Company: RELX Group
Location: London
Job Description:
Overview
In this role you will build and deploy ML-powered services and full-stack tools to support fraud and identity analytics. You will work across backend services, model-serving pipelines, and user interfaces to enable real-time production systems. You’ll implement automated training, monitoring, and evaluation workflows and contribute to AI-assisted development tools. You will own DevOps and security standards while collaborating with data scientists, architects, and QA to drive impactful risk solutions.
Pay / Benefits
- generous holiday allowance
- private medical benefits
- wellbeing programs
- pension scheme
- share option scheme
- travel season ticket loan
Responsibilities
- Develop ML inference APIs, microservices, and data/feature pipelines
- Build full-stack tools to support 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
Key requirements
- 4+ years software engineering (backend, full-stack, or ML)
- Strong Python and Java
- React + TypeScript experience
- Snowflake or similar data-platform experience
- Familiarity with ML model serving and feature engineering
- Strong ownership and independent execution
- Working knowledge of DevOps and secure engineering
- collaboration with cross-functional teams
- self-motivated and proactive
- problem-solving and analytical thinking
- Python
- Java
- React
…
Posted: September 16th, 2026