ML & NLP Research Intern

Thomson Reuters

Greater London

Ibrido

GBP 10.000 - 15.000

Tempo pieno

3 giorni fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Hybrid work model
Flexible start date
Mentor from researchers

Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Science Intern focused on machine learning and natural language processing. This six-month internship joins a diverse global team across Information Retrieval, NLP, ML, Engineering, and Design, contributing to real-world challenges in legal, tax & accounting, government, and Reuters News.

You will experience the full model development lifecycle—from ideation through testing and deployment—while learning from world-class researchers.

Competenze

  • Enrolled in MSc in ML, NLP, CS or pursuing PhD in a relevant field.
  • Hands-on NLP/ML with exposure to Large Language Models.
  • Proficiency in Python and DL/ML/NLP frameworks.
  • Experience designing experiments with a data-driven mindset.
  • Strong collaboration and communication in diverse, distributed teams.

Mansioni

  • Participate in the full model development lifecycle from ideation to deployment of ML/NLP solutions.
  • Collaborate with a cross-functional global team of ML engineers, NLP specialists, data scientists, and product teams across time zones.
  • Innovate by experimenting with new approaches and staying current with NLP and ML research.

Conoscenze

Python
NLP
ML frameworks
Experimentation
Communication

Formazione

MSc/PhD in ML/NLP/CS

Strumenti

GitHub
AWS
Azure
Google Cloud
PyTorch

Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Science Intern focused on machine learning and natural language processing. This six-month internship joins a diverse global team across Information Retrieval, NLP, ML, Engineering, and Design, contributing to real-world challenges in legal, tax & accounting, government, and Reuters News.

You will experience the full model development lifecycle—from ideation through testing and deployment—while learning from world-class researchers.

Ottieni la revisione del curriculum gratis e riservata.

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