At a Glance
- Tasks: Design and build cloud infrastructure for AI and ML models at scale.
- Company: Leading UK fintech with a focus on innovative AI solutions.
- Benefits: Up to £115,000 salary, private medical, share schemes, and flexible working.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities.
- Why this job: Shape foundational AI infrastructure and make a real impact in fintech.
- Qualifications: Strong platform engineering background, Kubernetes experience, and LLM application knowledge.
The predicted salary is between 115000 - 115000 £ per year.
We're partnering with a leading UK fintech on a senior hire inside their AI and Machine Learning team. This is a platform-first role. The team is building the foundational AI infrastructure the rest of the business will run on and right now, that's the priority. Think LLM API gateway, model standardisation, cost dashboards, monitoring, quota management, and internal agent tooling. The kind of work that matters more the bigger the organisation gets.
What you'll be working on:
- Designing and building cloud infrastructure for hosting and serving ML and GenAI models at scale
- Owning the LLM gateway — standardising model usage, monitoring, cost control, and quotas across the business
- Building frameworks and tooling that make AI development consistent and governable
- Integrating and evaluating third-party AI tools and agent frameworks
- Shaping Responsible AI practices into the platform from day one
What they're looking for:
- Strong platform and cloud engineering background — AWS preferred, but open on background if the fundamentals are there
- Solid Kubernetes experience (around 80% of the role), with some serverless on top
- Hands-on experience with LLM-based applications — RAG, vector databases, agent frameworks
- Product-minded and commercially aware — this isn't a pure SRE or ops profile
- Comfortable working across Data Science, Engineering, Product, and Security stakeholders
Why it's worth a look:
- Joining at the right time — the platform is being built now, and you'll shape how it evolves
- Real ownership over foundational infrastructure the whole business will depend on
- Fintech scale with public company stability — restless energy, serious backing
- Up to £115,000 + strong benefits including private medical, share schemes, learning allowance, and flexible working
- Hybrid, 2 days in the London office
If you're a platform or cloud engineer looking to move into the AI infrastructure space or already there and want to go deeper this is a strong move.
Senior AI Platform Engineer employer: Wave Group
As a Senior AI Platform Engineer at this leading UK fintech, you'll be part of a dynamic team that is at the forefront of building essential AI infrastructure. The company fosters a collaborative work culture that values innovation and offers substantial growth opportunities, including a competitive salary of up to £115,000, private medical benefits, share schemes, and a flexible hybrid working model. Joining now means you will have a direct impact on shaping the future of AI within the organisation, all while enjoying the stability of a public company.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to cloud infrastructure and AI. This is your chance to demonstrate your hands-on experience with LLM applications and Kubernetes. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AWS, Kubernetes, and responsible AI practices. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to building that foundational AI infrastructure.
✨Tip Number 4
Apply through our website! We’re all about making connections and finding the right fit. Don’t just send your CV; include a personalised cover letter that highlights your passion for AI and platform engineering. Let’s get you in front of the right people!
We think you need these skills to ace Senior AI Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior AI Platform Engineer. Highlight your experience with cloud infrastructure, Kubernetes, and any hands-on work with LLM applications. We want to see how your skills align with what we're building!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention your product-minded approach and how you can contribute to shaping Responsible AI practices.
Showcase Relevant Projects:If you've worked on projects related to AI infrastructure or cloud engineering, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to build scalable solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Wave Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and Kubernetes. Brush up on your experience with LLM-based applications and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in cloud infrastructure or AI development. Think about times when you had to standardise processes or manage costs effectively, as these are key aspects of the role.
✨Understand the Business Impact
This isn’t just a technical role; it’s about making a difference in a fintech environment. Be prepared to discuss how your work can influence product development and stakeholder collaboration, showing that you’re commercially aware and product-minded.
✨Emphasise Responsible AI Practices
Since shaping Responsible AI practices is crucial for this position, come equipped with insights on ethical AI development. Discuss how you’ve integrated responsible practices into your previous work and how you plan to do so in this new role.
