Model Research Scientist - Agentic AI & Multimodal (Hybrid)

Model Research Scientist - Agentic AI & Multimodal (Hybrid)

Full-Time 59400 - 72600 Β£ / year (est.) Home office (partial)
H

At a Glance

  • Tasks: Develop and train advanced AI models in a collaborative environment.
  • Company: Cutting-edge AI startup focused on responsible advancements.
  • Benefits: Competitive salary, hybrid work model, and continuous learning opportunities.
  • Other info: Join a dynamic team in London with a focus on pushing AI boundaries.
  • Why this job: Shape the future of AI while working with innovative technologies.
  • Qualifications: Experience in AI model development and a passion for collaboration.

The predicted salary is between 59400 - 72600 Β£ per year.

A cutting-edge AI startup is seeking talented individuals to develop and train advanced large language models (LLMs) and vision-language models (VLMs).

Join a highly collaborative team dedicated to pushing the boundaries of AI with a focus on responsible advancements.

The role offers a hybrid work model in London, requiring presence in the office three days a week.

Competitive salary and opportunities for continuous learning are provided.

If you're ready to shape the future of AI, apply now! #J-18808-Ljbffr

Model Research Scientist - Agentic AI & Multimodal (Hybrid) employer: H Company

H Company is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, comprehensive growth opportunities, and the chance to work on groundbreaking AI projects that make a real impact. With a hybrid work model, team members enjoy the flexibility of remote work while still engaging with their colleagues in a stimulating office environment three days a week.

H

Contact Details:

H Company Recruitment Team

We think you need these skills to ace Model Research Scientist - Agentic AI & Multimodal (Hybrid)

Large Language Models (LLMs)
Vision-Language Models (VLMs)
AI Development
Collaboration Skills
Continuous Learning
Hybrid Work Adaptability
Responsible AI Practices