Lead to drive the design, development, deployment, and scaling of machine learning and AI solutions across LexisNexis products and platforms.
  • This role combines technical leadership, architectural ownership, and hands-on development to deliver production-grade ML systems that power legal research, risk analytics, fraud detection, compliance intelligence, and enterprise AI solutions.
  • We promote a healthy work/life balance across the organisation and offer numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals.

Matching Summary

We are seeking a Machine Learning Engineer Lead to drive the design, development, deployment, and scaling of machine learning and AI solutions across LexisNexis products and platforms.

Skills & Requirements

Must-have

  • Python-based AI services architecture
  • production-grade Python code
  • FastAPI or Flask API services
  • PyTorch, TensorFlow, Scikit-learn
  • cloud platforms (AWS, Azure, GCP)
  • CI/CD pipelines and DevOps
  • Docker and Kubernetes

Nice-to-have

  • collaboration with technical teams
  • mentoring ML engineers
  • healthy work/life balance
  • AI strategy alignment

Key Requirements

  • 8+ years software engineering experience
  • 3+ years advanced Python development
  • Bachelor's or Master's degree
  • Experience deploying AI models in production
  • Strong understanding of distributed systems

Work Rights

Not specified

Tailored Resume

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