Ai Tester - 6 month contract - Inside IR35

Opus Recruitment Solutions; Cambridgeshire and Peterborough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading recruitment agency is seeking an experienced Test Engineer for AI/ML projects in Cambridge. The role involves designing test plans, validating ML models, and developing automated frameworks. Candidates should have over 8 years of QA experience, strong Python skills, and familiarity with AI/ML frameworks. The position offers an inside IR35 contract and a competitive rate of around 400 per day, with 2x weekly office attendance in Cambridge.

Qualifications

• At least 8 years of experience in QA.
• Proven experience with AI/ML projects.
• Familiarity with CI/CD pipelines.

Responsibilities

• Design and implement test plans for AI/ML applications.
• Validate machine learning models for accuracy and fairness.
• Develop automated testing frameworks for data pipelines.

Skills

8+ yrs of experience into QA

Python programming skills

Proven experience as a Test Engineer

Strong problem-solving skills

Tools

TensorFlow

AWS

Azure

GCP

Job description

Overview

Inside IR35 contract • 2 x a week in Cambridge • Around 400 per day

Qualifications

• 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