Lead AI Engineer: Vision & Multimodal LLMs on Azure

Lead AI Engineer: Vision & Multimodal LLMs on Azure

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Exposed Solutions

At a Glance

  • Tasks: Lead AI projects in computer vision and multimodal learning on Azure.
  • Company: Exposed Solutions, a forward-thinking AI platform.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Exciting role with potential for significant impact in the AI field.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Strong Python skills and experience with computer vision and Azure AI services.

The predicted salary is between 70000 - 90000 Β£ per year.

Exposed Solutions is seeking a Lead AI Engineer to drive advancements in computer vision and multimodal learning within their growing AI platform. The role involves leading initiatives in machine learning, specifically with a focus on production-ready pipelines in Azure.

Candidates must possess a robust background in Python, hands-on experience with computer vision toolchains, and familiarity with Azure AI services.

All applicants must have the right to work in the UK.

Lead AI Engineer: Vision & Multimodal LLMs on Azure employer: Exposed Solutions

As a Telesales Executive, you will thrive in a dynamic and supportive work environment that values your contributions and fosters professional growth. Our company offers competitive salaries, comprehensive training, and opportunities for advancement, all while promoting a culture of teamwork and respect. Located in a vibrant area, we provide a unique chance to make a meaningful impact in the lives of our customers while enjoying a rewarding career.

Exposed Solutions

Contact Details:

Exposed Solutions Recruitment Team

We think you need these skills to ace Lead AI Engineer: Vision & Multimodal LLMs on Azure

Machine Learning
Computer Vision
Multimodal Learning
Production-Ready Pipelines
Azure AI Services
Python
Hands-On Experience with Computer Vision Toolchains