The study compares three MT systems—DeepL, eTranslation, and Systran—and two post-editor groups: linguists/translators and NLP experts. Results show significant differences in terminological accuracy and fluency, emphasizing the role of domain knowledge in specialised translation and the variable performance of MT systems in language-specific contexts.