How do I apply for the Research Intern - Machine Learning and Natural Language Processing position at Thomson Reuters and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Research Intern - Machine Learning and Natural Language Processing role?

This position is a full-time, structured as a hybrid role, with an expected duration of 6 months.

What educational background or degree level is required for the Research Intern - Machine Learning and Natural Language Processing at Thomson Reuters?

Candidates are generally expected to be holding or pursuing the following degree levels: PhD, Master.

Does Thomson Reuters provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Research Intern - Machine Learning and Natural Language Processing

Thomson Reuters

Found 2 months ago

Location

London, United Kingdom

Duration (Months)

6 Months

Time

Full-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

PhD
Master

Skills & Qualifications

Technical Skills

Machine Learning
Natural Language Processing
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face
GitHub
GitLab
AWS
Azure
Google Cloud

Soft Skills

Communication skills
teamwork

Job Description

As a Research Intern, you'll take ownership of a research project aligned with Thomson Reuters products, working alongside a diverse, interdisciplinary team of global experts. The internship duration at Thomson Reuters Labs is typically six months with a flexible start date aligned with your schedule. What You'll Do - Drive Research: Lead experiments to answer a cutting-edge research questions, designing evaluations and analyzing results - Innovate: Explore novel approaches and emerging technologies that advance TR's product portfolio - Collaborate & Disseminate: Work with experienced research scientists and share your findings through internal presentations and external publications

Requirements

Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field, OR hold an MSc in a relevant discipline with demonstrated research experience (publications, thesis work, or research collaborations)
Strong understanding of NLP and ML methodologies, including experience with Large Language Models
Proven ability to design, implement, and evaluate ML experiments
Proficiency in Python and relevant frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Experience working with unstructured datasets and applying data preprocessing techniques
Data-driven approach to problem-solving and decision-making
Familiarity with version control systems (GitHub, GitLab)
Exposure to cloud platforms (AWS, Azure, or Google Cloud)
Strong communication skills and enthusiasm for teamwork

AI & Machine Learning

Natural Language Processing (NLP)

Nice to Haves

publications
thesis work
research collaborations
unstructured datasets
data preprocessing techniques
Data-driven approach
version control systems
cloud platforms

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