About the Team Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About the Role As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio.
You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What would your day-to-day look like Design and implement automated, reusable training pipelines to ensure consistent,



scalable model delivery across the partner portfolio
Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions
An idóneo candidate has 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
Experience in data modelling, soft

📌 Senior Software Engineer (Valencia)
🏢 Hopper
📍 Valencia