Top Tech Jobs & Startup Jobs in London

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.

Design and build the C++ integration layer for TV audio/video playback, integrate with native media frameworks (AVPlayer/ExoPlayer), own buffering/ABR/A-V sync, debug performance across OS and hardware, improve tooling and observability, and collaborate with platform and device teams to raise playback quality.

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.

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

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.

Build and maintain Android client components that capture listening and engagement signals. Write well-tested Kotlin code for data used in royalty reporting, analytics, experimentation, and personalization. Collaborate with Android, iOS, backend, and data teams to improve architecture, reliability, and event-reporting capabilities. Contribute to tooling and AI-assisted workflows while ensuring scale, quality, and maintainability.

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.