Production ML Engineer - Fraud & Identity Analytics

RELX; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

LexisNexis Risk Solutions, part of RELX, seeks an engineer to design, build, and operate backend services for fraud and identity analytics. You will collaborate with data scientists, engineers, and product teams to productionize ML and analytics capabilities into reliable software products.

You will translate prototypes into robust product features, contribute to real-time and batch workflows, and ensure secure, scalable delivery across the software lifecycle.

Qualifications

• Production-grade software engineering experience with a strong track record.
• Strong Python and Java skills, with solid OO design.
• Experience designing APIs, backend services, and distributed systems.
• Solid testing, version control, CI/CD, and secure development practices.
• Experience integrating machine learning models into software products.
• Ability to work with data stores such as Snowflake or relational DBs.
• Understanding ML concepts, feature engineering, and model evaluation.
• Strong ownership, problem solving, and cross-disciplinary collaboration.

Responsibilities

• Design, build, test, and maintain production-grade backend services and APIs.
• Integrate machine learning models and analytics into real-time and batch workflows.
• Develop reusable components for feature calculation, inference, and decision support.
• Build tools to explore, evaluate, and interpret analytical outcomes.
• Apply sound software engineering practices: modular design, reviews, testing, and docs.
• Improve performance, reliability, security, observability, and maintainability.
• Collaborate with data scientists to translate prototypes into production capabilities.
• Participate in deployment, incident analysis, and remediation of services.

Skills

Python

Java

API design

Backend services

Distributed systems

CI/CD

ML integration

Data stores

Security practices

Problem solving

Tools

Snowflake

Relational databases

Job description

LexisNexis Risk Solutions, part of RELX, seeks an engineer to design, build, and operate backend services for fraud and identity analytics. You will collaborate with data scientists, engineers, and product teams to productionize ML and analytics capabilities into reliable software products.

You will translate prototypes into robust product features, contribute to real-time and batch workflows, and ensure secure, scalable delivery across the software lifecycle.