AI-Driven Electrical Engineer & Python Problem Designer in London

AI-Driven Electrical Engineer & Python Problem Designer in London

London Freelance 36 - 36 Β£ / hour (est.) No working from home possible
Mindrift

At a Glance

  • Tasks: Design and evaluate AI-driven engineering problems using Python for top tech companies.
  • Company: Mindrift, a forward-thinking company at the forefront of technology.
  • Benefits: Earn up to $36 per hour with flexible project-based work.
  • Other info: Join a team that values innovation and offers exciting career growth opportunities.
  • Why this job: Make a real impact by solving complex engineering challenges in a dynamic environment.
  • Qualifications: Degree in Electrical Engineering and strong Python skills required.

The predicted salary is between 36 - 36 Β£ per hour.

Mindrift is looking for specialists to design and evaluate computational engineering problems for leading tech companies. In this project-based role, you will create problems that simulate real workflows and require Python programming for solutions.

The ideal candidate will have:

  • A degree in Electrical Engineering
  • Strong Python skills
  • At least 2 years of professional experience

Compensation is up to $36 per hour based on contribution level.

AI-Driven Electrical Engineer & Python Problem Designer in London employer: Mindrift

At Mindrift, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As an AI-Driven Electrical Engineer & Python Problem Designer, you will have the opportunity to work on cutting-edge projects with leading tech companies, while enjoying competitive compensation and ample opportunities for professional growth in a supportive environment.

Mindrift

Contact Details:

Mindrift Recruitment Team

We think you need these skills to ace AI-Driven Electrical Engineer & Python Problem Designer in London

Python Programming
Electrical Engineering
Problem Design
Computational Engineering
Simulation of Workflows
Project-Based Work
Professional Experience