Senior UI Software Engineer II

📍 Job Overview

Job Title: Senior UI Software Engineer II

Company: Renishaw

Location: London, United Kingdom

Job Type: FULL_TIME

Category: Software Engineering / Front-end Development

Date Posted: 2026-06-11

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Design, architect, and build production-grade, data-driven user interfaces for complex risk and analytics data.

• Develop and maintain scalable portals and dashboards leveraging React, TypeScript, and data visualization platforms.

• Integrate front-end applications with backend inference APIs, machine learning models, and analytics services.

• Ensure UI solutions operate reliably under high data volumes with strict performance, availability, and compliance SLAs.

• Collaborate closely with backend and ML engineers to translate advanced analytics and AI into intuitive customer-facing products.

📝 Enhancement Note: This role is positioned as a Senior UI Software Engineer II, indicating a need for significant technical leadership and experience in developing complex, scalable front-end applications. The emphasis on "production-grade," "data-driven," and "high-performance" suggests a focus on robust engineering practices rather than purely aesthetic UI design. The integration with "advanced analytics and AI" and "risk and analytics data" points towards a specialized domain within software engineering, requiring an understanding of data visualization and potentially backend data pipelines.

📈 Primary Responsibilities

• Architect and build scalable, production-grade portal and dashboard interfaces using React and TypeScript.

• Develop and maintain data-facing views, potentially utilizing tools like Dash or Domo, and integrating with Snowflake-backed data pipelines.

• Deliver UI features that ensure reliable operation at high data volumes, adhering to strict latency and availability Service Level Agreements (SLAs).

• Integrate front-end applications with backend services, including inference APIs, behavioral signals, and analytics services.

• Implement secure UI patterns, robust role-based access controls, and compliance-aware data presentation.

• Collaborate effectively with Machine Learning (ML) engineers to surface model insights and AI capabilities through intuitive interfaces.

• Own DevOps responsibilities for front-end services, encompassing build pipelines, deployment strategies, monitoring, and incident response.

• Contribute to the development and maintenance of component libraries, establish design standards, and enhance developer experience tooling.

📝 Enhancement Note: The responsibilities highlight a full-stack inclination for a UI engineer, requiring ownership beyond just front-end code. DevOps responsibilities, integration with backend services (Python/Java), and collaboration with ML teams suggest a need for a broad understanding of the software development lifecycle and data infrastructure. The mention of specific data visualization tools like Dash and Domo, alongside Snowflake, indicates a strong focus on data presentation and manipulation within the UI.

🎓 Skills & Qualifications

Education: BS in Engineering, Computer Science, or equivalent practical experience.

Experience: 5+ years of professional Software Engineering experience, with a strong emphasis on front-end development at scale.

Required Skills:

• Proven production-grade experience with React, demonstrating the ability to deliver scalable applications.

• Hands-on experience with at least two of the following: Dash, Domo, Snowflake UI tooling, or comparable data visualization platforms.

• Experience building dashboards or data-intensive tools within high-throughput, SLA-bound environments.

• Ability to work effectively with backend services developed in Python or Java, including debugging and extending the full data path.

• Familiarity with data visualization libraries such as D3.js, Plotly, ECharts, or similar.

• Demonstrated ability to take initiative, work independently, and drive projects to completion.

• Working knowledge of DevOps and security-aware engineering practices, including CI/CD pipelines and deployment patterns.

• Broad full-stack curiosity and a willingness to contribute outside of primary discipline when necessary. Preferred Skills:

• Experience with Snowflake, Snowpark, or Snowflake-native application frameworks.

• Interest in and understanding of Large Language Models (LLMs), vector search, and modern AI application patterns.

• Prior experience in fraud detection, identity verification, risk analytics, or similarly data-dense production environments.

📝 Enhancement Note: The "Preferred Skills" section offers a strong pathway for candidates to differentiate themselves. Experience with Snowflake's ecosystem (Snowpark, native apps) is a clear advantage. Exposure to cutting-edge AI technologies like LLMs and vector search, combined with domain experience in risk analytics, fraud, or identity, would make a candidate highly desirable. This suggests the company is investing in modern AI capabilities and operates within a sensitive data domain.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects demonstrating the architecture and development of production-grade, scalable React applications.

• Include examples of data-intensive dashboards or tools, highlighting experience with data visualization platforms (e.g., Dash, Domo, Snowflake UI tooling) and data pipelines.

• Present case studies that illustrate the ability to meet strict performance, latency, and availability SLAs in high-throughput environments.

• Provide evidence of integrating front-end applications with backend services (Python/Java), including API interactions and data path debugging.

• Demonstrate understanding and implementation of secure UI patterns, role-based access controls, and compliance-aware data presentation. Process Documentation:

• Candidates are expected to articulate their approach to UI architecture, emphasizing scalability and maintainability.

• Be prepared to discuss their experience with DevOps practices, CI/CD pipelines, monitoring, and incident response for front-end services.

• Detail their collaboration process with backend and ML engineering teams, focusing on efficient integration and knowledge sharing.

• Explain their methodologies for testing and ensuring the reliability and security of complex UI components.

📝 Enhancement Note: For a Senior UI Software Engineer role, a portfolio is crucial. It should not just list projects but demonstrate the impact and scalability of those projects. Evidence of working with complex data, meeting stringent SLAs, and implementing robust security measures will be key. Candidates should be ready to discuss the "why" behind their architectural decisions and their approach to problem-solving in challenging environments.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UI Software Engineers in London with 5-10 years of experience, a competitive salary range is estimated to be between £70,000 - £100,000 per annum. This estimate considers the seniority of the role, the technical demands, and the London cost of living.

Benefits:

• Generous holiday allowance with the option to buy additional days.

• Health screening, eye care vouchers, and private medical benefits.

• Comprehensive wellbeing programs.

• Life assurance.

• Access to a competitive contributory pension scheme.

• Save As You Earn (SAYE) share option scheme.

• Travel season ticket loan.

• Electric Vehicle Scheme.

• Optional Dental Insurance.

• Generous maternity, paternity, and shared parental leave.

• Employee Assistance Programme (EAP) offering support.

• Access to emergency care services for both elderly and children.

• RECARES days for volunteering and supporting charities.

• Access to employee resource groups with dedicated volunteer time.

• Extensive learning and development resources.

• Access to employee discounts via Perks at Work.

Working Hours: Standard full-time hours are expected, likely around 37.5-40 hours per week. While the role is on-site, there may be some flexibility depending on team agreements and project needs, but core business hours and collaboration with global teams may necessitate availability.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for senior software engineering roles in London. Actual compensation may vary based on the candidate's specific experience, qualifications, and negotiation. The benefits package is extensive and emphasizes employee wellbeing, financial security, and work-life balance, which is common for established tech companies. The mention of "RECARES days" and "Employee Resource Groups" suggests a company culture that values social responsibility and diversity.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Risk Management, and Analytics. Renishaw operates within the broader LexisNexis Risk Solutions (LNRS) business, which is part of RELX. LNRS is a global leader in providing data and analytics solutions to help businesses manage risk, prevent fraud, and ensure compliance.

Company Size: LexisNexis Risk Solutions (part of RELX) is a large, global organization. RELX has tens of thousands of employees worldwide. This specific team within Business Services likely comprises a significant number of engineers, data scientists, product managers, and operations specialists.

Founded: RELX was founded in 1958. LexisNexis has a long history originating from legal publishing. LexisNexis Risk Solutions has evolved through acquisitions and internal development to become a major player in risk analytics.

Team Structure:

• The role is within the Business Services vertical of LexisNexis Risk Solutions.

• The UI team likely consists of several engineers with varying levels of seniority, working collaboratively.

• This team will interact heavily with backend engineers, data scientists, ML engineers, product managers, and potentially UX designers.

• Reporting structure will likely be to an Engineering Manager or Lead within the Business Services technology group. Methodology:

• Data-driven decision-making is paramount, with a strong emphasis on metrics and performance.

• Agile development methodologies are likely employed, focusing on iterative development, continuous integration, and deployment.

• A culture of collaboration and knowledge sharing is expected, essential for working with complex data and advanced technologies.

• Security and compliance are core tenets, given the nature of risk and analytics data.

Company Website: https://risk.lexisnexis.com/

📝 Enhancement Note: Understanding the broader RELX and LexisNexis Risk Solutions context is vital. This is not a startup; it's a division of a large, established corporation. This implies stability, robust processes, and potentially more formal structures, but also opportunities to work on large-scale, impactful projects with significant resources. The focus on "risk solutions" means the work is critical and high-stakes, demanding precision and reliability.

📈 Career & Growth Analysis

Operations Career Level: This role is at a Senior level (Senior UI Software Engineer II). It implies a candidate who can not only execute but also contribute to technical direction, mentor junior engineers, and take ownership of significant features or components. The "II" designation suggests a higher tier of seniority within the senior band, possibly indicating leadership potential or a requirement for expertise in specialized areas.

Reporting Structure: The Senior UI Software Engineer II will likely report to an Engineering Manager or a Technical Lead within the Business Services technology group. They will be part of a team of UI engineers and will collaborate extensively with cross-functional teams including backend engineers, data scientists, and ML engineers.

Operations Impact: The impact of this role is directly tied to enabling customers to effectively use complex risk and analytics data. By building intuitive, high-performance interfaces, this engineer will directly influence customer adoption, operational efficiency for clients, and ultimately, the revenue generated through these data-driven solutions. The ability to surface AI and advanced analytics insights clearly is critical to the value proposition of LexisNexis Risk Solutions.

Growth Opportunities:

• Technical Specialization: Deepen expertise in React, data visualization libraries (D3, Plotly), and potentially modern AI frameworks (LLMs, vector search).

• Leadership Development: Progress into a Tech Lead role, guiding a team, defining architectural standards, and mentoring junior engineers.

• Cross-functional Mastery: Gain deeper knowledge of backend systems (Python/Java), data pipelines (Snowflake), and ML/AI model deployment and integration.

• Product Ownership: Take on greater responsibility for specific product features or modules, influencing roadmap and strategy.

• DevOps & SRE: Develop advanced skills in CI/CD, monitoring, and site reliability engineering for front-end services.

📝 Enhancement Note: The "II" in the title suggests a role that might involve leading technical initiatives or mentoring others, beyond individual contribution. Candidates should emphasize their experience in driving technical decisions, improving processes, and potentially guiding less experienced engineers. The growth opportunities highlight a path towards technical leadership or deeper specialization within the data-intensive UI domain.

🌐 Work Environment

Office Type: This is an on-site role located in London, suggesting a physical office environment. The description implies a collaborative workspace designed for team interaction and focused work.

Office Location(s): London Wall, London, United Kingdom. This is a central business district location, likely offering good transport links and amenities.

Workspace Context:

• The workspace will facilitate close collaboration with other engineers, data scientists, and product teams, crucial for integrating complex data and AI insights.

• Access to modern development tools, high-performance computing resources, and robust network infrastructure will be standard.

• The environment is expected to be professional and results-oriented, with a focus on delivering high-quality software solutions.

• Opportunities for informal knowledge sharing and formal technical discussions within the team and across departments.

Work Schedule: The role is full-time, likely with standard business hours (e.g., 9:00 AM to 5:00 PM or similar). Given the global nature of LexisNexis Risk Solutions, some flexibility might be required for communication with teams in different time zones, but the primary expectation is for on-site presence during core working hours.

📝 Enhancement Note: The on-site requirement in a prime London location suggests a company that values in-person collaboration and team cohesion. Candidates should be prepared for a structured work environment within a large corporate setting. The emphasis on collaboration implies that teamwork and communication skills will be as critical as technical proficiency.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will conduct an initial call to assess basic qualifications, experience, and cultural fit.

• Technical Screening: Typically involves a coding challenge or a technical interview focusing on core UI development skills (React, JavaScript/TypeScript, algorithms).

This might be live-coding or a take-home assignment.

• On-site/Virtual Interviews: Multiple rounds of interviews with different team members, including engineers, team leads, and potentially product managers. These will delve into:

  • Deeper technical problem-solving and system design questions related to building scalable UIs and data visualizations.
  • Discussion of past projects, focusing on challenges, solutions, and impact (portfolio review).
  • Behavioral questions assessing collaboration, initiative, and problem-solving approaches.
  • Questions about DevOps, security, and working with backend integrations.

• Final Round: May involve a discussion with senior leadership or a final system design challenge.

Portfolio Review Tips:

• Curate Selectively: Focus on 2-4 projects that best showcase your skills relevant to this role: scalable React applications, data visualization, complex data handling, and secure UI development.

• Quantify Impact: For each project, clearly articulate the problem, your role, the technical challenges, your solutions, and the measurable outcomes (e.g., performance improvements, user adoption, efficiency gains). Use metrics wherever possible.

• Highlight Data & AI Integration: If possible, include examples demonstrating integration with data pipelines, analytics services, or AI/ML model outputs.

• Showcase Architecture & Security: Be prepared to discuss the architectural decisions behind your projects and how you implemented security measures and access controls.

• Walkthrough Preparedness: Practice explaining your portfolio projects clearly and concisely, anticipating questions about your technical choices and problem-solving process.

Challenge Preparation:

• System Design: Practice designing scalable front-end architectures for data-intensive applications. Consider state management, API integration patterns, performance optimization, and error handling.

• Coding Proficiency: Refresh your knowledge of JavaScript/TypeScript, React fundamentals, common algorithms, and data structures. Be comfortable with live coding exercises.

• Data Visualization Concepts: Review concepts related to data visualization libraries (D3, Plotly) and best practices for presenting complex data effectively and accurately.

• DevOps & CI/CD: Understand the principles of continuous integration and continuous deployment, and how they apply to front-end development. Be ready to discuss monitoring and incident response.

📝 Enhancement Note: The interview process for a Senior II role will be rigorous, expecting not just coding ability but also architectural thinking, problem-solving depth, and the ability to articulate complex technical concepts. A well-prepared portfolio that highlights relevant experience and quantifiable achievements will be a significant advantage. Demonstrating an understanding of the "why" behind technical decisions is key.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Framework: React (primary)

• Language: TypeScript (primary), JavaScript

• Data Visualization: Dash, Domo, D3.js, Plotly, ECharts (experience with at least two required)

• Backend Integration: Python, Java (familiarity required for debugging/extending)

• Version Control: Git

Analytics & Reporting:

• Data Platform: Snowflake (experience with UI tooling or data pipelines preferred)

• Reporting/Dashboarding: Dash, Domo (specifically mentioned)

• Data Analysis: Understanding of how to present analytics data effectively through UI.

CRM & Automation:

• While not explicitly mentioned, experience with API integrations and potentially workflow tools could be beneficial. The role focuses more on data presentation and interaction rather than traditional CRM management.

• DevOps/CI/CD: Tools and practices related to build pipelines, deployment, monitoring (e.g., Jenkins, GitLab CI, Docker, Kubernetes, cloud-native monitoring tools).

📝 Enhancement Note: The technology stack is heavily focused on modern front-end development with React and TypeScript, coupled with a strong emphasis on data visualization and integration with data platforms like Snowflake. Experience with Python or Java for backend interaction is a significant plus, indicating a need for a broader understanding of the full data path. DevOps proficiency is also explicitly required.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A strong commitment to using data to inform decisions, measure impact, and drive continuous improvement in UI development and performance.

• Collaboration and Transparency: Fostering an environment where team members openly share knowledge, provide constructive feedback, and work together to solve complex problems.

• Customer Focus: Prioritizing the end-user experience, ensuring that the interfaces are intuitive, reliable, and effectively serve customer needs in managing risk.

• Security and Compliance: Upholding the highest standards of data security and regulatory compliance in all aspects of UI development and data presentation.

• Innovation and Continuous Learning: Encouraging exploration of new technologies (like LLMs, vector search) and methodologies to enhance product offerings and developer efficiency.

Collaboration Style:

• Cross-functional Integration: Engineers are expected to work closely with backend, ML, product, and potentially UX teams, bridging gaps and ensuring seamless integration of features.

• Agile & Iterative: Embracing agile principles with regular stand-ups, sprint reviews, and retrospectives to ensure rapid iteration and alignment.

• Knowledge Sharing: Active participation in code reviews, technical discussions, and internal brown-bag sessions to disseminate best practices and learnings.

• Proactive Problem Solving: A culture that encourages identifying potential issues early and collaborating to find efficient and effective solutions.

📝 Enhancement Note: The emphasis on "Data-Driven Excellence," "Security and Compliance," and "Customer Focus" aligns with the nature of LexisNexis Risk Solutions. The collaboration style suggests a dynamic, team-oriented environment where cross-functional work is the norm. Candidates should demonstrate how they embody these values in their work.

⚡ Challenges & Growth Opportunities

Challenges:

• Scalability and Performance: Building and maintaining high-performance UIs that can handle massive datasets and strict SLAs requires careful architectural design and continuous optimization.

• Complex Data Representation: Effectively visualizing and interacting with intricate risk, analytics, and AI-driven insights in a way that is both intuitive and accurate.

• Security and Compliance Demands: Navigating stringent security requirements and compliance regulations inherent in handling sensitive risk data.

• Cross-functional Dependencies: Coordinating effectively with multiple engineering disciplines (backend, ML) and product teams to ensure seamless integration and timely delivery.

• Staying Ahead of Technology: Keeping pace with evolving front-end technologies, data visualization techniques, and emerging AI trends (LLMs, vector search).

Learning & Development Opportunities:

• Advanced UI/UX Techniques: Opportunities to deepen expertise in complex component development, performance optimization, and effective data visualization strategies.

• AI and ML Integration: Hands-on experience integrating cutting-edge AI models and insights into user-facing applications.

• Cloud and DevOps Practices: Enhancing skills in cloud-native development, CI/CD, monitoring, and infrastructure as code for front-end services.

• Domain Expertise: Gaining in-depth knowledge of the risk analytics, fraud detection, and identity verification industries.

• Mentorship and Leadership: Opportunities to mentor junior engineers and potentially step into technical leadership roles.

📝 Enhancement Note: The challenges are typical for a senior role in a data-intensive tech company. The growth opportunities are substantial, offering clear paths for both technical and leadership development. Candidates should highlight how they have tackled similar challenges and how they are eager to leverage these growth opportunities.

💡 Interview Preparation

Strategy Questions:

• UI Architecture for Scale: "Describe how you would architect a scalable, high-performance dashboard for real-time risk analytics data. What key considerations would you prioritize regarding performance, data loading, and state management?" (Focus on React, data visualization libraries, API strategies).

• Data Visualization Best Practices: "How do you approach visualizing complex, multi-dimensional data to ensure clarity and accuracy for end-users, especially when dealing with sensitive risk information? Provide an example." (Leverage D3, Plotly, or similar; discuss clarity, context, and potential pitfalls).

• DevOps & Production Readiness: "Walk me through your process for ensuring a front-end application is production-ready. What are your key considerations for deployment, monitoring, and incident response?" (Discuss CI/CD, logging, alerting, error tracking).

• Collaboration & Integration: "Describe a time you had to collaborate closely with backend or ML engineers to integrate complex data or AI features into a UI. What were the challenges, and how did you overcome them?" (Focus on communication, API contracts, debugging across stacks).

Company & Culture Questions:

• "What interests you about LexisNexis Risk Solutions and this specific role?" (Research the company's mission, products, and the role's impact on risk management).

• "How do you stay updated with the latest advancements in front-end development and data visualization?" (Showcase continuous learning).

• "Describe a situation where you had to balance competing priorities or technical constraints. How did you make your decision?" (Assesses problem-solving and prioritization).

• "How do you contribute to a collaborative team environment, especially when working with cross-functional teams?" (Focus on communication, feedback, and teamwork). Portfolio Presentation Strategy:

• Storytelling Approach: For each project, frame it as a narrative: the problem, your proposed solution, the technical execution, the challenges faced, and the measurable results.

• Highlight Key Technologies: Clearly indicate the technologies used, especially React, TypeScript, and any data visualization tools.

• Emphasize Scalability & Performance: For data-intensive projects, specifically call out how you addressed performance bottlenecks and ensured scalability.

• Showcase Security Measures: If applicable, detail how you implemented security features like role-based access control or secure data handling.

• Be Ready for Deep Dives: Anticipate detailed questions about your code, architectural choices, and decision-making process.

📝 Enhancement Note: Prepare to discuss your projects in detail, focusing on the "why" behind your technical decisions and the impact of your work. Demonstrating an understanding of the company's domain (risk, analytics) and its importance will be beneficial. Be ready to articulate your approach to complex technical challenges and collaborative problem-solving.

📌 Application Steps

To apply for this Senior UI Software Engineer II position:

• Submit your application through the provided Workday link.

• Portfolio Customization: Tailor your resume and any accompanying materials to highlight projects demonstrating scalable React development, data visualization expertise, and experience with complex, data-intensive applications. Quantify achievements wherever possible.

• Resume Optimization: Ensure your resume clearly lists your experience with React, TypeScript, relevant data visualization tools (Dash, Domo, D3, Plotly, ECharts), and any experience with Python/Java for backend integration or Snowflake. Use keywords from the job description.

• Interview Preparation: Practice articulating your experience with system design, data visualization challenges, DevOps practices, and cross-functional collaboration. Prepare to walk through your portfolio projects in detail, focusing on technical challenges and outcomes.

• Company Research: Familiarize yourself with LexisNexis Risk Solutions, its mission in risk management and analytics, and its position within RELX. Understand the importance of data security and compliance in this domain.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions based on the provided information and common practices for Senior UI Software Engineer roles. All details, particularly regarding salary estimates and specific interview processes, should be verified directly with the hiring organization during the application and interview stages.