LexisNexis Legal & Professional Machine Learning Engineer interview questions
based on 2 ratings - Updated Apr 29, 2026
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100%
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LexisNexis Legal & Professional interviews FAQs
Machine Learning Engineer applicants have rated the interview process at LexisNexis Legal & Professional with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 56.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at LexisNexis Legal & Professional overall takes an average of 26 days.
Common stages of the interview process at LexisNexis Legal & Professional as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 33%
Background check: 33%
Skills test: 33%
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Entrevista de conocimientos en rags, prueba de codigo tipo de preguntas rapidas de codigo y entrevista final con gerentes, si vienes preparado para esto es facil, adicional tienes que tener un buen nivel de ingles y son muy amables.
I applied through a recruiter. The process took 2 weeks. I interviewed at LexisNexis Legal & Professional (Johannesburg) in Jun 2024
Interview
2 technical interviews with team lead and some Data Engineers from the team. Second round interview was based on my tech stack tool I use everyday- getting into detail on how i used tools like docker & aws
Interview questions [1]
Question 1
They asked me how i would create a custom tokenizer for law data