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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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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

Related Field

  • AI & Machine Learning

Related Subfield

  • 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
▶Apply Now

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