At a Glance
- Tasks: Lead a team to build and maintain a cutting-edge Generative AI platform.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, RSUs, and a diverse, inclusive work culture.
- Other info: Dynamic environment with opportunities for growth and learning.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Strong Python skills, experience with cloud systems, and a passion for AI.
The predicted salary is between 135000 - 175000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer
Enter: our Generative AI Platform team!
For our customers, using Wise is as simple as sending money from A to B.
Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day.
The Data Products and Insights squad is at the core of systems that store, process, and leverage data, machine learning models, and generative AI capabilities.
Ultimately, this provides real-time insights and innovative ML and AI driven solutions that serve as key drivers for business growth.
Your mission will be to lead the team building and maintaining a platform that enables everyone at Wise to rapidly experiment and bring to production Generative AI based systems, providing tooling, guidance and guardrails so that teams can ensure the safety of our customers and their data.
You will guide the sustainable growth of this critical function, leading other engineering leads and having the opportunity to shape multiple teams across AI enablement and controls.
Your input will directly affect how Wise builds and scales Generative AI capabilities across the company, enabling teams to move with speed and confidence while maintaining reliability, security and operational excellence.
About the role
For our customers, using Wise is as simple as sending money from A to B.
Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day.
The Data Products and Insights squad is at the core of systems that store, process, and leverage data, machine learning models, and generative AI capabilities.
Ultimately, this provides real-time insights and innovative ML and AI driven solutions that serve as key drivers for business growth.
Your mission will be to lead the team building and maintaining a platform that enables everyone at Wise to rapidly experiment and bring to production Generative AI based systems, providing tooling, guidance and guardrails so that teams can ensure the safety of our customers and their data.
You will guide the sustainable growth of this critical function, leading other engineering leads and having the opportunity to shape multiple teams across AI enablement and controls.
Your input will directly affect how Wise builds and scales Generative AI capabilities across the company, enabling teams to move with speed and confidence while maintaining reliability, security and operational excellence.
How we work
We operate with a belief in automation, programmatic implementation, and reusable design.
We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the Platform Tribe.
As we grow, it is imperative to protect our customers’ money and navigate complex regulatory requirements world-wide.
You will have a focus on running and maintaining services and libraries, making sure we have the right observability and service management elements in place, with an eye for high-availability, assessing and reducing engineering load and devising more effective ways for the team to look after its cloud-based platform.
We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use.
We’re looking for an engineer with relevant experience who can understand and respond to complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence.
- What will you be working on
- You are an experienced leader, confident in problem-solving and guiding engineering teams through the complexities of project delivery using both agile and traditional methodologies.
- Great communication skills and the ability to build consensus - you’re comfortable making a case for what you believe we should be doing.
- Experience being a self-starter, self-motivated and collaborative.
- The mindset to solve problems from scratch.
- Comfortable taking ownership of vendor negotiations and explaining costs to the business.
- Willingness to give and take regular feedback - regular feedback is part of our culture.
- What do you need
- We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us.
We value potential and enthusiasm as much as existing expertise.
So if you have some of those listed below and are eager to learn more we do want to hear from you!
- You have a solid engineering background in Python with years of experience putting solutions into production and maintaining them.
- You have high coding standards - understanding of test coverage best practices & the test pyramid concept, and you are well versed in writing effective, scalable and clean code.
- You have experience deploying microservices to cloud based systems.
- You have experience designing and implementing distributed and concurrent systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architectures.
- You have knowledge and experience with LLMs and building LLM based applications.
- Experience with agentic frameworks and designing agentic-based workflows.
- You have experience working with product teams helping to build out their ideas in production.
- You stay on top of the latest developments and trends in the AI industry.
- You know Prompt Engineering best practices.
- You have the ability to take initiative while working collaboratively - identify problems, empathise with stakeholders and collaborators, create plans and implement solutions.
- You are a great communicator with the ability to clearly relay your plans back to the team, mentor junior engineers and seek out feedback for yourself.
- The customer is at the heart of everything you do and this empathy drives the decisions you make.
- Nice to Have
- You have a solid engineering background in Typescript/Javascript, and have worked building performant UI’s and/or using TS/JS AI frameworks.
- Familiar with standard Java stack including Spring Boot.
- Passionate about technology and its relationship with product and user experience.
- Ability to articulate complex and technical concepts to non-technical audiences.
- You are a security and privacy advocate, understanding concepts such as principle of least privilege, and are able to apply basic security principles at infrastructure and application level.
- Experience with Terraform, Git Hub Actions, Infrastructure as Code, AWS or other cloud ecosystems.
- Experience with Docker and Kubernetes and running containerized workloads.
- Knowledge of Semantic Search and RAG based workflows.
- Knowledge or experience with MCP servers.
- Knowledge/interest in payment platforms, foreign exchange & complex systems architecture.
- Be a customer of Wise.
- Interested? Find out more
- How we work – a practical guide
- DEI @ Wise
- Wise Tech Stack (2025 update)
• See what it's like to work at Wise London!
- Our Engineering career map
- Wise Engineering –
- What do we offer
- Starting salary: £135,000 - £175,000 + RSUs
- Wise Benefits
• Come meet us on Thursday
#LI-AB3 #LI-Hybrid
For everyone, everywhere.
We're people building money without borders — without judgement or prejudice, too.
We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise. Jobs.
Keep up to date with life at Wise by following us on Linked In and Instagram.
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Senior Engineering Team Lead - Generative AI Platform in England employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Team Lead - Generative AI Platform in England
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wise or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wise.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Wise.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wise that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Engineering Team Lead - Generative AI Platform in England
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wise.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wise and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Wise
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wise uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.