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- Tasks: Design and develop innovative cloud and AI solutions using Azure, Oracle Cloud, and AWS.
- Company: Join a leading bank at the forefront of technology and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a transformative team shaping the future of AI in banking.
- Qualifications: Hands-on experience with Azure, Python, and cloud engineering required.
- Other info: Dynamic role with a focus on automation and responsible AI practices.
The predicted salary is between 36000 - 60000 £ per year.
This is a hands-on engineering role at the intersection of cloud platforms, software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, Oracle Cloud, and later AWS, applying strong engineering discipline to deliver secure, scalable and sustainable patterns for the bank.
KEY RESPONSIBILITIES
- Design and implement cloud and AI-ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded).
- Develop bespoke automation, integration, and AI-driven components to support business requirements.
- Build and maintain REST APIs, integration services, and identity-aware solution patterns.
- Deliver operational (BAU) and project support for cloud and AI workloads.
- Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency.
- Drive automation, Infrastructure-as-Code, CI/CD, and modern engineering practices.
- Implement governance controls and guardrails for responsible, regulatory-compliant AI use.
- Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.
Essential Experience
- Deep hands-on Azure engineering experience, including Infrastructure-as-Code (Bicep/ARM/Terraform).
- Strong proficiency in Python and PowerShell for automation, integration, and AI workflows.
- Real-world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ID).
- Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
- Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.
- Strong knowledge of IAM, security patterns, governance, and compliance requirements.
Preferred Experience
- Experience with Azure API Management or similar API gateways.
- Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments.
- Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks.
Key Skills (Prioritised)
- Cloud Platforms Expertise: Azure (general engineering PaaS services), Entra ID (identity architecture, authentication flows)
- AI/ML & Generative AI: Azure OpenAI (deployment, integration, governance), OpenAI SDK, GPT models, embeddings and vector workflows, prompt engineering with governance and safety controls
- Programming & Scripting: Python (essential), PowerShell
- Governance & Compliance: Designing AI guardrails for regulated environments, security and compliance awareness in financial services, ability to operationalise Responsible AI controls
- API Development & Integration: REST API development and integration, API Management / API Gateway patterns, OAuth2, client credential flows, identity-driven service design
AI Cloud Engineer in London employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Cloud Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud and AI projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, especially around Azure and Python. Practice common interview questions and be ready to discuss how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace AI Cloud Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Azure, Python, and AI solutions. We want to see how your skills align with the role of an AI Cloud Engineer, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: When detailing your experience, focus on your hands-on work with cloud platforms and automation tools. Mention specific technologies like Infrastructure-as-Code and REST APIs, as these are key to what we’re looking for at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance. Remember, clarity is key in technical roles!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure that your application gets to the right people and stands out in our system. Plus, it’s super easy!
How to prepare for a job interview at mthree
✨Know Your Cloud Platforms Inside Out
Make sure you brush up on your Azure, Oracle Cloud, and AWS knowledge. Be ready to discuss specific projects where you've designed or implemented cloud solutions, especially using Infrastructure-as-Code tools like Bicep or Terraform. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Coding Skills
Since Python and PowerShell are essential for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing scripts that automate tasks or integrate services. Having examples of your work ready can really set you apart.
✨Understand AI Governance and Compliance
Familiarise yourself with AI governance and compliance requirements, especially in regulated environments like banking. Be prepared to discuss how you've implemented responsible AI practices in past projects. This shows you understand the importance of security and compliance in AI solutions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to collaborate across teams. Think about past experiences where you enhanced platform stability or drove automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
