£300 Per day
Outside
Undetermined
Cambridge, England, United Kingdom
Summary: The AI Test Engineer role involves designing, executing, and automating test strategies for AI/ML systems to ensure their reliability, scalability, and accuracy. The position requires a blend of QA expertise and an understanding of AI/ML workflows, with a focus on developing robust test frameworks and validating models. The role is contract-based for a duration of 6 months and is classified as outside IR35.
Key Responsibilities:
- Design and implement test plans for AI/ML applications, APIs, and pipelines.
- Validate machine learning models, ensuring accuracy, fairness, and robustness.
- Develop automated testing frameworks for data pipelines, model training, and inference.
- Perform functional, integration, regression, and performance testing on AI systems.
- Work closely with Data Scientists and AI Engineers to identify and resolve issues.
- Ensure compliance with data security, privacy, and governance standards.
- Monitor production AI systems and set up alerts for anomalies or performance drops.
Key Skills:
- 8+ years of experience in QA.
- Proven experience as a Test Engineer / QA Engineer in a similar role with strong experience in AI/ML projects.
- Strong programming skills in Python (pytest, unittest, or other test frameworks).
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
- Strong problem-solving skills and ability to communicate technical issues clearly.
Salary (Rate): £300 per day
City: Cambridge
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Applicants must be eligible to work in the specified location, not able to sponsor a work visa now or in future for this position.
Job Title: AI Test Engineer
Day Rate: £300 per day (Outside IR35)
Location: Cambridge
Contract: 6-month rolling
About the Role: We are looking for a detail-oriented AI Test Engineer to design, execute, and automate test strategies for AI/ML systems. You will ensure the reliability, scalability, and accuracy of AI solutions by developing robust test frameworks, validating models, and monitoring performance in production. This role requires both QA expertise and an understanding of AI/ML workflows.
Required Skills & Experience: 8+ yrs of experience into QA Proven experience as a Test Engineer / QA Engineer in a similar role with strong experience to AI/ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly.
Key Responsibilities:
- Design and implement test plans for AI/ML applications, APIs, and pipelines.
- Validate machine learning models, ensuring accuracy, fairness, and robustness.
- Develop automated testing frameworks for data pipelines, model training, and inference.
- Perform functional, integration, regression, and performance testing on AI systems.
- Work closely with Data Scientists and AI Engineers to identify and resolve issues.
- Ensure compliance with data security, privacy, and governance standards.
- Monitor production AI systems and set up alerts for anomalies or performance drops.