Full‑stack Machine Learning Engineer

RELX

4+ years software engineering experience
Strong python and java skills
React and typescript experience
The role involves building and deploying ML-powered services and full-stack applications to support fraud and identity analytics

Job Summary

  • The role involves building and deploying ML-powered services and full-stack applications to support fraud and identity analytics.
  • Candidates will own DevOps and security standards while collaborating with data scientists, architects, and QA teams.
  • The company offers extensive benefits including health screening, private medical benefits, and a competitive pension scheme.

Matching Summary

The role involves building and deploying ML-powered services and full-stack applications to support fraud and identity analytics.

Skills & Requirements

Must-have

  • 4+ years software engineering experience
  • Strong Python and Java skills
  • React and TypeScript experience
  • Snowflake or similar data platform
  • ML model serving and feature engineering
  • DevOps and secure engineering knowledge

Nice-to-have

  • LLMs, embeddings, vector databases
  • Behavioral, graph, anomaly detection models
  • dbt, Snowpark, Snowflake ML experience
  • AI-assisted development tools usage

Key Requirements

  • 4+ years of software engineering experience
  • Proficiency in Python and Java
  • Experience with React and TypeScript
  • Knowledge of Snowflake data platforms
  • Familiarity with ML model serving workflows

Work Rights

Not specified

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