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: Front-End Engineering / UI Development

Date Posted: 2026-04-14

Experience Level: Mid-Senior (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Design, develop, and deploy user interfaces for data-intensive products, focusing on React and TypeScript.

• Enhance portal and dashboard performance and reliability for high data volumes and stringent availability targets.

• Integrate UI with analytics and ML services, translating model outputs into intuitive user experiences.

• Implement secure, privacy-aware UI patterns, including role-based access controls, to ensure data integrity and user trust.

• Collaborate closely with ML, data science, and backend engineering teams to deliver end-to-end solutions.

📝 Enhancement Note: This role is positioned as a Senior UI Software Engineer II, indicating a need for experienced professionals capable of independent work, technical leadership, and mentoring junior engineers. The emphasis on "data-intensive products" and "AI insights and analytics" suggests a focus on leveraging complex data for business decision-making within a B2B or enterprise context.

📈 Primary Responsibilities

• Architect and implement robust, scalable, and performant front-end solutions using React and TypeScript.

• Develop and maintain dynamic data views and interactive workflows leveraging platforms such as Dash, Domo, or Snowflake UI tooling.

• Optimize UI performance and reliability to ensure seamless user experiences even with substantial data loads and strict latency/availability requirements.

• Seamlessly integrate front-end applications with inference and analytics APIs, ensuring clear and responsible data presentation.

• Design and implement secure UI frameworks, incorporating role-based access controls and adhering to privacy-by-design principles.

• Act as a key liaison between UI engineering, ML, and data science teams to translate complex model outputs into user-friendly interfaces.

• Contribute to the full lifecycle of front-end services, including supporting build/release pipelines, implementing monitoring solutions, and participating in on-call rotations for incident response.

• Drive best practices in shared UI component development, establish design standards, and enhance tooling to improve overall developer productivity and experience.

📝 Enhancement Note: The responsibilities highlight a blend of core front-end development, data visualization expertise, and operational awareness (CI/CD, monitoring, incident response). The role requires proactive engagement with cross-functional teams and a commitment to improving developer tooling and standards, indicative of a senior-level contribution beyond just coding.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is generally expected for a Senior Software Engineer role.

Experience: A minimum of 5-10 years of professional experience in front-end software engineering, with a strong emphasis on building production-ready user interfaces.

Required Skills:

• Proven, extensive experience in building production-grade UIs using React and TypeScript.

• Demonstrated expertise with at least two of the following or similar data visualization/BI platforms: Dash, Domo, Snowflake UI tooling, Tableau, Power BI, or similar.

• Solid experience in developing dashboards or data-heavy applications where performance optimization and reliability (meeting latency/availability targets) are critical.

• Practical working knowledge of backend services (e.g., Python, Java, Node.js) to facilitate end-to-end debugging and effective collaboration with backend engineering teams.

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

• Strong initiative, excellent communication skills, and a proven ability to collaborate effectively with cross-functional partners including product management, data science, and engineering.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure, GCP) and their relevant services for front-end deployment and data integration.

• Familiarity with state management libraries (e.g., Redux, Zustand, Context API) within React applications.

• Knowledge of accessibility standards (WCAG) and experience implementing accessible UI components.

• Experience with automated testing frameworks for front-end applications (e.g., Jest, React Testing Library, Cypress).

• Understanding of micro-frontend architectures or component library development.

📝 Enhancement Note: The "5-10 years" experience level for a Senior II role suggests a need for seasoned engineers who can operate with significant autonomy, mentor others, and contribute to architectural decisions. The requirement for backend knowledge is crucial for understanding the full stack and troubleshooting complex issues in data-intensive environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of complex, data-intensive UI applications developed using React and TypeScript, highlighting performance optimization techniques.

• Examples of dashboards or data visualization tools created, demonstrating proficiency with libraries like D3, Plotly, or ECharts.

• Case studies detailing contributions to the development of user interfaces for analytics or ML-driven products, with a focus on user experience and data clarity.

• Documentation or examples of secure UI patterns implemented, such as role-based access controls or privacy-aware data handling.

Process Documentation:

• Examples of how you've documented UI workflows and component designs for maintainability and knowledge sharing.

• Demonstrations of process improvement initiatives within a front-end development lifecycle, such as optimizing build times or improving testing strategies.

• Artifacts illustrating collaboration with backend or data science teams to define API contracts and data integration processes.

📝 Enhancement Note: For a senior role, a portfolio demonstrating not just coding ability but also architectural thinking, performance tuning, security considerations, and cross-functional collaboration is essential. The emphasis on "production UIs" and "data-intensive products" means candidates should be prepared to discuss real-world challenges and solutions.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UI Software Engineers II in London, UK, with 5-10 years of experience, the estimated salary range is £70,000 - £100,000 per annum. This range can vary based on specific skills, interview performance, and the company's compensation philosophy.

Benefits:

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

• Comprehensive health and wellbeing support, including health screening, eye care vouchers, and private medical benefits.

• Wellbeing programs and access to an Employee Assistance Programme (EAP).

• Life assurance coverage.

• Competitive contributory pension scheme.

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

• Travel season ticket loan.

• Electric Vehicle Scheme.

• Optional Dental Insurance.

• Supportive parental leave policies: Maternity, paternity, and shared parental leave.

• Specialized support: Access to emergency care for both the elderly and children.

• Community engagement: RECARES days for volunteering and access to employee resource groups with dedicated volunteer time.

• Continuous learning: Access to extensive learning and development resources.

• Employee perks: Access to employee discounts scheme via Perks at Work.

• Country-specific benefits tailored to location.

Working Hours: The standard working hours are typically 40 hours per week. While the role is on-site, there may be flexibility within the workday, subject to team coordination and project needs.

📝 Enhancement Note: The salary estimate is based on typical Senior Engineer II compensation in London, considering the skills required (React, TypeScript, data viz) and the company's likely sector (data/analytics solutions). The provided benefits are extensive and reflect a commitment to employee well-being and work-life balance, common for established technology firms.

🎯 Team & Company Context

🏢 Company Culture

Industry: The parent company, LexisNexis (part of RELX), operates in information and analytics, providing data-driven solutions across various sectors including legal, risk, and business intelligence. Renishaw, while a separate entity, is implied to be part of this ecosystem or a partner, suggesting a focus on technological innovation and data-driven decision-making. For this role, the context is within the Risk Solutions division, indicating a focus on data analytics for risk assessment and mitigation.

Company Size: LexisNexis/RELX is a large, global corporation with thousands of employees. This implies a structured environment with established processes, robust infrastructure, and opportunities for career advancement within a large organization.

Founded: RELX was founded in 1958, and LexisNexis has a history dating back to the 1970s. This long-standing presence suggests stability, a mature market understanding, and a deep well of expertise in information services.

Team Structure:

• The UI Engineering team likely consists of several Senior Engineers, potentially a Lead Engineer, and junior/mid-level engineers. They will collaborate closely with Product Managers, UX/UI Designers, Data Scientists, ML Engineers, and Backend Engineers.

• Reporting structure will likely be to an Engineering Manager or Director of Engineering, with potential dotted-line reporting for project-specific leads.

Methodology:

• Data analysis and insights are central to the company's mission, so data-driven decision-making is paramount in all engineering efforts.

• Workflow planning and optimization will focus on agile methodologies, likely Scrum or Kanban, emphasizing iterative development and continuous feedback loops.

• Automation and efficiency practices will be applied to development, testing, deployment (CI/CD), and monitoring to ensure high throughput and reliability.

Company Website: https://www.renishaw.com/ (Note: The provided URL was for Workday jobs, the company website is inferred from the context of "LexisNexis Risk Solutions" and "RELX" which is the parent company. Renishaw is a separate entity, and the job description seems to originate from a RELX/LexisNexis context. For clarity, the primary domain of the hiring entity is likely relx.com or lexisnexis.com)

📝 Enhancement Note: Given the ambiguity between Renishaw and RELX/LexisNexis, it's important to clarify the exact hiring entity. However, the description strongly points towards a data analytics/information services company (LexisNexis/RELX). The size and industry suggest a corporate environment with a strong emphasis on data integrity, security, and scalable solutions.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UI Software Engineer II role, positioned at an experienced individual contributor level. It requires significant technical depth, the ability to lead complex projects, and potentially mentor other engineers. The scope involves end-to-end ownership of UI features for data-intensive products, including performance, reliability, and integration with advanced analytics and ML services.

Reporting Structure: The role reports into an Engineering Manager or Director. Collaboration will be extensive with Product Managers, UX Designers, Data Scientists, ML Engineers, and Backend Engineers, forming a matrixed project team structure.

Operations Impact: This role directly impacts the usability and effectiveness of data-driven products. By building intuitive and performant interfaces, the engineer enables internal teams and external customers to leverage AI insights and analytics for critical day-to-day decisions, directly contributing to business intelligence and risk management outcomes.

Growth Opportunities:

• Technical Specialization: Deepen expertise in React, TypeScript, data visualization, and cloud-native front-end architectures. Potential to become a go-to expert in specific areas like performance optimization or accessibility.

• Leadership Development: Opportunities to lead technical initiatives, mentor junior engineers, and contribute to architectural design decisions. Potential progression to Staff or Principal UI Engineer roles.

• Cross-Functional Skill Development: Gain deeper understanding of ML models, data pipelines, and backend systems through close collaboration, enhancing full-stack awareness and problem-solving capabilities.

• Domain Expertise: Develop specialized knowledge in risk assessment and data analytics within specific industries (e.g., finance, legal), becoming a valuable asset in these domains.

📝 Enhancement Note: The "Senior II" designation implies a level beyond entry-level senior, suggesting expectations for proactive problem-solving, technical leadership, and a significant impact on project success. Growth opportunities will likely involve increasing responsibility, technical mentorship, and potential specialization within the data analytics and AI product landscape.

🌐 Work Environment

Office Type: The role is explicitly stated as "On-site," implying a traditional office-based work environment. This suggests a collaborative workspace designed for team interaction and focused work.

Office Location(s): The primary location is London, UK (London Wall). The mention of "Sweden" in locations_alt_raw might indicate a distributed team or potential for collaboration with teams in Sweden.

Workspace Context:

• The London Wall office is likely a modern corporate environment, potentially with open-plan areas, meeting rooms, and collaborative zones to foster teamwork.

• Access to necessary development tools, high-performance workstations, and potentially specialized hardware for testing or demos would be expected.

• Frequent interaction with team members, including engineers, product managers, and designers, will be a key aspect of the daily work environment.

Work Schedule: Standard business hours are expected, likely 40 hours per week. While on-site, there might be some flexibility for start/end times, but core hours will be necessary for team synchronization and collaborative activities.

📝 Enhancement Note: The "On-site" requirement is a key differentiator. Candidates should be prepared for a structured office environment and understand the benefits of in-person collaboration for complex, data-intensive projects. The London Wall location suggests a central, accessible business district.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit.

• Technical Screening: A coding challenge or technical interview focusing on React, TypeScript, and potentially data visualization concepts. This may be a live coding session or a take-home assignment.

• On-site/Virtual Interviews: Multiple rounds with engineering team members, including peers and potentially the engineering manager. These sessions will delve deeper into system design, problem-solving, debugging complex scenarios, and discussing past projects.

• Portfolio Presentation: A dedicated session where candidates present 1-2 key projects from their portfolio, showcasing their contributions, technical decisions, and impact. This is crucial for demonstrating proficiency in data-intensive UI development.

• Hiring Manager Interview: Final discussion focusing on career aspirations, leadership potential, team fit, and alignment with company values.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your experience with React, TypeScript, data visualization, performance optimization, and handling data-intensive applications. Prioritize projects with quantifiable results.

• Structure Your Narrative: For each project, clearly articulate the problem statement, your specific role and contributions, the technical challenges faced, the solutions implemented (highlighting specific technologies and design patterns), and the measurable outcomes or business impact.

• Highlight Data-Centricity: Emphasize how you handled complex data, ensured its clear and accurate visualization, and optimized performance for large datasets. Discuss integration with APIs and backend services.

• Demonstrate Collaboration: Be prepared to discuss how you worked with cross-functional teams (product, design, ML, backend) and how you communicated technical concepts effectively.

• Technical Depth: Be ready to dive deep into the technical details of your chosen projects, explaining architectural decisions, code structure, and trade-offs made.

Challenge Preparation:

• System Design: Practice designing scalable and performant front-end architectures for data-intensive applications. Consider aspects like state management, data fetching strategies, caching, and error handling.

• Coding Proficiency: Refresh your knowledge of JavaScript, React hooks, component lifecycle, and TypeScript fundamentals. Practice common data manipulation and algorithm problems that might arise in data visualization contexts.

• Problem-Solving Scenarios: Prepare to discuss how you would debug performance bottlenecks, address UI inconsistencies, or integrate with unfamiliar APIs. Think about breaking down complex problems into manageable steps.

📝 Enhancement Note: The portfolio review is a critical component for senior engineering roles. Candidates should prepare to present detailed case studies that highlight their ability to tackle complex, data-driven UI challenges and demonstrate tangible impact.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Framework: React (core requirement)

• Language: TypeScript (core requirement)

• Data Visualization/BI: Dash, Domo, Snowflake UI tooling (or similar platforms like Tableau, Power BI), D3.js, Plotly, ECharts.

• Backend Integration: Experience with RESTful APIs and potentially GraphQL. Familiarity with Python or Java for backend understanding.

Analytics & Reporting:

• Web Analytics: Tools like Google Analytics, Adobe Analytics, or internal tracking solutions for understanding user behavior on portals.

• Performance Monitoring: Tools like Sentry, Datadog, New Relic, or browser developer tools for identifying and resolving performance issues.

• Reporting Dashboards: Experience using or contributing to internal dashboards for monitoring application health, user engagement, and feature adoption.

CRM & Automation:

• While not directly CRM-focused, understanding how front-end applications interact with backend systems that might feed into or consume CRM data is beneficial.

• CI/CD: Familiarity with tools like Jenkins, GitLab CI, GitHub Actions, or similar for automated build, testing, and deployment pipelines.

• Version Control: Git is standard.

📝 Enhancement Note: The technology stack emphasizes modern front-end development practices and a strong focus on data handling. The inclusion of BI/data visualization platforms indicates a need for engineers who can translate complex data into actionable insights for users.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A commitment to leveraging data for all decisions, from feature prioritization to performance tuning, ensuring that UI development is grounded in user behavior and business impact.

• Reliability & Performance: A strong emphasis on building stable, fast, and responsive applications, especially critical for data-intensive environments where performance directly affects user productivity and satisfaction.

• Collaboration & Transparency: Fostering an environment where team members openly share knowledge, provide constructive feedback, and work together across disciplines to achieve common goals.

• User-Centric Design: Prioritizing the end-user experience, ensuring that interfaces are intuitive, accessible, and effectively meet the needs of diverse users interacting with complex data.

• Security & Privacy: Embedding security and privacy considerations into the development process from the outset, adhering to best practices to protect sensitive data.

Collaboration Style:

• Cross-functional Integration: Engineers are expected to actively collaborate with product managers, designers, data scientists, and backend engineers, participating in all phases of the product lifecycle.

• Agile Methodologies: Embracing iterative development, regular stand-ups, sprint reviews, and retrospectives to ensure continuous improvement and alignment.

• Knowledge Sharing: Encouraging the sharing of best practices, code reviews, and technical insights through internal documentation, lunch-and-learns, and collaborative problem-solving sessions.

📝 Enhancement Note: The emphasis on data-driven approaches, performance, and cross-functional collaboration aligns with typical expectations for senior roles in technology companies focused on analytics and information services.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Performance and Features: Developing sophisticated UI features while maintaining high performance and responsiveness with large datasets can be technically demanding.

• Integrating Complex Data: Translating outputs from ML models and complex data pipelines into intuitive and understandable user interfaces requires creative problem-solving and deep collaboration.

• Staying Current with Technology: The front-end landscape evolves rapidly; keeping up with new tools, libraries, and best practices while delivering on current projects is an ongoing challenge.

• Cross-Disciplinary Communication: Effectively bridging the gap between UI/UX, data science, and backend engineering requires clear communication and a shared understanding of technical concepts.

Learning & Development Opportunities:

• Advanced React/TypeScript: Opportunities to master advanced patterns, explore new features, and potentially contribute to internal component libraries or frameworks.

• Data Visualization Mastery: Deepen expertise in data visualization techniques, exploring advanced libraries and understanding principles of effective data storytelling.

• Cloud & Backend Exposure: Gain hands-on experience with cloud platforms (AWS/Azure/GCP) and backend technologies through integration and collaboration, broadening technical scope.

• Mentorship & Leadership: Develop leadership skills by mentoring junior engineers, leading technical discussions, and contributing to architectural decisions.

📝 Enhancement Note: The challenges presented are typical for senior roles in complex, data-driven environments. The growth opportunities are geared towards expanding technical expertise and leadership capabilities within the front-end and data analytics domain.

💡 Interview Preparation

Strategy Questions:

• UI Strategy: "Describe your approach to designing and building a high-performance UI for a dashboard that visualizes millions of data points. What key considerations would you prioritize?" (Focus on performance optimization, data loading strategies, rendering techniques, and choice of visualization libraries).

• Cross-functional Collaboration: "Walk me through a time you collaborated with data scientists or ML engineers to bring a data-driven feature to life. What were the challenges, and how did you ensure successful integration and user adoption?" (Highlight communication, API definition, data representation, and feedback loops).

• Problem-Solving: "Imagine a critical dashboard feature is experiencing significant latency. How would you diagnose and resolve this issue, considering both front-end and potential backend dependencies?" (Emphasize systematic debugging, profiling tools, and collaboration with backend teams).

Company & Culture Questions:

• "Based on your research, what do you see as the biggest opportunities for UI/UX to enhance the value of data analytics products at Renishaw/LexisNexis?" (Show you've researched their industry and product focus).

• "How do you approach staying updated with the latest front-end technologies and best practices, and how would you share this knowledge with the team?" (Demonstrate continuous learning and a collaborative mindset).

Portfolio Presentation Strategy:

• STAR Method: Structure your project presentations using the Situation, Task, Action, Result method to provide clear context and highlight your impact.

• Visuals are Key: Use screenshots, diagrams, or even short video demos of your projects to make your presentation engaging and easy to understand. Focus on the UI and data visualization aspects.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your projects (e.g., "improved load time by 30%", "increased user engagement by 15%", "reduced error rate by X%").

• Technical Deep Dive: Be prepared to answer detailed questions about your code, architectural choices, and the trade-offs you made. Show your understanding of the underlying technologies.

• Focus on Data: Specifically highlight how you handled complex data, ensured its accurate and efficient display, and integrated with relevant data sources or APIs.

📝 Enhancement Note: Interviewers will be looking for a deep understanding of front-end architecture, performance optimization, data visualization, and the ability to collaborate effectively in a data-centric environment. The portfolio presentation is a crucial opportunity to showcase practical application of these skills.

📌 Application Steps

To apply for this Senior UI Software Engineer II position:

• Submit your application through the provided Workday link: https://relx.wd3.myworkdayjobs.com/RiskSolutions/job/London/Senior-UI-Software-Engineer-II_R111577

• Tailor Your Resume: Highlight your experience with React, TypeScript, data visualization tools (Dash, Domo, Snowflake, D3, Plotly), performance optimization for data-intensive applications, and any backend experience. Use keywords from the job description.

• Prepare Your Portfolio: Select 2-3 strong projects that demonstrate your skills in building production UIs for data-intensive products. Be ready to walk through them in detail, explaining your technical contributions and the impact.

• Practice Technical Questions: Review common React, TypeScript, and JavaScript interview questions, focusing on performance, state management, and data handling. Be ready for a coding challenge.

• Research the Company: Understand LexisNexis Risk Solutions and RELX's business, their products, and their focus on data analytics and AI. Prepare to discuss how your skills align with their mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.