Scott Logic / Altogether Smarter

Having worked on developing Machine Learning skill definitions and L&D pathway recently, in this blog post I have tried to explore the evolving role of test engineers in the era of machine learning, highlighting the key challenges ML brings, strategies for effective model evaluation and finally tried to outline a roadmap for developing the necessary skills to excel in ML model testing.

Embracing diversity and inclusion in workplaces is akin to using a multitude of colourful crayons to create vibrant and innovative solutions. In the dynamic realm of IT consultancy, diverse teams not only outperform homogeneous ones but also drive transformative change, making diversity and inclusion indispensable for success and industry leadership.

Test Engineers play a crucial role in ensuring the quality and reliability of software applications, but their day-to-day activities are rife with practical challenges—challenges that are more or less accepted as part and parcel of the job. In this article, we will explore the common issues that Test Engineers encounter during their work, shedding light on the intricacies of their responsibilities and the importance of addressing these challenges effectively.