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LLM Agent Research Lead - Foundational AI

Thomson Reuters

Greater London

Hybrid

GBP 80,000 - 120,000

Full time

Today
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Job summary

A leading research and technology firm is seeking a Research Scientist Manager to lead a global team in advancing AI systems and machine learning research. The ideal candidate will have a PhD, significant experience in ML/NLP, and a strong publication record in top-tier conferences. Responsibilities include strategic planning, innovation in AI approaches, and collaboration with academic partners. A competitive compensation package and opportunities for career growth are offered in a flexible hybrid work environment.

Benefits

Competitive compensation
Flexible work arrangements
Learning and development opportunities
Comprehensive benefits packages
Social Impact initiatives

Qualifications

  • 3+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
  • Strong publication record in top-tier conferences focusing on agent systems and multi-agent coordination.
  • Familiarity with deep learning frameworks and experience in managing research projects.

Responsibilities

  • Lead strategic planning and manage foundational research.
  • Innovate new AI/LLM approaches to tackle real-world challenges.
  • Collaborate with a global team and communicate findings effectively.

Skills

Machine Learning
Natural Language Processing
AI Systems Development
Team Leadership
Communication

Education

PhD in a relevant discipline

Tools

PyTorch
TensorFlow
JAX
Job description
A leading research and technology firm is seeking a Research Scientist Manager to lead a global team in advancing AI systems and machine learning research. The ideal candidate will have a PhD, significant experience in ML/NLP, and a strong publication record in top-tier conferences. Responsibilities include strategic planning, innovation in AI approaches, and collaboration with academic partners. A competitive compensation package and opportunities for career growth are offered in a flexible hybrid work environment.
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