Senior Python Software Engineer

Senior Python Software Engineer

Do you want to be the engineer who turns pricing science into systems that actually run in production? As a Senior Software Engineer on the Dynamic Pricing & Revenue Management team, you'll work alongside a Data Scientist and a Data Analyst to build the infrastructure that helps the business price smarter and drive real revenue impact, at genuine scale.

• Bridge Data Science and Production:
  Take pricing and demand models from experimentation to live, reliable production systems.
• Build the Serving Layer:
  Design and maintain the APIs and infrastructure that deploy models into the real world.
• Own the Pipelines:
  Keep data flowing reliably from source to model to output, with monitoring and alerting built in from the start.
• Drive Operational Excellence:
  Implement automated testing, observability, and monitoring across the team's production systems.
• Work Cross-Functionally:
  Partner daily with Data Scientists, Analysts, and Engineering to turn prototypes into production-ready solutions.

You'll join a small, newly formed team inside a much larger engineering organisation, with a clear mission: help drive smarter, data-driven pricing decisions across the business. It's a team that cares about impact, collaboration, and learning together, using modern tooling and genuine AI-native workflows day to day.

• 4 years of experience in Software Engineering, Data Engineering, Dev Ops, or MLOps
• Strong hands-on Python, writing clean, production-quality code
• Experience with CI/CD, Docker, and infrastructure-as-code such as Terraform
• Familiarity with cloud platforms, AWS preferred, and deploying services into production
• Exposure to or interest in ML model deployment, tools like MLflow or Sage Maker are a strong plus
• A proactive, hands-on mindset, someone who spots problems and drives solutions forward
• Genuine appetite for using cutting-edge LLM tools and agents to boost your own and the team's productivity

• Competitive senior-level package and:
• Hybrid working with meaningful in-office collaboration time
• Flexibility to work from other locations internationally for part of the year
• Personal learning budget with a strong AI focus
• Gym discounts and travel perks
• Join a genuinely international team, working on products used at real global scale