CloudScaler Ltd
Location
London, E1 8FA
Deadline
6 November 2026
Type
apprenticeship
About Cloudscaler: Cloudscaler supercharge our clients’ cloud transformation. We design, build, operate, and support world-class AWS platforms. We take a structured approach, deploying highly resilient and scalable infrastructure, and applying a control framework that meets the highest regulatory and industry standards. About the role: This is a real engineering role with a real qualification attached. You will join Cloudscaler as an AI Engineer Apprentice on a fully funded Level 6 apprenticeship, delivered with our training partner QA. You will learn to build, deploy, and operate AI and cloud solutions, and you will do it on live work, supported by experienced practitioners. You do not need prior cloud or AI experience. You need passion, aptitude, curiosity, and the drive to become a professional engineer. We will teach you the rest. Over roughly 23 months you will earn a degree-equivalent qualification, gain a stack of industry certifications, and develop the consulting craft that separates a competent engineer from a genuinely useful one. You will finish as a client-ready engineer, embedded in how Cloudscaler works. Responsibilities: Build under supervision: provision and manage AWS resources using Terraform and infrastructure as code, from a written specification. Support live operations: help resolve incidents in the Engine Room, following our ITIL process, and contribute to the knowledge base. Work with AI: help prototype and test AI and machine learning solutions, then move them towards production. Write like a professional: produce architecture decision records (ADRs), post-incident reviews (PIRs), runbooks, and clear status updates. Work commercially: record your time accurately, work in Agile and Kanban rhythms, and take part in stand-ups, reviews, and retrospectives. Use our tools: use Claude in your day-to-day work for drafting, code review, and documentation, and learn when to trust AI output and when to verify it. Who we are looking for: Aptitude: A ST
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
Use these cues to judge how complete and actionable this listing looks.
Use the AI Coach to ask follow-up questions about the employer, selection process, and what to prepare next.
Location
London, E1 8FA
Deadline
6 November 2026
Type
apprenticeship
About Cloudscaler: Cloudscaler supercharge our clients’ cloud transformation. We design, build, operate, and support world-class AWS platforms. We take a structured approach, deploying highly resilient and scalable infrastructure, and applying a control framework that meets the highest regulatory and industry standards. About the role: This is a real engineering role with a real qualification attached. You will join Cloudscaler as an AI Engineer Apprentice on a fully funded Level 6 apprenticeship, delivered with our training partner QA. You will learn to build, deploy, and operate AI and cloud solutions, and you will do it on live work, supported by experienced practitioners. You do not need prior cloud or AI experience. You need passion, aptitude, curiosity, and the drive to become a professional engineer. We will teach you the rest. Over roughly 23 months you will earn a degree-equivalent qualification, gain a stack of industry certifications, and develop the consulting craft that separates a competent engineer from a genuinely useful one. You will finish as a client-ready engineer, embedded in how Cloudscaler works. Responsibilities: Build under supervision: provision and manage AWS resources using Terraform and infrastructure as code, from a written specification. Support live operations: help resolve incidents in the Engine Room, following our ITIL process, and contribute to the knowledge base. Work with AI: help prototype and test AI and machine learning solutions, then move them towards production. Write like a professional: produce architecture decision records (ADRs), post-incident reviews (PIRs), runbooks, and clear status updates. Work commercially: record your time accurately, work in Agile and Kanban rhythms, and take part in stand-ups, reviews, and retrospectives. Use our tools: use Claude in your day-to-day work for drafting, code review, and documentation, and learn when to trust AI output and when to verify it. Who we are looking for: Aptitude: A ST
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
Use these cues to judge how complete and actionable this listing looks.
Use the AI Coach to ask follow-up questions about the employer, selection process, and what to prepare next.