Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the transformation of testing strategies to AI-driven quality engineering.
- Company: Join a forward-thinking tech company at the forefront of AI and automation.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Why this job: Be a pioneer in AI and automation, shaping the future of quality engineering.
- Qualifications: 15 years in Quality Engineering with leadership experience in large-scale transformations.
- Other info: Dynamic role with a focus on innovation and continuous learning.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a visionary Quality Engineering (QE) Transformation Leader to drive the evolution of a large-scale testing organization (350 professionals) from traditional testing strategies to AI-enabled, automation-first approaches. This role will spearhead the adoption of cutting-edge AI technologies, modern automation frameworks, and innovative tooling strategies to deliver superior quality at speed and scale.
Key Responsibilities:
- Strategic Leadership: Define and execute a multi-year transformation roadmap to transition from conventional testing to AI-driven QE practices. Align transformation initiatives with organizational goals, ensuring measurable business outcomes.
- AI & Automation Enablement: Introduce and scale AI-powered testing solutions (e.g., predictive analytics, self-healing scripts, intelligent test generation). Drive automation maturity across functional, regression, performance, and security testing.
- Tooling Strategy & Governance: Develop and implement a comprehensive tooling strategy for test automation, AI-based test optimization, and continuous quality. Evaluate, select, and integrate best-in-class tools and platforms to support AI-enabled QE.
- Change Management & Adoption: Lead cultural and skill transformation within the QE organization, fostering innovation and continuous learning. Design and deliver enablement programs for upskilling teams on AI, ML, and advanced automation practices.
- Collaboration & Stakeholder Management: Partner with engineering, product, and business leaders to embed quality into the development lifecycle. Act as a thought leader and evangelist for AI-driven QE across the enterprise.
- Metrics & Reporting: Define KPIs to measure transformation success (e.g., automation coverage, defect leakage, cycle time reduction). Provide regular updates to senior leadership on progress, challenges, and ROI.
Required Skills & Experience:
- 15 years in Quality Engineering, with at least 5 years in leadership roles driving large-scale transformation.
- Proven track record of implementing AI and automation strategies in enterprise environments.
- Technical Expertise: Deep understanding of AI/ML concepts applied to software testing. Hands-on experience with automation frameworks (Selenium, Cypress, Playwright), AI-based testing tools, and CI/CD pipelines.
- Leadership & Communication: Exceptional ability to influence and lead cross-functional teams. Strong communication and stakeholder management skills.
Preferred: Exposure to cloud-native testing, DevOps, and continuous quality practices. Certifications in AI/ML or advanced test automation.
Locations
AI & Automation Transformation QE Leader in Sheffield, Yorkshire employer: InfinityQuest Ltd,
Contact Detail:
InfinityQuest Ltd, Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Automation Transformation QE Leader in Sheffield, Yorkshire
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and automation. This gives you something tangible to discuss during interviews and shows you're proactive.
✨Tip Number 3
Prepare for those interviews! Research common questions for QE leaders and practice your responses. Be ready to discuss how you've driven transformation in past roles and how you can bring that experience to the table.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your alignment with our vision for AI-driven quality engineering.
We think you need these skills to ace AI & Automation Transformation QE Leader in Sheffield, Yorkshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI & Automation Transformation QE Leader role. Highlight your leadership experience and any relevant projects that showcase your expertise in AI and automation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share your vision for transforming quality engineering and how your past experiences have prepared you to lead this change.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with automation frameworks and AI-based testing tools. We want to see how you’ve applied these technologies in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at InfinityQuest Ltd,
✨Know Your AI & Automation Stuff
Make sure you brush up on the latest AI and automation trends in quality engineering. Be ready to discuss specific tools and frameworks like Selenium or Cypress, and how you've used them in past roles. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves leading a large team through transformation, be prepared to share examples of how you've successfully managed change in the past. Talk about your approach to fostering innovation and continuous learning within your teams.
✨Align with Their Vision
Understand the company's goals and how they align with your vision for AI-driven quality engineering. Be ready to discuss how you would define and execute a transformation roadmap that meets their needs while delivering measurable business outcomes.
✨Prepare for Stakeholder Management Questions
Expect questions about how you would collaborate with cross-functional teams. Have examples ready that demonstrate your ability to influence and lead stakeholders, ensuring quality is embedded throughout the development lifecycle.
