AI Engineering Manager - Hybrid London, Lead & Grow

AI Engineering Manager - Hybrid London, Lead & Grow

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Funding Circle Ltd.

At a Glance

  • Tasks: Lead a cross-functional team to deliver innovative AI initiatives and manage model transitions.
  • Company: Join Funding Circle Ltd., a leader in AI and Machine Learning.
  • Benefits: Enjoy medical insurance, flexible benefits, and a hybrid working model.
  • Other info: Great opportunity for career growth in a forward-thinking company.
  • Why this job: Make an impact in AI while leading a talented team in a dynamic environment.
  • Qualifications: Technical background in software or AI engineering with people management experience.

The predicted salary is between 80000 - 100000 Β£ per year.

Funding Circle Ltd. is seeking an Engineering Manager to join their AI and Machine Learning team in London. The role involves managing a cross-functional team to deliver AI initiatives and oversee the transition of AI models into production.

Successful candidates will have a technical background in software or AI engineering, along with proven experience in people management. The position offers a hybrid working model and benefits such as medical insurance and flexible benefits.

AI Engineering Manager - Hybrid London, Lead & Grow employer: Funding Circle Ltd.

Funding Circle Ltd. is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to lead and grow in the AI and Machine Learning field. With a hybrid working model, competitive benefits including medical insurance, and ample opportunities for professional development, employees are empowered to thrive both personally and professionally in the vibrant city of London.

Funding Circle Ltd.

Contact Details:

Funding Circle Ltd. Recruitment Team

We think you need these skills to ace AI Engineering Manager - Hybrid London, Lead & Grow

Communication Skills
Python
Problem-Solving Skills
SQL
Data Engineering
Attention to Detail
ETL/ELT Processes