Learning Experience Designer

🤖 Learning Experience Designer – Cloud & Engineering🤖

📍 London / Hybrid

💰 Up to £70k

We’re currently partnered with a globally recognised Consulting firm, supporting their entire transformation to redesign their entire training programmes. We are hiring for a technical Learning Experience Designer to help shape the next generation of Cloud and Software Engineering talent within a modern Technology & AI learning environment.

However, this is not a traditional L&D role.

We are specifically looking for individuals who bring a blend of hands-on software engineering, DevOps, platform engineering, or cloud infrastructure experience plus some kind of training, instructor, curriculum design or educational exposure.

You’ll design AI centric immersive, hands-on learning experiences that replicate modern engineering teams and real-world delivery environments from an SME perspective, rather than a more traditional approach.

Curriculum areas you'll need to update and redesign include:

☁️ Cloud Engineering (AWS / Azure / GCP)

⚙️ DevOps, CI/CD & Infrastructure Automation

💻 Software Engineering workflows & tooling

🤖 AI-assisted software development

🧪 Sandbox labs, simulations & live engineering environments

🧠 AI-enhanced learning experiences

This role is heavily focused on practical engineering capability rather than purely theoretical instructional design - this business is completely reimagining how Graduates are trained and deployed into real-world environments.

You’ll help build modern technical programmes using approaches such as:

• Project-based learning

• Pair programming labs

• Hackathon-style delivery

• Simulation-driven assessments

• Real-world engineering scenarios

• Infrastructure-as-code labs

• AI-assisted coding workflows

AI tooling is a key part of the role.

We’re looking for someone already leveraging tools such as:

• GitHub Copilot

• Cursor

• Claude / Claude Code

• ChatGPT

• AI-assisted content generation

• Automated assessment tooling

• AI-supported learner feedback workflows

Experience required:

✔ Hands-on Cloud, DevOps, Platform Engineering, or Software Engineering experience is essential

✔ Technical training, curriculum or instructional design for technical audiences is also essential

✔ Building hands-on labs or engineering workshops

✔ LMS/LXP platforms and modern e-learning tooling

✔ Technical academies, bootcamps, or graduate engineering programmes

This is an opportunity to help redefine how engineers are trained in the AI era, combining technical credibility with next-generation learning design and AI-powered education practices.

If you enjoy building practical, engineering-first learning experiences and want to shape future engineering talent, we’d love to hear from you.