London: Head of AI Engineering & Strategy

London: Head of AI Engineering & Strategy

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI engineering initiatives and shape the future of intelligent automation.
  • Company: Marks & Spencer, a renowned retail giant with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to pushing the boundaries of technology.
  • Why this job: Be at the forefront of AI technology and drive impactful change in a leading company.
  • Qualifications: Proven experience in AI engineering and strategic leadership.

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

Marks & Spencer is seeking a visionary Head of AI Engineering in London to own the enterprise AI engineering capability within the Data & AI function.

You will set the technical direction, build core AI foundations, and enable scalable access to AI services across technology teams.

You will lead the design, build, scaling, and operational excellence of AI systems underpinning intelligent automation and data-driven decision making, ensuring alignment with security and data standards.

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London: Head of AI Engineering & Strategy employer: Recruit4Mum

Recruit4Mum is an excellent employer that prioritises the well-being and development of its employees, offering a supportive work culture in the heart of Chester-le-Street. With benefits such as a bonus scheme, enhanced holiday entitlement, and access to an Employee Assistance helpline, we ensure our team feels valued and empowered. Join us for meaningful work that contributes to a safe and inclusive environment while enjoying opportunities for personal and professional growth.

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Contact Details:

Recruit4Mum Recruitment Team

We think you need these skills to ace London: Head of AI Engineering & Strategy

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