AI Tech Lead — Data & AI Platform Mastermind

AI Tech Lead — Data & AI Platform Mastermind

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

  • Tasks: Lead the design and deployment of innovative AI solutions in the Azure ecosystem.
  • Company: Join MARKS&SPENCER, a leader in retail innovation and technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on ethical AI practices.
  • Why this job: Shape the future of AI while mentoring a talented engineering team.
  • Qualifications: Proven experience in AI leadership and strong technical skills.

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

MARKS&SPENCER is seeking a senior Data & AI leader to drive the design, development and deployment of scalable AI solutions within the Azure ecosystem. You will shape the technical roadmap for AI and automation, mentor a high‑performing engineering squad, and partner with stakeholders to scale AI products into production.

The role focuses on governance, security and ethical AI practices, ensuring seamless integration into enterprise platforms and business processes while delivering tangible results.

AI Tech Lead — Data & AI Platform Mastermind employer: MARKS&SPENCER

At MARKS&SPENCER, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As an Engineering Strategy Lead in Greater London, you will benefit from a supportive environment that prioritises professional growth, offers mentorship opportunities, and encourages the adoption of cutting-edge technologies. Join us to be part of a team that values excellence and is committed to making a meaningful impact in the retail sector.

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Contact Details:

MARKS&SPENCER Recruitment Team

We think you need these skills to ace AI Tech Lead — Data & AI Platform Mastermind

AI Solutions Design
Azure Ecosystem
Technical Roadmap Development
Mentoring Engineering Teams
Stakeholder Engagement
AI Product Scaling
Governance in AI