Senior UI Software Engineer II

Company: RELX Group
Apply for the Senior UI Software Engineer II
Location: City of Westminster
Job Description:

Are you passionate about building high-performance, data-driven user interfaces that surface complex insights clearly and securely? Do you enjoy working closely with engineers and data teams to turn advanced analytics and AI into intuitive products customers rely on every day? In this role at BusinessLexisNexis Risk Solutions, you will design and deliver production‑grade portals and dashboards that enable customers to interact with large‑scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict performance, availability, and compliance expectations.

Responsibilities

  • Architect and build production‑grade portal and dashboard interfaces in React and TypeScript
  • Develop and maintain data‑facing views using Dash, Domo, and Snowflake‑backed pipelines
  • Deliver UI features that operate reliably at high data volumes with strict latency and availability SLAs
  • Integrate front‑end applications with backend inference APIs, behavioural signals, and analytics services
  • Implement secure UI patterns, role‑based access controls, and compliance‑aware data presentation
  • Collaborate with ML engineers to surface model insights and AI capabilities through well‑designed interfaces
  • Own DevOps responsibilities for front‑end services, including build pipelines, deployment, monitoring, and incident response
  • Contribute to component libraries, design standards, and developer experience tooling

Qualifications

  • Strong production‑grade React and TypeScript skills, with experience delivering at scale
  • Hands‑on experience with at least two of Dash, Domo, Snowflake UI tooling, or comparable data visualisation platforms
  • Experience building dashboards or data‑intensive tools in high‑throughput, SLA‑bound environments
  • Ability to work with backend services in Python or Java to debug and extend the full data path
  • Familiarity with data visualisation libraries such as D3, Plotly, ECharts, or similar
  • Proven ability to take initiative and drive work independently
  • Working knowledge of DevOps and security‑aware engineering practices, including CI/CD and deployment patterns
  • Broad full‑stack curiosity and willingness to work outside a primary discipline when needed

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Posted: May 31st, 2026