At a Glance
- Tasks: Define quality assurance strategies and develop automated test frameworks for AI applications.
- Company: Join a leading tech firm focused on AI innovation and quality excellence.
- Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on innovation and career advancement.
- Why this job: Be at the forefront of AI technology and ensure top-notch quality in groundbreaking projects.
- Qualifications: 5+ years in software quality assurance with expertise in AI/ML testing.
The predicted salary is between 63000 - 77000 £ per year.
- Job Responsibilities
- Define and implement comprehensive quality assurance strategies and test plans for AI agents and LLM-powered applications
- Design and develop robust, scalable, and maintainable automated test frameworks
- Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria
- Improve testing processes and infrastructure, integrating automated checks into CI/CD pipelines
- Identify, document, track, and analyze software defects and inconsistencies
- Monitor production systems and AI model performance and contribute to post-release quality validation
- Champion quality best practices across engineering teams
- Design, manage, and maintain test data strategies and mock services
- Manage the full defect lifecycle using customer feedback and debugging logs
- Report directly to the director of engineering
Requirements
- 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications
- 5+ years of experience working with Git Hub Actions
- Proficiency in Python or Type Script for test automation
- Experience with modern testing frameworks such as Playwright
- Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs
- Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP)
- Experience with AWS, Azure, or GCP and Docker or Kubernetes in a CI/CD environment is a big plus
- Exceptional analytical skills and keen attention to detail
- Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment
- Must be located within 50 miles of one of the office hubs or be willing to relocate
- Must be able and willing to work in person in the office 3 days per week
- Must be legally authorized to work in the country in which the job is located
- Core Competencies
Demonstrates expertise in quality assurance strategies for AI and LLM applications, with a strong focus on automated testing frameworks and CI/CD integration.
Proficient in Python or Type Script, with a solid understanding of AI/ML concepts and testing methodologies.
- Highest-signal resume keywords
- Quality Assurance Strategies
- Automated Test Frameworks
- Python or Type Script
- AI/ML Concepts
- Git Hub Actions
- Hard Skills
- Quality Assurance
- Test Automation
- Automated Testing Frameworks
- AI/ML Testing
- Defect Lifecycle Management
- Model Evaluation Metrics
- Data Pipelines
- Agentic AI Systems
- Playwright
- CI/CD Integration
- Soft Skills
- Analytical Skills
- Attention to Detail
- Initiative
- Adaptability
- Collaboration
- Industry Keywords
- AI Agents
- LLM-Powered Applications
- Testing Complex Distributed Systems
- Mock Services
- Post-Release Quality Validation
- Tools & Technologies
- Git Hub Actions
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- #J-18808-Ljbffr
Software Quality Engineer in London employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Software Quality Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jobtailor or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jobtailor.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jobtailor.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jobtailor that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Quality Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jobtailor.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobtailor and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jobtailor
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jobtailor uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
