ML & NLP Research Intern (Hybrid, London)

Reuters; Greater London; Hybride; GBP 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Career development

Internship program

Résumé du poste

Thomson Reuters Labs is seeking a curious Applied Science Intern in London to work on machine learning and NLP across information retrieval challenges. The six-month internship covers the full model lifecycle from ideation to deployment, collaborating with global ML engineers and data scientists.

You will gain hands-on experience with state-of-the-art NLP techniques, large language models, and cloud-based ML tooling while contributing to real-world products across Legal, Tax & Accounting,

Qualifications

• Enrolled in or holding an MSc degree in Machine Learning, Natural Language Processing, Computer Science, or closely related field, or pursuing a PhD in a relevant area.
• Understanding and hands-on experience with NLP and/or ML methods, including exposure to Large Language Models.
• Proficiency in Python and practical experience implementing solutions using DL/ML/NLP frameworks and tools.
• Experience designing, creating, and evaluating experiments related to ML or LLMs with a data-driven mindset.
• Strong communication skills and ability to collaborate in a distributed team.

Responsabilités

• Participate in the full model development lifecycle, building, testing, and delivering ML and NLP solutions addressing real-world business challenges.
• Collaborate with a cross-functional global team of ML engineers, NLP specialists, data scientists, and product teams.
• Innovate by experimenting with new approaches and emerging tech to solve problems in information retrieval, NLP, and ML applications.

Connaissances

NLP

Machine Learning

Python

Deep Learning

Formation

MSc in ML/NLP/CS or related

Outils

GitHub

AWS/Azure/GCP

Description du poste

Thomson Reuters Labs is seeking a curious Applied Science Intern in London to work on machine learning and NLP across information retrieval challenges. The six-month internship covers the full model lifecycle from ideation to deployment, collaborating with global ML engineers and data scientists.

You will gain hands-on experience with state-of-the-art NLP techniques, large language models, and cloud-based ML tooling while contributing to real-world products across Legal, Tax & Accounting,