AIML–Driven Test Automation Data Engineer

Dns Info Ltd; Bournemouth; On-site; GBP 60,000 - 80,000; Full time

Job summary

A consulting firm is seeking a candidate to develop and implement AIML solutions for test automation in the securities domain. Responsibilities include generating test cases using generative AI, managing defect workflows, and implementing code coverage analysis. The ideal applicant will have expertise in AIML, Python, and experience with tools like Docker, Kubernetes, and React. This onsite position requires strong communication skills and an understanding of QA processes.

Qualifications

• Proficiency in AIML technologies and Python required.
• Experience in developing and implementing AIML solutions for test automation.
• Hands-on experience with deployment tools like Docker and Kubernetes.

Responsibilities

• Develop and implement AIML solutions for test automation.
• Manage defect triage and reporting workflows.
• Implement code coverage analysis for testing frameworks.

Skills

Proficiency in AIML (LLMs, generative AI, agentic AI)

Python

Experience with large language models such as GPT and Claude

Hands-on experience with GitHub Copilot

Experience with Docker

Experience with Kubernetes for deployment

Front-end experience in React

Experience with libraries: NLTK, NumPy, Scikit-learn, Pandas

Good grasp of SQL

Experience working in an Agile environment

Education

Bachelor’s degree in Computer Science or related field

Job description

A consulting firm is seeking a candidate to develop and implement AIML solutions for test automation in the securities domain. Responsibilities include generating test cases using generative AI, managing defect workflows, and implementing code coverage analysis. The ideal applicant will have expertise in AIML, Python, and experience with tools like Docker, Kubernetes, and React. This onsite position requires strong communication skills and an understanding of QA processes.