At a Glance
- Tasks: Design and develop innovative cloud and AI solutions for a leading financial institution.
- Company: Join a dynamic team at a top international banking group.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Great career progression and a chance to influence global cloud strategy.
- Why this job: Be at the forefront of AI transformation in FinTech and make a real impact.
- Qualifications: Experience with Azure, Python, and a passion for AI integration.
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. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards.
Your Key Responsibilities
- Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads.
- Innovate with AI: Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails.
- Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns.
- Collaborative Impact: 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: You should hold an Azure certification (AZ-104 or higher) and a Bachelor's degree or equivalent professional experience.
Desirables: Ideally, you will have experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls.
This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist.
Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.
AI Cloud Engineer in London employer: Deerfoot Recruitment Solutions Ltd
Join a forward-thinking international banking group as an AI Cloud Engineer in London, where you'll be part of a dynamic team driving innovation at the intersection of Cloud Infrastructure and Artificial Intelligence. Enjoy a collaborative work culture that values autonomy and creativity, with opportunities for professional growth in a rapidly evolving digital landscape. With a commitment to sustainability and community support, including donations to The Born Free Foundation for every CV sent, this role offers not just a job, but a chance to make a meaningful impact in the FinTech sector.
Contact Detail:
Deerfoot Recruitment Solutions Ltd 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, especially those already working in AI and cloud roles. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Python, and AI integrations. This is your chance to demonstrate your hands-on experience and problem-solving abilities, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud engineering and AI. Practice explaining your thought process and how you tackle challenges. Remember, it’s not just about what you know, but how you communicate it!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
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 is tailored to the AI Cloud Engineer role. Highlight your Azure expertise and any relevant projects you've worked on. We want to see how your experience aligns with the job description!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used Python, Terraform, or Azure in past roles. This helps us see your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about this role and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Deerfoot Recruitment Solutions Ltd
✨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. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your AI Knowledge
Since this role involves AI integration, be prepared to discuss your familiarity with Azure OpenAI and how you've operationalised responsible AI controls in past projects. Bring examples of bespoke components you've developed using the OpenAI SDK or GPT models to the table.
✨Demonstrate Your Automation Skills
Highlight your experience with CI/CD pipelines and automation frameworks. Talk about specific instances where you've driven automation through Infrastructure-as-Code and how it improved efficiency. This will show them you’re not just a coder, but a problem-solver.
✨Be Ready for Collaborative Scenarios
Expect questions about how you handle ambiguity and collaborate across teams. Prepare to share examples of how you've worked autonomously while still contributing to team goals, especially in enhancing platform stability and cost efficiency. They want to see you as a team player who can also take the lead when needed.
