Automation Engineering Apprentice

Amazon

Ever wondered what it’s like to orchestrate a symphony of robots? Imagine being at the controls of one of the world’s most sophisticated automated networks, where thousands of robots dance in perfect harmony, artificial intelligence makes split-second decisions, and breakthrough technology comes to life.

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

As an Automation Apprentice within our Reliability Maintenance Engineering (RME) team, you’ll be hands-on with technology that most people only read about. You’ll work alongside industry experts who are pushing the boundaries of what’s possible in automation. This isn’t just maintenance – it’s about being part of a team that innovates, improves, and reimagines automation technology every single day. 

What Makes This Opportunity Unique?

  • Work with Amazon exclusive technology you won’t find anywhere else
  • Experience automation at a scale that’s transforming global logistics
  • Be part of teams developing and implementing next-generation robotics
  • Learn from engineers who are industry pioneers
  • See your ideas come to life in real-world applications
  • Shape the future of automation technology

 

Key job responsibilities

  • Supporting maintenance and fault-finding on automated systems and robotics
  • Using diagnostic tools to keep conveyors and sortation equipment running smoothly
  • Planning preventative maintenance and safety checks
  • Collaborating with engineers to develop new process improvements and energy-efficient solutions

 

Throughout your apprenticeship, you’ll gain both theoretical knowledge and hands-on experience with:

  • Advanced robotics systems and controls
  • Industrial automation programming
  • Smart sensor technology and IoT integration
  • Predictive maintenance systems
  • Data analytics and performance optimization
  • Safety systems for human-robot collaboration
  • Industry 4.0 technologies
  • Machine learning applications in automation

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