Machine Learning Engineer — Fraud & Identity Analytics

LexisNexis Risk Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions in London seeks a software engineer to design, build, test, and operate scalable backend services using Python and Java. You will work with data scientists, engineers, architects, and product managers to deliver secure, reliable analytics products with measurable customer value.

You will help bring machine learning and analytical capabilities into production, build internal and customer‑facing tools, and contribute to performance, security, and maintainability across

Qualifications

• Strong programming skills in Python and Java with object‑oriented design.
• Experience designing APIs, backend services, or data‑heavy apps.
• Familiarity with CI/CD, testing, and production support.
• Knowledge of ML model integration into production systems.

Responsibilities

• Design, build, test, and maintain production backend services and APIs.
• Integrate ML models and analytics into real-time and batch workflows.
• Develop reusable components for feature calculation and model output interpretation.
• Ensure security, reliability, and observability across the software lifecycle.

Job description

LexisNexis Risk Solutions in London seeks a software engineer to design, build, test, and operate scalable backend services using Python and Java. You will work with data scientists, engineers, architects, and product managers to deliver secure, reliable analytics products with measurable customer value.

You will help bring machine learning and analytical capabilities into production, build internal and customer‑facing tools, and contribute to performance, security, and maintainability across