Research Intern - Machine Learning and Natural Language Processing; PhD

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.

As a Research Intern you will take ownership of a research project aligned with Thomson Reuters products, working alongside a diverse, interdisciplinary team of global experts. The typical internship lasts six months with a flexible start date that aligns with your schedule.

• Drive research: lead experiments to answer cutting‑edge research questions, designing evaluations and analysing results
• Innovate: explore novel approaches and emerging technologies that advance TR’s product portfolio
• Collaborate & disseminate: work with experienced research scientists and share findings through internal presentations and external publications

• Currently enrolled in a PhD programme in Computer Science, Computational Linguistics or a related field with at least one 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, Tensor Flow, Hugging Face, etc.)
• Experience with unstructured data and data‑preprocessing techniques
• Data‑driven problem‑solving mindset
• Familiarity with version control (Git Hub, Git Lab) and cloud platforms (AWS, Azure, or Google Cloud)
• Strong communication skills and enthusiasm for teamwork

This is our wish list, but we understand few candidates will tick 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.

• Hybrid work model – 2‑3 days a week in the office with remote flexibility
• Flexibility & work‑life balance – flexible arrangements, up to 8 weeks of work from anywhere, and supportive policies for personal responsibilities
• Career development – continuous learning programmes and skill‑first growth opportunities
• Industry‑competitive benefits – flexible vacation, two company‑wide mental health days, Headspace app access, retirement savings, tuition reimbursement, incentive programmes and resources for well‑being
• Culture – inclusive, flexible, values‑driven environment with emphasis on customer obsession, competition, quick learning and collaboration
• Social impact – paid volunteer days and ESG initiatives
• Real‑world impact – support for justice, truth and transparency through trusted information and unbiased analysis

The above information in this description is designed to indicate the general nature and level of work performed by employees within this classification. It is not intended as a comprehensive inventory of all duties, responsibilities and qualifications required for this role.

Thomson Reuters is an Equal Employment Opportunity Employer and we do not discriminate on the basis of race, color, sex/gender, pregnancy, gender identity, national origin, religion, sexual orientation, disability, age, marital status, citizenship, veteran status or any other protected classification under applicable law.

We also provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.