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New rolePosted 15 June 2026Springpod

Amazon: Beyond The Code AI & Computer Science

A

Amazon

Remote (UK)Virtual Experience

Role overview

About this role

Overview Welcome to the frontline of digital innovation. In this Virtual Work Experience with Amazon Future Engineer, you’ll join Amazon experts as they break down how artificial intelligence, machine learning, and advanced computer networks operate across Amazon’s biggest platforms. You’ll discover how tech professionals push boundaries, train AI models, and build the revolutionary systems that shape our digital world every single day. What’s Included Dive into the mechanics of Amazon’s vast digital infrastructure, exploring how complex ideas become real-world systems. Learn how big data, cloud computing, and AI are constantly evolving to tackle the challenges of tomorrow. Discover the synergy between tech professionals and artificial intelligence in creating seamless experiences for millions of users. Put your new skills to the test through hands-on activities. This tour isn’t just about learning about how Amazon uses AI and computer science. If you are fascinated by artificial intelligence, logical thinking, or designing smarter systems, you'll discover exactly how your interests map to exciting and in-demand tech careers.

Job details

Compensation

Unpaid opportunity

Location

Remote (UK)

Remote available

Posted

15 June 2026

Entry requirements

Requirements not available here

The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.

See entry requirements on employer listing

Remote (UK)

Open in Google Maps for commute planning

Company

Amazon

Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.

TechnologySoftwareDataProduct

Quick actions

Company insight

Applying to Amazon

Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.

  • Talk through one project in terms of problem, trade-offs, result, and what you would improve.
  • Be ready to explain code or data decisions without jargon.
  • Connect technical work to users, reliability, security, or business value.
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