Remote AI Vision-Language Research Engineer in London

Remote AI Vision-Language Research Engineer in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Innovate in training and optimising vision-language models with a talented team.
  • Company: Join Tether, a leader in AI innovation within the fintech space.
  • Benefits: Remote-first work environment with competitive salary and growth opportunities.
  • Other info: Collaborative culture focused on cutting-edge research and development.
  • Why this job: Push the boundaries of AI and make a real impact in fintech.
  • Qualifications: Degree in Computer Science or related field with experience in multimodal systems.

The predicted salary is between 60000 - 80000 Β£ per year.

Tether is looking for an AI model team member to innovate in training and optimizing vision-language models. Your responsibilities will include end-to-end research and implementing advanced training techniques while collaborating with a talented team.

We're looking for candidates with a degree in Computer Science or related field and strong experience with multimodal systems. Join us in a remote-first environment to push the boundaries of AI in fintech.

Remote AI Vision-Language Research Engineer in London employer: Tether

Tether is an exceptional employer that fosters a remote-first culture, allowing you to work flexibly while collaborating with a talented team of innovators in the AI field. We prioritise employee growth through continuous learning opportunities and encourage creativity in pushing the boundaries of AI technology within the fintech sector. Join us to be part of a forward-thinking company that values your contributions and supports your professional development.

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Contact Details:

Tether Recruitment Team

We think you need these skills to ace Remote AI Vision-Language Research Engineer in London

AI Model Development
Vision-Language Models
Multimodal Systems
Research Skills
Advanced Training Techniques
Collaboration
Computer Science Knowledge