QA Engineer, AI Platform

Google DeepMind; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A top-tier AI research company in London is seeking a qualified Quality Assurance Engineer. You will work in a collaborative team environment, designing and maintaining automation frameworks while ensuring the quality and reliability of AI systems. Candidates should have experience in QA, strong programming skills, and a passion for quality improvement. The role provides a dynamic environment with opportunities to impact AI research and development.

Qualifications

• Proven experience as a QA Engineer or similar technical quality role.
• Hands-on experience designing and implementing test automation frameworks.
• Strong programming skills in at least one language.
• Excellent communication skills with cross-functional teams.

Responsibilities

• Collaborate to define quality and testing strategies.
• Maintain robust test automation frameworks.
• Integrate tests into CI/CD pipelines.
• Perform exploratory and usability testing.
• Document and track bugs through to resolution.
• Report on key quality metrics.

Skills

Communication skills

Quality Assurance experience

Programming skills (Python, C++, C#, Java)

Test automation frameworks experience

Experience with CI/CD systems

Tool building and process improvement

Problem-solving skills

Tools

Pytest

Selenium

Google Cloud Build

Git

Docker

Kubernetes

Job description

You are a Quality Assurance Engineer with a real passion for ensuring quality and a dedicated, can-do, attitude to overcoming technical and process challenges. To succeed in this role, you will have professional experience in quality assurance, including a strong foundation in building and maintaining automated testing frameworks. You will possess a solid understanding of software development lifecycles, and have hands‑on experience developing quality‑focused tools and infrastructure to ensure the delivery of high‑quality, robust solutions.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine‑learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Our Engineering and Research teams build a wide range of products and platforms—from internal tools that accelerate our research, to cutting‑edge AI systems that are deployed to millions of users. Quality is paramount to our success, and our QA Engineers are critical partners in the development process, ensuring our technology is robust, reliable, and ready for real‑world impact.

The Role

As a QA Engineer, you will join a highly collaborative team of QA experts. This role is vital in ensuring the quality and reliability of our systems, directly impacting cutting‑edge AI research and development. Your technical abilities and expertise in quality assurance will be crucial in developing quality‑focused tools and infrastructure, and in collaborating with development teams to ensure the delivery of high‑quality, robust solutions.

Key responsibilities:

• Collaborate with engineers, product managers, and researchers to understand requirements and define comprehensive quality and testing strategies.
• Design, develop, and maintain robust and scalable test automation frameworks for UI, API, and system-level testing.
• Integrate automated tests into CI/CD pipelines to provide continuous feedback to development teams.
• Perform manual testing for exploratory, usability, and edge‑case scenarios where appropriate.
• Identify, document, and track bugs through to resolution, and run bug triage meetings.
• Define and report on key quality metrics to provide a clear picture of product health and release readiness.

About You

In order to set you up for success as a QA Engineer at Google DeepMind, we look for the following skills and experience:

• Excellent communication skills and the ability to work effectively with diverse, cross‑functional teams.
• Proven experience as a QA Engineer, Software Development Engineer in Test (SDET), or similar technical quality role.
• Strong programming skills in at least one language (e.g., Python, C++, C#, or Java).
• Hands‑on experience designing and implementing test automation frameworks (e.g., Pytest, Selenium, Playwright, XCUITest).
• Experience with CI/CD systems (e.g., Jenkins, Google Cloud Build) and version control (e.g., Git).
• A real passion for building tools and improving processes to enhance QA workflow and developer productivity.
• The ability to thrive and adapt in a rapidly changing, highly‑agile research and development environment.
• Are proactive in identifying critical problems and generating and driving solutions.

In addition, the following would be an advantage:

• Experience with cloud platforms (GCP, AWS, Azure).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Experience with performance, load, or security testing.
• Familiarity with machine learning concepts or experience testing AI/ML systems.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.