Senior Machine Learning Engineer III

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Senior level
Information Technology • Legal Tech • Analytics
The Role
Design, train, and evaluate machine learning algorithms on high-dimensional data to produce practical predictive models. Improve NLP and machine perception using random forests, deep learning, and generative modeling; iterate experiments and translate findings into deployable applications.
Summary Generated by Built In

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, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information‑based analytics and decision tools for professional and business customers. Our company has been a long‑time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi‑model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role
In this role, you will design, study, and train machine learning algorithms that learn from complex, high‑dimensional data. You will focus on transforming patterns discovered in data into practical, usable predictive models and applications. Your work will contribute directly to advancing natural language processing and machine perception capabilities.

Responsibilities

  • Construct and train machine learning algorithms using complex, high‑dimensional datasets
  • Study data patterns to develop practical predictive models and applications
  • Apply techniques such as random forests, deep learning, and generative modeling
  • Improve the predictive performance of natural language processing algorithms
  • Enhance machine perception models through experimentation and iteration
  • Evaluate and refine models to support real‑world use cases

Requirements

  • Experience developing machine learning algorithms for complex data
  • Knowledge of high‑dimensional data analysis and modeling
  • Hands‑on experience with techniques such as random forests and deep learning
  • Familiarity with generative modeling approaches
  • Understanding of neural network architectures and memory concepts
  • Ability to translate analytical findings into usable models and applications

Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Working Pattern
Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for You
We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Private Medical/Dental Plan
  • Savings Fund
  • Life Insurance
  • Meal/Grocery Voucher

About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision‑making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Skills Required

  • Experience developing machine learning algorithms for complex data
  • Knowledge of high-dimensional data analysis and modeling
  • Hands-on experience with random forests and deep learning
  • Familiarity with generative modeling approaches
  • Understanding of neural network architectures and memory concepts
  • Ability to translate analytical findings into usable models and applications

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

RELX Insights

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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