Director of Enterprise AI Delivery in London

Director of Enterprise AI Delivery in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Data Science Festival

At a Glance

  • Tasks: Lead AI delivery for enterprise clients and shape innovative implementations.
  • Company: Data Idols, a forward-thinking tech company in London.
  • Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
  • Other info: Join a team that values innovation and collaboration.
  • Why this job: Be at the forefront of AI technology and make a significant impact.
  • Qualifications: Proven leadership skills and experience in AI or engineering.

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

Data Idols in London is seeking a Director of Forward Deployed Engineering to build and lead a new AI delivery capability for enterprise clients. This rare role combines leadership, technical strategy, and client engagement to shape AI implementations.

You will recruit top engineers, set engineering standards, develop repeatable delivery frameworks, and drive impact across multiple enterprise programmes while staying close to delivery and architecture.

Director of Enterprise AI Delivery in London employer: Data Science Festival

At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.

Data Science Festival

Contact Details:

Data Science Festival Recruitment Team

We think you need these skills to ace Director of Enterprise AI Delivery in London

Communication Skills
Problem-Solving Skills
Python
SQL
API Integration
Data Engineering
Data Pipeline Development