At a Glance
- Tasks: Shape the future of engineering education with a focus on practical skills and AI integration.
- Company: Fast-scaling Technology & AI Institute revolutionising engineer training.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with continuous feedback and career development opportunities.
- Why this job: Make a real impact by mentoring engineers and bridging training with real-world practice.
- Qualifications: Deep cloud experience, DevOps knowledge, and a passion for mentoring others.
The predicted salary is between 80000 - 100000 £ per year.
We are partnered with a fast-scaling Technology & AI Institute reimagining how modern engineers are trained, deployed, and continuously developed across cloud, software engineering, and DevOps disciplines. This is not a traditional instructor role. You’ll start by shaping how the next generation of engineers learn their craft, focusing on how real-world systems are designed, built, and operated in modern organisations. The emphasis is on practical engineering capability: understanding how software is delivered into production, how teams collaborate, and how modern engineering organisations actually function at scale.
Alongside this, you’ll be embedding AI into the way engineers work from day one, from AI-assisted development and automated testing through to intelligent monitoring and AI-supported operations. The goal is to ensure graduates are not just technically competent, but fluent in how modern engineering is increasingly AI-augmented in practice.
Then the role evolves. As engineers move into client environments, you remain closely connected, refining the learning experience based on what succeeds and what breaks in real-world delivery. You act as the bridge between training and practice, ensuring that capability development stays aligned with the realities of production environments. This is not about stepping away from engineering. It is about staying close to how engineering is actually done, while scaling your impact through the people you develop.
The people who tend to thrive in this role are experienced engineers who have worked in modern software delivery environments, understand how teams build and ship products in practice, and naturally gravitate towards mentoring and enabling others. They are less focused on theory and more interested in what actually works in real delivery contexts. You don’t need to come from a formal teaching background. You do need the ability to translate complex engineering experience into clear, structured learning that engineers can apply immediately.
What makes this different is the dual focus: you are both shaping how engineers are developed and staying connected to how they perform in live environments, ensuring continuous feedback between learning and real-world execution. If you’re at a point where you enjoy developing others and shaping engineering capability, but don’t want to move away from modern engineering practice altogether, this offers a way to do both and to have a wider impact than either alone.
Skills & Experience Required
- Deep experience with AWS or Azure and core cloud services (compute, networking, storage, IAM).
- Hands‑on experience with CI/CD, infrastructure as code, and containerised architectures (Docker, Kubernetes, Terraform).
- Strong understanding of DevOps practices including observability, automation, security, and modern release workflows.
- Comfortable mentoring, teaching, or guiding engineers, with exposure to AI‑augmented development and modern cloud tooling.
Cloud & AI Engineering Leader in London employer: Omnis Partners
Join a pioneering Technology & AI Institute that is redefining the training of modern engineers in a dynamic and collaborative environment. With a strong emphasis on practical engineering skills and AI integration, we offer a culture of continuous learning and development, ensuring that our employees not only grow their technical expertise but also have a meaningful impact on the next generation of engineers. Located in a vibrant tech hub, we provide unique opportunities for mentorship and real-world application, making this an exceptional place for those passionate about shaping the future of engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud & AI Engineering Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and AI space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your passion for engineering and AI.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with AWS, Azure, and CI/CD practices. Share projects that demonstrate your ability to mentor others and apply AI in real-world scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on practical engineering scenarios. Be ready to discuss how you've tackled challenges in modern software delivery and how you can translate that into teaching others effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to shape the future of engineering. Your unique blend of experience and mentoring skills could be just what we need!
We think you need these skills to ace Cloud & AI Engineering Leader in London
Some tips for your application 🫡
Show Your Engineering Passion:When you write your application, let your enthusiasm for engineering shine through! We want to see how you've engaged with modern software delivery and AI-augmented practices. Share specific examples of your hands-on experience that align with the role.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your experience with AWS or Azure, CI/CD, and DevOps practices. We love seeing how your skills match what we’re looking for, so don’t hold back!
Be Clear and Structured:We appreciate clarity in applications. Use a structured format to present your experience and skills. This helps us quickly see how you can translate complex engineering concepts into practical learning for others.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Omnis Partners
✨Know Your Cloud Stuff
Make sure you brush up on your AWS or Azure knowledge. Be ready to discuss specific cloud services and how you've used them in real-world scenarios. This role is all about practical experience, so have some examples up your sleeve!
✨Showcase Your Mentoring Skills
Since this position involves guiding engineers, think of times when you've mentored others. Prepare to share how you’ve helped colleagues understand complex concepts or improve their skills, especially in AI-augmented development.
✨Understand DevOps Inside Out
Familiarise yourself with DevOps practices like CI/CD, automation, and observability. Be ready to explain how these practices work together in a modern engineering environment and how you've applied them in your previous roles.
✨Connect Learning with Real-World Application
This role bridges training and practice, so think about how you can translate your engineering experience into structured learning. Prepare to discuss how you would ensure that what engineers learn is directly applicable to their work in live environments.
