At a Glance
- Tasks: Lead a dynamic engineering team to build an innovative AI platform.
- Company: Join Flutter UK & Ireland, a leader in AI technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a high-visibility project with excellent career advancement potential.
- Why this job: Shape the future of AI while making a real impact in a critical role.
- Qualifications: Strong background in backend or full stack development and team leadership.
The predicted salary is between 80000 - 100000 £ per year.
This is a critical leadership role within the Flutter UK & Ireland AI Platform initiative. The AI Engineering Team Manager will be responsible for building and leading a high‑performing engineering squad across multiple locations, focused on delivering core components of a multi‑tenant, enterprise‑grade AI platform. This platform will underpin the next generation of AI capabilities across the business — from internal assistants (e.g. Flint) through to advanced agentic systems and domain‑specific AI services.
You will combine hands‑on technical leadership with people leadership, ensuring high‑quality engineering delivery while shaping best practices for building scalable, secure, and production‑ready AI systems on AWS.
Key Responsibilities- Engineering Leadership
- Build, lead, and develop a cross‑functional engineering team (backend / full stack)
- Set engineering standards, patterns, and ways of working aligned to platform‑first principles
- Drive a culture of ownership, quality, and continuous improvement
- Platform Delivery
- Lead the design and delivery of core AI platform services (APIs, orchestration layers, integration services)
- Contribute to the development of a multi‑tenant AI control plane with built‑in governance, security, and observability
- Ensure solutions are scalable, reusable, and aligned to enterprise architecture standards
- Technical Direction
- Provide hands‑on guidance across system design, architecture, and implementation
- Partner with Architecture, Security, and Platform teams to ensure alignment with AWS best practices (incl. Bedrock and cloud‑native services)
- Support design reviews and contribute to Technical Design Authority (TDA) processes
- AI & Emerging Technology
- Enable the team to build AI‑powered services, including LLM integrations, agent frameworks, and retrieval‑based systems
- Ensure responsible AI practices are embedded (guardrails, auditability, data controls)
- Delivery & Collaboration
- Work closely with Product, Business Analysis, and Engagement teams to translate use cases into deliverable outcomes
- Support iterative MVP delivery, balancing speed with long‑term platform integrity
- Collaborate across UK&I and International teams to drive consistency and reuse
- Strong experience as a senior or lead engineer in backend or full stack development
- Proven experience leading engineering teams and delivering complex distributed systems
- Experience building cloud‑native applications on AWS (e.g. Lambda, API Gateway, ECS, DynamoDB, etc.)
- Strong understanding of system design, APIs, and microservices architecture
- Experience working in agile environments with modern engineering practices
- Experience working with AI/ML systems or integrating with LLMs (e.g. Amazon Bedrock or similar)
- Knowledge of multi‑tenant architectures and platform engineering concepts
- Experience with observability, security, and governance in enterprise systems
- Familiarity with event‑driven architectures and data pipelines
- Opportunity to shape and build a greenfield AI platform at enterprise scale
- Direct impact on how AI is delivered across Flutter UK & Ireland
- Work at the intersection of platform engineering, AI, and product innovation
- Build and lead a team in a high‑visibility, strategically critical programme
- Successful build and growth of a high‑performing engineering team
- Delivery of scalable, reusable AI platform components
- Adoption of platform services across multiple teams and use cases
- High standards of engineering quality, security, and reliability
AI Engineering Manager in London employer: Flutter Uk & Ireland
Join Flutter UK & Ireland, the world's largest sports betting and iGaming company, where innovation meets a vibrant work culture. As a Lead Data Scientist, you'll thrive in a collaborative environment that champions personal growth, offering flexible working arrangements, a generous learning fund, and unlimited holiday. With a focus on employee wellbeing and a commitment to diversity, we empower you to drive impactful pricing strategies while enjoying unique benefits like private healthcare and paid volunteering time.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and cloud-native applications. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineering Manager role. Highlight your leadership experience and any relevant projects you've worked on, especially those involving AWS and AI technologies.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention specific achievements that demonstrate your ability to lead engineering teams and deliver complex systems.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Mention your experience with cloud-native applications, system design, and any AI/ML projects you've been involved in. We want to see how you can contribute to our platform!
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be reviewed by the right people, and you'll have a better chance of standing out in the process. Plus, it’s super easy!
How to prepare for a job interview at Flutter Uk & Ireland
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Lambda and API Gateway. Brush up on your knowledge of system design and microservices architecture, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading engineering teams. Think about how you've built a culture of ownership and quality in past roles. Be ready to discuss how you’ve driven continuous improvement and set engineering standards.
✨Understand the AI Landscape
Familiarise yourself with AI and ML systems, particularly any experience you have with LLMs or platforms like Amazon Bedrock. Be prepared to discuss how you can enable your team to build AI-powered services and ensure responsible AI practices.
✨Collaboration is Key
Think about how you’ve worked with cross-functional teams in the past. Be ready to share examples of how you’ve translated use cases into deliverable outcomes and supported iterative MVP delivery while balancing speed and platform integrity.
