About the role

Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience. 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.

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