Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative research projects in NLP and ML at Thomson Reuters Labs.
- Company: Join a globally recognised tech leader with a collaborative culture.
- Benefits: Enjoy flexible work, competitive pay, and comprehensive health benefits.
- Other info: Flexible hybrid work model and excellent career growth opportunities.
- Why this job: Make a real-world impact while advancing your research skills in AI.
- Qualifications: Pursuing a PhD or MSc in relevant fields with strong NLP and ML knowledge.
The predicted salary is between 20000 - 30000 £ per year.
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 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.
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.
- 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.
- 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, flexibility, work-life balance, and more.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
Research Intern - Machine Learning and Natural Language Processing in London employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Intern - Machine Learning and Natural Language Processing in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Thomson Reuters Labs on LinkedIn. Ask them about their experiences and any tips they might have for landing the research intern role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by diving deep into NLP and ML topics. Brush up on recent advancements and be ready to discuss how you can contribute to their projects. Show them you're not just passionate but also knowledgeable!
✨Tip Number 3
Don’t forget to showcase your projects! If you've worked on relevant research or experiments, bring them up during your discussions. Having tangible examples of your work can really set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Thomson Reuters team. Let’s get you that internship!
We think you need these skills to ace Research Intern - Machine Learning and Natural Language Processing in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for NLP and ML shine through! We want to see that you're genuinely excited about pushing the boundaries of research and how it can impact real-world applications.
Tailor Your CV: Make sure your CV is tailored to highlight relevant experience in NLP and ML. We love seeing specific projects or research you've worked on, especially if they align with what we do at Thomson Reuters Labs.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your research interests, any innovative ideas you have, and how you envision contributing to our team. Keep it engaging!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Thomson Reuters Labs.
How to prepare for a job interview at Thomson Reuters
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP and ML methodologies. Be ready to discuss your experience with Large Language Models and any relevant projects you've worked on. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences, especially any publications or thesis work. Highlight how you've designed, implemented, and evaluated ML experiments. This is your chance to demonstrate your data-driven approach to problem-solving!
✨Get Technical
Familiarise yourself with the technical tools mentioned in the job description, like Python, PyTorch, and TensorFlow. If you have experience with version control systems like GitHub or cloud platforms like AWS, be sure to mention that too. It’ll show you’re ready to hit the ground running.
✨Be a Team Player
Thomson Reuters Labs values collaboration, so be prepared to discuss how you’ve worked in teams before. Share examples of how you communicated findings or collaborated on projects. This will highlight your enthusiasm for teamwork and your ability to contribute to a diverse group.