At a Glance
- Tasks: Join a dynamic team to ensure the quality of cutting-edge AI technologies.
- Company: Reputable financial services company leading in AI innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Work closely with cross-functional teams in a collaborative environment.
- Why this job: Make a real impact on AI systems that drive innovation and change.
- Qualifications: 5 years in software quality assurance with AI testing experience.
The predicted salary is between 50000 - 70000 £ per year.
Our client, a well-known company in the financial services industry, is looking for a highly motivated and skilled AI Test Engineer to join their quality assurance team, working on cutting-edge AI-driven technologies. This role plays a critical part in ensuring the integrity, fairness, and reliability of AI models through close collaboration with cross-functional teams in technology and business.
Only candidates with relevant testing and AI experience will be considered for this role. Candidates must also live within commuting distance to London, where only one day per week is required to meet and work with the other Quality Team members.
Responsibilities & Required Knowledge:
- Experience in both manual, automated, and AI-based testing.
- Design, manage, and execute comprehensive test strategies tailored to AI-based systems.
- Experience with defect tracking and management tools.
- Familiarity with AI-assisted software testing methodologies.
- Excellent written and verbal communication skills for documentation and stakeholder engagement.
- Identify and address key challenges in AI testing, including bias, ethics, and transparency.
- Strong problem-solving skills and attention to detail.
- Hands-on experience with machine learning (ML) model implementation and validation.
- Solid grasp of different software development life cycles and AI system testing requirements.
- Strong understanding of software testing techniques, including exploratory testing, metamorphic testing and pairwise analysis.
- Proficiency in test automation frameworks for API and UI testing.
- Implement best practices in AI model validation and software quality assurance.
- Familiarity with performance and load testing tools.
- Optimise test infrastructure and leverage AI-driven testing methodologies.
- Experience with development tools such as GitHub and JIRA.
- Proficiency in programming languages such as Python.
- Collaborate with QA teams, developers, and business stakeholders to align testing practices with organisational goals.
Qualifications & Experience:
- 5 years of experience in software quality assurance.
- Experience working with AI tools and techniques.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong understanding of software quality assurance principles and methodologies.
This role offers an exciting opportunity to work at the forefront of AI technology, ensuring the quality and reliability of intelligent systems that drive innovation and impact.
AI Tester in London employer: Optimal
Join a leading financial services company that values innovation and integrity, offering a collaborative work culture where your contributions directly impact the quality of cutting-edge AI technologies. With opportunities for professional growth and development, as well as a flexible work arrangement requiring only one day in the London office, this role is perfect for those seeking meaningful employment in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tester in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI testing. Get comfy explaining your experience with manual and automated testing, and be ready to discuss how you've tackled challenges in AI projects.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your testing projects, especially those involving AI. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Tester in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in AI testing and quality assurance. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your skills align with our needs. Keep it concise but impactful.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of your experience with AI tools, testing methodologies, and any challenges you’ve tackled.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Optimal
✨Know Your AI Testing Fundamentals
Make sure you brush up on your knowledge of AI testing methodologies. Be ready to discuss how you’ve applied manual, automated, and AI-based testing in your previous roles. This will show that you understand the nuances of testing AI systems.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in AI testing, particularly around bias and ethics. Discuss how you identified these issues and what steps you took to address them. This demonstrates your critical thinking and attention to detail.
✨Familiarise Yourself with Tools
Get comfortable with defect tracking tools like JIRA and version control systems like GitHub. Being able to talk about your hands-on experience with these tools will give you an edge and show that you're ready to hit the ground running.
✨Communicate Effectively
Practice articulating your thoughts clearly, especially when discussing technical concepts. Strong written and verbal communication skills are crucial for collaborating with cross-functional teams, so be prepared to demonstrate this during the interview.
