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Financial Services — UK

Revolut's powerhouse of products help our 70+ 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™

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Revolut

Software Engineer (Python) - AutoDL

Cyprus · Czech Republic · Poland · Portugal · Serbia · Spain · Sweden · UAE · UK

Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.

We're looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems.

As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today.

Up to shape what's next in finance? Let's get in touch.

Responsibilities

  • Improving GPU utilisation and performance across large-scale workloads
  • Ensuring low-latency, high-throughput predictions in production environments
  • Designing, building, and maintaining scalable services that support the AI lifecycle
  • Building the core infrastructure behind AutoDL, enabling automated training and deployment of ML models
  • Developing infrastructure and APIs that integrate third-party services and grow with the business
  • Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models
  • Establishing the backbone for AI governance and reproducibility
  • Designing systems for real-time inference on high-load ML use cases
  • Building scalable pipelines for event-driven data (e.g., behavioural, transactional streams)

Requirements

  • Experience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architectures
  • Hands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models)
  • A degree in a STEM subject or equivalent
  • A solid foundation in computer science principles
  • A track record of designing and operating scalable backend systems in production environments
  • Proficiency in Python as your primary language, with command of additional programming languages
  • Expertise in distributed systems and modern infrastructure practices, like containerisation and orchestration
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