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Full‑Stack Machine Learning Engineer
RELX
London, GBR
Onsite
Discovered 4 weeks ago
Machine learning engineeringFull-stack application developmentPythonJavaML inference APIs and microservicesData and feature pipelines
Free
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Machine learning engineeringFull-stack application developmentPython
Role Overview
Build and deploy ML-powered services, tools, and full-stack applications supporting fraud and identity analytics.
Work across backend services, model-serving pipelines, and user interfaces.
Key Skills for This Role
Machine learning engineeringFull-stack application developmentPythonJavaML inference APIs and microservicesData and feature pipelines
Full Job Posting
About the Business
LexisNexis Risk Solutions provides decision tools that combine public and industry-specific content with advanced technology and analytics.
Its solutions help customers evaluate and predict risk, improve operational efficiency, and make better decisions.
About the Role
Build and deploy ML-powered services, tools, and full-stack applications supporting fraud and identity analytics.
Work across backend services, model-serving pipelines, and user interfaces.
Key Responsibilities
- Develop ML inference APIs, microservices, and data or feature pipelines.
- Build full-stack tools for model evaluation and transparency.
- Integrate ML models into real-time production systems.
- Implement automated training, monitoring, and evaluation workflows.
- Use and contribute to AI-assisted development tools.
- Own DevOps and security standards for assigned services.
- Collaborate with data scientists, architects, and QA.
Required Experience
- At least 4 years of software engineering experience in backend, full-stack, or ML work.
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