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Posted:
June 03, 2026
Location:
mexico city, mexico city, Mexico
Job Description
Would you like to apply advanced machine learning techniques to uncover meaningful patterns from complex data? Are you motivated by building practical, high‑impact predictive models used in real‑world applications?
About Our Team
LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees worldwide and is part of RELX. The company is a long‑time leader in deploying AI and advanced technologies to the legal market, using ethical and powerful generative AI solutions that prioritize the best model for each use case. Over 2,000 technologists, data scientists, and experts develop, test, and validate solutions in line with RELX Responsible AI Principles.
About The Role
In this role, you will design, study, and train machine learning algorithms that learn from complex, high‑dimensional data. You will transform patterns discovered in data into practical, usable predictive models and applications, contributing directly to advancing natural l...
About Our Team
LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees worldwide and is part of RELX. The company is a long‑time leader in deploying AI and advanced technologies to the legal market, using ethical and powerful generative AI solutions that prioritize the best model for each use case. Over 2,000 technologists, data scientists, and experts develop, test, and validate solutions in line with RELX Responsible AI Principles.
About The Role
In this role, you will design, study, and train machine learning algorithms that learn from complex, high‑dimensional data. You will transform patterns discovered in data into practical, usable predictive models and applications, contributing directly to advancing natural l...
Apply for this Job
Submit your application for the Senior Machine Learning Engineer III position at LexisNexis.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
mexico city, Mexico
Posted:
June 03, 2026
Deadline:
July 13, 2026