Top Tech Jobs & Startup Jobs in London

Lead and grow a distributed team of engineers building Spotify’s experimentation SaaS platform. Responsibilities include hiring, coaching, career development, delivery quality, product prioritization, technical strategy, collaboration with product managers and Staff Engineers, and occasional hands-on engineering. The role is based in Stockholm with hybrid flexibility.

Architect, develop, and operate scalable Java backend services supporting subscription conversion, retention, upsells, and personalized user journeys. Design cloud-native systems, data models, and APIs on Google Cloud Platform; collaborate with product, marketing, growth, and engineering teams; mentor colleagues; and lead complex platform initiatives involving automation, content management, machine learning, and high-volume distributed services.

Build and support large-scale data infrastructure and datasets for Spotify’s user behavior data. Design data architectures, develop collection and processing systems, and improve reliability, scalability, and usability. The role supports personalization, recommendation systems, and internal data teams while requiring collaboration across product and engineering disciplines.

Design and ship machine learning models for optimizing messaging on multiple channels, focusing on long-term user outcomes and experimentation.

Join the Baldur squad to design and build Spotify's delegated authorization and session management systems. Develop secure, cross-platform C++ libraries and native iOS Swift components for token issuance, refresh, revocation, and on-device credential storage, collaborating with client and backend teams to scale OAuth 2.0 infrastructure used by millions.

Lead a six-person engineering team owning event delivery and data pseudonymisation platforms. Set technical direction, ensure reliable delivery and on-call health, partner with product and stakeholders on roadmap, drive architecture, hire and grow engineers, and foster a culture of ownership and inclusion.

Lead technical strategy, architecture, and development of systems that enable partner and platform experiences across devices and integrations. Drive cross-team initiatives to reduce duplication, unify foundations, and set standards. Collaborate with product, design, and infrastructure to align technical direction, and pioneer AI-native workflows to improve how teams build and deliver reliable, personalized user experiences at scale.

The Senior Staff Machine Learning Engineer will define and implement ML strategies for content safety and compliance, build scalable systems, and ensure high-quality content evaluation.

Build and evolve Groove, a fullstack platform using React, TypeScript, Java, GraphQL, PostgreSQL, and GKE. Deliver features for planning, tracking, and dependencies, ensure production reliability, participate in on-call rotations, mentor engineers, and lead end-to-end design and architecture for scalable systems.