At a Glance
- Tasks: Design and implement cloud and AI solutions on Azure for a leading banking group.
- Company: Join an innovative international banking institution with a dynamic team.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Exciting chance to enhance digital engineering capabilities in a regulated environment.
- Why this job: Be at the forefront of AI and cloud technology in a pivotal role.
- Qualifications: Azure expertise and strong Python skills are essential.
The predicted salary is between 60000 - 80000 € per year.
London (Hybrid): Onsite 4:1 WFH. Inside IR35 Contract.
We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse.
Key Responsibilities
- Design and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next‑generation workloads.
- Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails.
- Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity‑aware solution patterns.
- Work autonomously to manage ambiguity, collaborating across infrastructure and application teams to enhance platform stability and cost efficiency.
Skills & Experience Required
- Azure expertise: Deep hands‑on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform).
- Software engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2).
- Identity & security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment.
- AI integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls.
Qualifications: Hold an Azure certification (AZ‑104 or higher) and a Bachelor's degree or equivalent professional experience.
Desirables
- Experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls.
AI Cloud Engineer in London employer: Deerfoot Recruitment Solutions Limited
Join a leading international banking group as an AI Cloud Engineer in London, where you'll be part of a dynamic team at the forefront of digital engineering. Enjoy a hybrid work model that promotes flexibility and work-life balance, alongside opportunities for professional growth in a supportive environment. With a focus on innovation and collaboration, this role offers the chance to make a significant impact in the evolution of banking services through cutting-edge AI and cloud technologies.
Contact Detail:
Deerfoot Recruitment Solutions Limited 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 people 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 or GitHub repository showcasing your projects, especially those related to Azure and AI. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to cloud engineering and AI integration. Practice explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Cloud Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your Azure expertise and any experience with AI integration. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and cloud engineering. Share specific examples of your past work that relate to the role, and let us know why you want to join our team.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with Azure, Infrastructure-as-Code, or AI solutions. This gives us a glimpse into your hands-on experience and creativity.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Deerfoot Recruitment Solutions Limited
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Be ready to discuss your hands-on experience with Azure engineering, PaaS services, and Infrastructure-as-Code tools like Bicep or Terraform. Prepare examples of how you've implemented these technologies in past projects.
✨Showcase Your AI Knowledge
Since this role is all about AI integration, be prepared to talk about your familiarity with Azure OpenAI and how you've used GPT models in your work. Think of specific instances where you've operationalised responsible AI controls and how you ensured governance and safety.
✨Demonstrate Your Automation Skills
Highlight your proficiency in Python and PowerShell during the interview. Discuss how you've built automation frameworks, REST APIs, and identity flows. It’s a good idea to have a couple of concrete examples ready that showcase your ability to drive automation through CI/CD pipelines.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to manage ambiguity and collaborate across teams. Think of scenarios where you've enhanced platform stability or cost efficiency. Being able to articulate your thought process and decision-making will show that you're ready to take on the challenges of this dynamic role.
