AI Automation & Productivity Engineer in London

AI Automation & Productivity Engineer in London

London Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Enhance team productivity by implementing AI solutions and streamlining workflows.
  • Company: Conduct Ai, a forward-thinking company in Greater London with a collaborative culture.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Embrace a culture of ownership and collaboration in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real impact through innovative AI technology.
  • Qualifications: At least 2 years of experience in operations or engineering and familiarity with modern AI tools.

The predicted salary is between 50000 - 60000 Β£ per year.

Conduct Ai is seeking an individual in Greater London who will enhance productivity across teams through AI implementations. You will work collaboratively with engineering, sales, and operations, identifying automation opportunities to streamline workflows.

The ideal candidate will possess technical skills with at least 2 years of experience in operations or engineering roles and experience with modern AI tools. Conduct Ai fosters a culture of extreme ownership and collaboration.

AI Automation & Productivity Engineer in London employer: Conduct Ai

Conduct Ai is an exceptional employer located in Greater London, offering a dynamic work environment that champions collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to work with cutting-edge AI technologies. Our culture of extreme ownership empowers individuals to take initiative and drive meaningful change, making it a rewarding place to advance your career.

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Contact Details:

Conduct Ai Recruitment Team

We think you need these skills to ace AI Automation & Productivity Engineer in London

Python
Communication Skills
Problem-Solving Skills
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development