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Thomson Reuters

Research Intern – Machine Learning, Natural Language Processing

Thomson Reuters

Research Intern at Thomson Reuters Labs exploring NLP and ML research methodologies. Collaborating with global experts to innovate and evaluate real-world applications.

Posted 6/2/2026internshipLondon • 🇬🇧 United KingdomEntry LevelWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Lead experiments to answer cutting-edge research questions, designing evaluations and analyzing results
  • Explore novel approaches and emerging technologies that advance TR's product portfolio
  • Work with experienced research scientists and share findings through internal presentations and external publications

Requirements

What you’ll need
  • Graduate / Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field with demonstrated research experience (at least 1 publication required)
  • 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)

Benefits

Comp & perks
  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
  • Flex My Way: a set of supportive workplace policies designed to help manage personal and professional responsibilities
  • Career Development and Growth: fostering a culture of continuous learning and skill development
  • Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, mental health days off, access to Headspace, retirement savings, tuition reimbursement
  • Social Impact: two paid volunteer days off annually and opportunities for pro-bono consulting projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
NLPML methodologiesLarge Language ModelsPythonPyTorchTensorFlowHugging Facedata preprocessing techniquesexperiment designevaluation of ML experiments
Soft Skills
data-driven problem-solvingdecision-making