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- Tasks: Build and own the AI platform, managing infrastructure for AI applications.
- Company: Leading UK fintech transforming small business lending with innovative AI solutions.
- Benefits: Competitive salary, 20% bonus, hybrid work model, and career growth opportunities.
- Why this job: Shape the future of AI infrastructure and make a real impact in fintech.
- Qualifications: Strong AWS experience, Python proficiency, and a passion for AI platform engineering.
- Other info: Join a mature AI/ML team and work on cutting-edge technology.
The predicted salary is between 72000 - 84000 £ per year.
Here at Burns Sheehan, we're exclusively partnered with a leading UK fintech that's transforming small business lending - processing billions in decisions annually. They've built a mature AI/ML team over the past 18 months and are now scaling their GenAI capabilities from proof‑of‑concept to production‑ready systems across the business.
They're hiring an experienced Lead Platform Engineer to build and own the AI platform. This will involve the management of all the infrastructure, tooling, and cloud layer that enables data scientists and product teams to develop and deploy AI applications at scale.
What You'll Be Doing:
- Defining and executing the technical strategy for the company's AI platform infrastructure.
- Architecting and building scalable, secure AWS-based systems for hosting and serving AI models and applications.
- Developing tooling, frameworks, and governance systems to standardise AI development across teams.
- Guiding others on best practices across the stack for AI workloads.
- Evaluating and integrating third‑party AI tools alongside making build vs. buy decisions.
- Working with Product, Engineering, Security, and Legal to embed responsible AI practices into the platform.
What They're Looking For:
- Strong background in Platform or Software Engineering with proven AWS cloud platform experience.
- Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation) and cloud‑native development.
- Python scripting proficiency at platform engineer level but an understanding of software development lifecycle and production system ownership.
- Interest or experience in GenAI infrastructure - RAG, vector databases, LLM platforms, or agent frameworks.
- Strong communication skills and ability to translate technical decisions into business outcomes.
This role is NOT an ML Engineering position - you won't be training models or building LLMs. It's focused on the platform layer that makes AI applications possible.
If you're a platform‑focused engineer with AWS experience who's curious about moving deeper into the AI space and wants to shape infrastructure from the ground up - get in touch to find out more.
AI Platform Engineer in London employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions. 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 projects, especially those related to AWS and AI platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. Mock interviews with friends can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace AI Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with AWS, Infrastructure as Code, and any relevant AI projects. 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 platforms and how your background makes you the perfect fit. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you've worked with Terraform or Python, mention specific projects or achievements. We’re keen to see how you’ve applied your knowledge in real-world scenarios.
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 don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS and Infrastructure as Code tools like Terraform or CloudFormation. Brush up on your Python scripting skills too, as you'll need to demonstrate your technical prowess during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles, especially around building scalable systems. Use specific examples that highlight your ability to make technical decisions that lead to positive business outcomes.
✨Understand the Business Context
Since this role involves translating technical decisions into business outcomes, do your homework on the fintech industry and the company’s mission. This will help you articulate how your work can directly impact their goals.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you’ll need to guide others on best practices across the stack for AI workloads.
