Edge AI Engineer: Foundation Models for Geospatial Maps

Edge AI Engineer: Foundation Models for Geospatial Maps

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
European Tech Recruit

At a Glance

  • Tasks: Pioneer innovative AI models for environmental perception and develop cutting-edge map architectures.
  • Company: Join a world-leading technology company in the heart of Edinburgh.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Be at the forefront of AI technology and make a real impact on geospatial mapping.
  • Qualifications: Master’s or PhD in robotics or computer science with experience in foundation models.

The predicted salary is between 50000 - 70000 £ per year.

European Tech Recruit is seeking an AI Engineer to join a world-leading technology company in Edinburgh. In this role, you will pioneer innovative models for environmental perception and develop cutting-edge map architectures driven by edge computing.

The ideal candidate will hold a Master’s or PhD in robotics or computer science, with extensive experience in foundation models and multimodal AI systems. Proficiency in frameworks like TensorRT and CoreML is also essential.

Edge AI Engineer: Foundation Models for Geospatial Maps employer: European Tech Recruit

Join a world-leading technology company in Edinburgh, where innovation meets opportunity. Our collaborative work culture fosters creativity and growth, providing employees with access to cutting-edge projects and professional development resources. With a focus on environmental perception and edge computing, we offer a unique chance to make a meaningful impact while enjoying a vibrant city life and a supportive team environment.

European Tech Recruit

Contact Details:

European Tech Recruit Recruitment Team

We think you need these skills to ace Edge AI Engineer: Foundation Models for Geospatial Maps

Foundation Models
Multimodal AI Systems
Edge Computing
TensorRT
CoreML
Robotics
Computer Science