Online package holiday platform built on real-time pricing and supplier data
loveholidays sells package holidays online from London, running a polyglot backend (Java, Go, Rust, Python) on Kubernetes and Terraform with BigQuery, dbt and Looker for analytics. Its project list centres on real-time pricing, supplier integrations and data-led revenue management, pointing to a yield-optimisation engine at its core. Early Cursor adoption and pains around AI output consistency show AI tooling entering engineering workflows.
loveholidays is a privately held online travel company founded in 2012 and headquartered in London, England. It sells package holidays, hotels and flights to consumers, with a focus on short-haul beach trips. Its search lets travellers filter by experience-driven criteria such as facilities, star rating and temperature rather than starting from a destination. The company employs 201–500 people and is hiring across engineering, support, marketing, sales, data and finance in the United Kingdom and United States.
loveholidays uses Java, Go, Rust, Python, React and TypeScript, runs on Kubernetes with Terraform and Prometheus, and analyses data with BigQuery, dbt, Looker and Tableau. It is adopting Cursor.
Yes, hiring is accelerating across engineering, support, marketing, sales, data and finance, weighted toward senior roles, in the United Kingdom and United States.
Current initiatives include real-time pricing systems, supplier integration systems, a model deployment pipeline, finance automation, a recommendation engine and a data-led revenue management strategy.
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loveholidays's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.