At a Glance
- Tasks: Ensure quality and reliability of AI-enabled products through automated testing.
- Company: Join LexisNexis Risk Solutions, a leader in data analytics and risk management.
- Benefits: Generous holiday, health benefits, learning resources, and employee discounts.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on safety and efficiency with cutting-edge technology.
- Qualifications: Experience in QA automation, Python or TypeScript, and familiarity with ML workflows.
The predicted salary is between 50000 - 65000 £ per year.
About the Business
LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient.
About the role:
As a QA Test Engineer, you will help ensure the quality, reliability, and security of distributed services and machine-learning (ML) components. You will build and improve automated testing and QA tooling that supports AI-enabled products at scale.
Responsibilities:
- Build automated test suites for APIs, ML services, and data pipelines.
- Validate model behaviour, drift, and performance against defined service levels.
- Test feature pipelines and real-time decisioning components.
- Improve continuous testing, automated regression, and integration frameworks.
- Use AI-assisted testing tools where appropriate (for example, LLM-based test generation and fuzz testing).
- Validate data quality and transformation logic within Snowflake pipelines.
- Contribute to quality gates in DevOps and SecOps, including security scanning, compliance checks, and release controls.
- Partner with developers to ensure releases meet performance and reliability standards.
Requirements:
- Experience in QA automation and building reliable automated test suites.
- Ability to automate tests in Python or TypeScript.
- Experience testing APIs, microservices, and event-driven systems.
- Familiarity with ML/AI development workflows (for example, validating model performance and monitoring for drift).
- Experience with Snowflake or a similar cloud data platform.
- Understanding of CI/CD and security-aware engineering practices.
- Comfort working across disciplines and learning new tools as needed.
Working for you:
We offer a range of benefits to support your wellbeing and life outside work, including:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Quality Test Engineer II in London employer: LexisNexis Risk Solutions
LexisNexis Risk Solutions is an exceptional employer that prioritises employee well-being and professional growth, offering a generous holiday allowance, comprehensive health benefits, and extensive learning resources. Our collaborative work culture fosters innovation and supports your career development while making a meaningful impact on communities through advanced technology and analytics. Join us in a dynamic environment where your contributions help enhance operational efficiency and safety for our customers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quality Test Engineer II in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at LexisNexis. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your automated testing projects. This gives you a chance to demonstrate your expertise in Python or TypeScript and makes you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of CI/CD practices and ML workflows. Be ready to discuss how you've tackled challenges in QA automation before – real-life examples can make a big impact!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the LexisNexis team.
We think you need these skills to ace Senior Quality Test Engineer II in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Quality Test Engineer role. Highlight your experience in QA automation, especially with Python or TypeScript, and any relevant projects that showcase your skills in testing APIs and ML services.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality assurance and how your background aligns with our mission at LexisNexis Risk Solutions. Don’t forget to mention any experience you have with AI-assisted testing tools!
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and adapt to new tools and workflows, especially in the context of CI/CD and security-aware engineering practices.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the details you need to submit your application smoothly. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python or TypeScript for automation. Brush up on your knowledge of APIs, microservices, and ML workflows, as these will likely come up during the interview.
✨Showcase Your Testing Experience
Prepare to discuss specific examples of automated test suites you've built. Be ready to explain your approach to validating model performance and how you’ve contributed to continuous testing and integration frameworks in past roles.
✨Understand the Business Context
Familiarise yourself with LexisNexis Risk Solutions and their focus on risk evaluation and operational efficiency. Being able to connect your technical skills to their business goals will demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges, the tools they use, and how they measure success in QA. This shows that you’re not just interested in the position but also in contributing to the team’s success.
