Senior UI Software Engineer

LexisNexis Risk Solutions Group; Greater London; On-site; GBP 56,000 - 96,000; Full time

Benefits offered by this job

Private medical benefits

Contributory pension scheme

Travel season ticket loan

Employee discounts via Perks at Work

Job summary

LexisNexis Risk Solutions in London (UK) seeks an experienced software engineer to architect and build data-rich dashboards and portal interfaces using React and TypeScript. You will develop Dash/Domo views and Snowflake-backed pipelines, delivering high-volume UI features with strict SLAs.

The role requires 5+ years in software engineering, strong React, and back-end collaboration in Python or Java. You'll work on secure UI patterns, RBAC, and collaborate with ML engineers to expose model

Qualifications

• BS in Engineering, Computer Science, or equivalent experience required
• 5+ years of software engineering experience
• Strong production-grade React experience delivering at scale
• Hands-on experience with Dash or Domo and Snowflake UI tooling
• Experience building dashboards or data-intensive tools in high-throughput environments
• Ability to work with Python or Java backends to debug and extend data paths
• Familiarity with data visualisation libraries such as D3, Plotly, or ECharts
• Proven initiative and ability to work independently
• Working knowledge of DevOps and security-aware engineering practices (CI/CD, deployment patterns)
• Broad full-stack curiosity and willingness to work outside primary discipline
• Preferred: Snowflake, Snowpark, or Snowflake-native frameworks
• Preferred: interest in LLMs and modern AI patterns
• Preferred: prior work in fraud, identity, risk analytics, or data-dense environments

Responsibilities

• Architect and build production-grade portal and dashboard interfaces in React and TypeScript
• Develop and maintain data-facing views using Dash or Domo and Snowflake-backed pipelines
• Deliver UI features that operate reliably at high data volumes with strict latency and SLA
• Integrate front-end apps with backend inference APIs, signals, and analytics services
• Implement secure UI patterns, RBAC, and compliant data presentation
• Collaborate with ML engineers to surface model insights via interfaces
• Own DevOps responsibilities for front-end services (build, deploy, monitor, incident response)
• Contribute to component libraries, design standards, and developer tooling

Skills

React

TypeScript

Python

Java

DevOps awareness

Education

BS in Engineering or Computer Science

Tools

Dash

Domo

Snowflake UI tooling

Snowflake

CI/CD

Job description

Salary: £56,000 - 96,000 per year

Requirements

• 5+ years of software engineering experience
• BS in Engineering, Computer Science, or equivalent experience required
• Strong production-grade React 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
• Preferred: experience with Snowflake, Snowpark, or Snowflake-native application frameworks
• Preferred: interest in LLMs, vector search, and modern AI application patterns
• Preferred: prior work in fraud, identity, risk analytics, or similarly data-dense production environments

Responsibilities

• Architect and build production-grade portal and dashboard interfaces in React and TypeScript
• Develop and maintain data-facing views using Dash or 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

Technologies

• AI
• Architect
• Backend
• CI/CD
• D3
• DevOps
• Support
• Java
• Python
• React
• Security
• Snowflake
• TypeScript
• UX UI Design
• Machine Learning

More

We are LexisNexis Risk Solutions, the essential partner in the assessment of risk. Within our Business Services vertical, we provide solutions that help businesses of all sizes drive revenue growth, maximize operational efficiencies, and improve customer experience across anti-money laundering and counter terrorist financing, identity authentication and verification, fraud and credit risk mitigation, and customer data management. This is a full-time role based in UK - London (London Wall). We offer a range of benefits to support wellbeing and life outside work, including generous holiday allowance, the option to buy additional days, health screening, eye care vouchers, private medical benefits, wellbeing programs, life assurance, a contributory pension scheme, a Save As You Earn share option scheme, travel season ticket loan, an electric vehicle scheme, optional dental insurance, maternity, paternity and shared parental leave, an employee assistance programme, emergency care access, RECARES days, employee resource groups, learning and development resources, and employee discounts via Perks at Work. We are committed to a fair and accessible hiring process and provide country-specific benefits, disability accommodation support, and equal opportunity hiring.