At a Glance
- Tasks: Build AI-driven features like chatbots and personal assistants that impact millions.
- Company: Join Revolut, a fast-growing fintech revolutionising how people manage their money.
- Benefits: Enjoy competitive salary, remote work options, and a vibrant company culture.
- Other info: Collaborative environment with opportunities for career growth and development.
- Why this job: Shape the future of AI with cutting-edge technology and innovative solutions.
- Qualifications: Experience in deep learning and a STEM degree required.
The predicted salary is between 60000 - 80000 £ per year.
About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation. We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide. You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction. Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.
What you’ll be doing
- Building AI-driven features from scratch, like personal assistants, chatbots, copilots, and more
- Developing user-focused and backend features using deep learning
- Delivering impactful, scalable, data-driven AI solutions
- Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
- Integrating cutting-edge AI technologies to drive innovation at Revolut
What you’ll need
- Experience in deep learning within natural language processing area and large language models
- A bachelor's degree in a STEM major (mathematics, computer science, engineering)
- Excellent knowledge of data science (Python, SQL) and production tools
- A deep understanding of probability and statistics fundamentals
- Big-picture thinking to correctly diagnose problems and productionise research
- Excellent communication and collaboration skills to partner with Product Owners and business heads
Nice to have
- A master's or PhD in a quantitative discipline
- Solid experience with additional programming languages, such as Java, Scala, C++
- Experience at a large tech company worth >$15B
- School/university Olympic medal competitions in physics, maths, economics, or programming
Artificial Intelligence Engineer in London employer: We Love Alfa
Revolut is an exceptional employer that prioritises employee experience and growth, having been certified as a Great Place to Work. With a dynamic work culture that fosters innovation and collaboration, employees are empowered to build transformative AI-driven solutions that impact millions globally. Located in a fast-paced environment, Revolut offers unique opportunities for professional development and the chance to be at the forefront of cutting-edge technology in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Revolut employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those related to natural language processing. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common deep learning problems and be ready to discuss your thought process during the interview.
✨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, it shows you’re genuinely interested in joining the Revolut team.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for artificial intelligence shine through. Talk about projects you've worked on or innovations you've contributed to in the field. We want to see that you’re not just skilled, but genuinely excited about what you do!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight your experience with deep learning and natural language processing, and how it relates to the job at Revolut. We love seeing candidates who take the time to connect their skills with our mission.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate when candidates can communicate complex ideas simply, as this reflects the kind of collaboration we value at Revolut.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Revolut!
How to prepare for a job interview at We Love Alfa
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge, especially in natural language processing and large language models. Be ready to discuss specific projects you've worked on and how they relate to the role at Revolut.
✨Show Off Your Collaboration Skills
Revolut values teamwork, so be prepared to share examples of how you've successfully collaborated with cross-functional teams. Highlight any experiences where you worked closely with Product Owners or Engineers to deliver impactful solutions.
✨Get Familiar with Their Products
Take some time to explore Revolut's products and services. Understanding their offerings will help you tailor your answers and show genuine interest in how you can contribute to their mission of enhancing customer experience.
✨Prepare for Technical Questions
Expect technical questions related to data science tools like Python and SQL. Brush up on your probability and statistics fundamentals, as these are crucial for diagnosing problems and developing scalable AI solutions.
