Head of Enterprise AI Engineering – Hybrid London

Head of Enterprise AI Engineering – Hybrid London

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

At a Glance

  • Tasks: Lead and build AI delivery capabilities for enterprise clients while engaging with senior stakeholders.
  • Company: Data Idols, a forward-thinking company at the forefront of AI innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to delivering excellence in AI solutions.
  • Why this job: Shape the future of enterprise AI and make a significant impact on high-profile projects.
  • Qualifications: Proven engineering leadership experience and strong client engagement skills.

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 role combines engineering leadership, technical strategy and client engagement to shape enterprise AI programmes.

You will recruit and develop engineers, set standards, and deliver scalable AI platforms across a portfolio of high-profile customers, working hybrid in London with senior stakeholders to ensure architecture and delivery excellence.

Head of Enterprise AI Engineering – Hybrid London employer: Data Idols

Data Idols is an exceptional employer for those looking to make a significant impact in the tech industry. With a hybrid work model in vibrant London, employees enjoy a collaborative culture that fosters innovation and creativity, alongside ample opportunities for professional growth and development. Join us to tackle complex machine learning challenges while being part of a forward-thinking team dedicated to shaping the future of technology.

Data Idols

Contact Details:

Data Idols Recruitment Team

We think you need these skills to ace Head of Enterprise AI Engineering – Hybrid London

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