The Thomson Reuters PhD Research Scientist Intern – Foundational Research, London opportunity offers PhD students and recent graduates the chance to work on advanced artificial intelligence research, including large language models, machine learning, natural language processing, and generative AI.
The position is a full-time hybrid internship based in London, with flexible starting dates throughout the year. Thomson Reuters also lists the same internship opportunity across London, Toronto and Zug. The typical internship duration is four to six months.
About the Thomson Reuters Research Internship
Thomson Reuters Foundational Research is the company’s dedicated core machine-learning research division. The team focuses on advanced algorithms and training techniques for large language models and other areas of AI research.
According to the official vacancy, interns can participate in research involving large-scale language models exceeding 200 billion parameters while working on problems connected to high-stakes domains.
The role combines an academic research environment with industry resources, giving interns opportunities to conduct experiments, develop models, publish research, and contribute to internal AI development.
Research Areas
The internship covers several areas of modern AI research, including:
- Large language model training
- Continued pretraining
- Instruction tuning
- Reinforcement learning
- AI alignment
- Distributed training
- Planning and reasoning
- Agentic pipelines and tool use
- Retrieval-Augmented Generation (RAG)
- Knowledge graphs
- Data-centric machine learning
- Synthetic and hybrid data generation
- Benchmark and evaluation design
- Red-teaming and adversarial testing
- Hallucination detection and factuality
These areas reflect the research team’s focus on developing and evaluating advanced AI systems.
Key Responsibilities
As a PhD Research Scientist Intern, candidates will participate in the research and model-development lifecycle.
Responsibilities include:
- Developing new ML, NLP, information retrieval, and GenAI approaches
- Designing and conducting research experiments
- Writing code and testing models
- Translating research findings into practical deliverables
- Working with researchers and engineers
- Preparing research outputs for academic conferences
- Sharing technical findings through seminars, lectures and conferences
- Contributing to publications and technical assets such as data and models
The role is designed around collaboration between Thomson Reuters researchers, engineers and academic partners.
Qualifications and Requirements
The opportunity is aimed at candidates with a strong academic and research background in a relevant discipline.
Applicants should generally have:
- Current PhD student or recent PhD graduate status
- Research experience in a relevant discipline
- Publications at top-tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL
- Experience with a deep-learning framework such as PyTorch, JAX, or TensorFlow
- Strong written and verbal communication skills
- The ability to develop novel, well-founded research solutions
- An interest in innovative AI research
Preferred experience includes research involving large language models, influential first-author publications, open-source contributions, software or infrastructure engineering, and experience training large-scale models across distributed cloud infrastructure.
Location and Work Arrangement
The advertised position is based in London, United Kingdom, and is listed as a hybrid, full-time opportunity.
Thomson Reuters states that PhD Research Scientist Intern opportunities are also available in Toronto and Zug, with flexible starting dates throughout the year.
Internship Duration
The typical Thomson Reuters Labs internship lasts approximately four to six months. The company indicates that the duration may align with one or two academic semesters or the intern’s availability.
Compensation and Learning Opportunities
Thomson Reuters describes the internship as offering competitive compensation while providing opportunities to develop new skills.
Interns can receive on-the-job coaching and mentorship and work with experienced researchers on advanced AI methods and technologies.
The official vacancy also highlights access to large datasets and significant computing resources, including major cloud computing platforms.
Why This Research Internship Stands Out
The internship combines academic-style research with industry-focused AI development.
Interns can work on research questions involving LLM training, reasoning, evaluation, data-centric machine learning, and other emerging areas of artificial intelligence. The role also provides an opportunity to collaborate with academic institutions and researchers.
For PhD researchers building careers in machine learning, NLP, information retrieval, or generative AI, the position connects research experience with real-world AI development.
How to Apply
Candidates interested in the Thomson Reuters PhD Research Scientist Intern – Foundational Research opportunity should review the official vacancy and submit their application through the Thomson Reuters careers platform.
The vacancy’s requisition ID is JREQ198484.
View the official Thomson Reuters vacancy
Applicants should ensure that their CV clearly presents their PhD research, publications, technical skills, machine-learning experience, and relevant research projects.
Frequently Asked Questions
What is the Thomson Reuters PhD Research Scientist Intern opportunity?
It is a research internship within Thomson Reuters Foundational Research focused on advanced machine learning, NLP, information retrieval, and generative AI.
Where is the Thomson Reuters PhD Research Scientist Internship located?
The vacancy highlighted here is based in London, UK, with hybrid working. Thomson Reuters also lists the opportunity in Toronto and Zug.
How long is the Thomson Reuters research internship?
The typical internship duration is four to six months, although arrangements can depend on academic schedules and availability.
Who can apply for the Thomson Reuters PhD Research Scientist Internship?
The vacancy is intended for PhD students or recent graduates with research experience in a relevant discipline.
Do applicants need AI research publications?
The vacancy highlights publications at top-tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and NAACL among its qualifications.
Which technical skills are relevant?
Experience with deep-learning frameworks such as PyTorch, JAX or TensorFlow is listed. Experience with LLM research, distributed training, cloud platforms and software or infrastructure engineering is also preferred.
Is the Thomson Reuters PhD internship paid?
The official vacancy states that the opportunity provides competitive compensation.
Final Thoughts
The Thomson Reuters PhD Research Scientist Intern – Foundational Research, London opportunity is focused on advanced AI research, with work spanning large language models, machine learning, NLP, GenAI, model evaluation, and related areas.
With a hybrid London-based format, a typical four-to-six-month duration, research publication opportunities, and collaboration with researchers and academic partners, the internship is designed for candidates with substantial research experience in relevant AI fields.
Applicants should check the official Thomson Reuters vacancy for the latest status, eligibility requirements, and application instructions before applying.
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