Research Intern - Machine Learning and Natural Language Processing
Thomson ReutersRemotePosted 7 April 2026
Job Description
Are you passionate about pushing the boundaries of NLP and ML research? Thomson Reuters Labs in London is seeking a motivated research intern to lead an independent research project at the intersection of cutting-edge AI and real-world applications.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.
About the Role
The Opportunity
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
About You
The ideal candidate has:
Academic Foundation : 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)
Technical Expertise :
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.)
Research Skills :
Experience working with unstructured datasets and applying data preprocessing techniques
Data-driven approach to problem-solving and decision-making
Practical Experience :
Familiarity with version control systems (GitHub, GitLab)
Exposure to cloud platforms (AWS, Azure, or Google Cloud)
Collaboration : Strong communication skills and enthusiasm for teamwork
We Value Potential
This is our wish list, but we understand few candidates will check every box. If you're excited about this opportunity, meet most of these criteria, and are eager to grow as a researcher, we want to hear from you.
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What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibil ... (truncated, view full listing at source)
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