AI Delivery Lead — Hybrid London in Swindon

AI Delivery Lead — Hybrid London in Swindon

Swindon Full-Time 63000 - 77000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Lead cross-platform AI delivery and uplift AI literacy across diverse teams.
  • Company: Edenred PayTech, a forward-thinking company in the heart of London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and collaboration.
  • Why this job: Shape the future of AI while making a real impact on business value.
  • Qualifications: Strong technical background and strategic mindset in AI initiatives.

The predicted salary is between 63000 - 77000 £ per year.

Edenred Pay Tech in London is seeking an experienced AI Delivery Lead to manage cross-platform AI delivery across multiple teams within a Hub-and-Spoke model.

You will uplift AI literacy and capability across diverse user groups, ensuring measurable business value and adoption of evolving AI technologies.

With a strong technical base and strategic mindset, you will apply architectural scrutiny to ensure AI initiatives are feasible, safe, and aligned with Edenred's priorities.

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AI Delivery Lead — Hybrid London in Swindon employer: 慨正橡扯

At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.

Contact Details:

慨正橡扯 Recruitment Team

We think you need these skills to ace AI Delivery Lead — Hybrid London in Swindon

AI Literacy
Cross-Platform Delivery
Team Management
Strategic Mindset
Architectural Scrutiny
Feasibility Analysis
Safety Compliance