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- Tasks: Develop machine learning solutions and collaborate on innovative software projects.
- Company: Global tech leader transforming the legal industry with cutting-edge content.
- Benefits: Hybrid work environment, flexible start dates, and hands-on experience with innovative technologies.
- Why this job: Make a real impact while working with advanced ML and NLP technologies.
- Qualifications: Pursuing a degree in Computer Science or related fields with Python proficiency.
- Other info: Six-month internship with opportunities for growth and learning.
The predicted salary is between 1500 - 1500 £ per month.
A global technology and content provider seeks a Research Engineering Intern to work on software development practices and machine learning solutions. The intern will collaborate with teams to deliver high-quality software and solutions.
Candidates must be pursuing a degree in Computer Science or related areas and have proficiency in Python. This role offers a hybrid work environment and a chance to work on innovative technologies that impact legal professionals worldwide. The internship typically lasts six months with flexible start dates.
Research Engineering Intern: ML, NLP & Cloud in London employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineering Intern: ML, NLP & Cloud in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees in the field. They can give you insider tips on the application process and what the company values most.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML, or NLP. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and algorithms. Use platforms like LeetCode or HackerRank to practice, and don’t forget to review common ML concepts!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Research Engineering Intern: ML, NLP & Cloud in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any relevant projects you've worked on. We want to see how you can apply your knowledge in real-world scenarios, especially in ML and NLP.
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific requirements of the Research Engineering Intern role. We love seeing candidates who are genuinely interested in what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experiences and what you can bring to the team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Thomson Reuters
✨Know Your Tech
Make sure you brush up on your Python skills and any relevant machine learning concepts. Be ready to discuss your experience with software development practices, as well as any projects you've worked on that relate to ML or NLP.
✨Show Your Collaborative Spirit
Since this role involves working with teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any group projects or experiences where you contributed to a team effort, especially in tech-related settings.
✨Research the Company
Take some time to understand the company’s mission and the technologies they use. Knowing how their work impacts legal professionals can help you tailor your answers and show genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship, such as the types of projects you might work on or how the team approaches problem-solving. This shows your enthusiasm and helps you gauge if the role is the right fit for you.