Top Tech Jobs & Startup Jobs in London

Lead the vision, strategy, and roadmap for Spotify’s session management capabilities across apps, devices, and partner integrations. Improve sign-in persistence, device connections, session transfers, authorization, consent, privacy, and account protection. Partner with engineering, design, research, security, client, device, and partnership teams to prioritize improvements, develop reusable APIs and components, measure outcomes, and balance user experience with technical investment.

Build and operate backend services, APIs, data catalogs, lineage systems, and publishing platforms for Spotify’s data ecosystem. Develop batch and streaming pipelines, manage metadata and schemas, ensure data quality and reliability, and own projects from technical design through production rollout. Participate in on-call support, observability, automation, and cross-team collaboration.

Build end-to-end internal products and platform services for Spotify's subscription business, spanning frontend (TypeScript/React/Next.js), backend services (Java), GraphQL/gRPC APIs, and PostgreSQL. Design secure, auditable, SOX-compliant workflows, collaborate on architecture, write well-tested code, and participate in on-call rotations to ensure platform reliability.

Spotify is seeking student candidates for potential machine learning and artificial intelligence internships. Opportunities may involve recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and related personalization technologies. This posting expresses interest rather than representing a specific team or role; Spotify will assess applicants’ backgrounds, interests, and experience to identify suitable opportunities.

Build and scale backend and data systems supporting Spotify’s content intelligence platform. Design distributed infrastructure for high-throughput processing of audio, video, text, and images; own projects from architecture through operation; contribute to RFCs, AI/LLM workflows, production integrations, engineering standards, and on-call support. Collaborate with engineering and technical stakeholders to deliver reliable, scalable, performant, and cost-efficient solutions.

Lead Spotify’s Search Personalization strategy across ranking, relevance, retrieval, AI-native search, quality, and trust. Own the multi-cycle roadmap, guide AI-powered features such as semantic search and LLM reranking, establish search quality frameworks, and balance relevance, latency, cost, and freshness. Lead two search squads, influence architecture decisions, align stakeholders and executives, and mentor junior product managers across Spotify’s search platform.

Conduct original machine learning and AI research focused on foundation models, generative AI, post-training, and reinforcement learning for personalization. Develop novel models, methodologies, and evaluation frameworks; design rigorous experiments using real-world datasets; publish findings; collaborate with product and research partners; shape Spotify’s personalization research agenda; and mentor colleagues.

Develop novel machine learning methods and architectures for generative conversational speech-to-speech models. Conduct research in speech synthesis and recognition, collaborate with engineering and data teams to improve production pipelines, and help scale proven research into Spotify products. The role involves developing state-of-the-art models, evaluating quality and realism, supporting new speech use cases, and sharing research expertise across the team.

Lead Engineering Managers and approximately 50 engineers and technicians across Spotify’s IT Studio. Set engineering strategy, improve technical practices, reliability, security, compliance, privacy, and operational health, and partner with product and business leadership on technical investments. The role oversees enterprise technology spanning identity, endpoint management, networking, workplace platforms, collaboration tools, and AI-enabled productivity.

Lead end-to-end instructional and digital learning experience design across live, digital, blended, and self-directed formats. Partner with subject-matter experts and stakeholders to define needs, objectives, and measurable outcomes. Create interactive learning materials using authoring and design tools, apply learning science and inclusive design principles, manage multiple projects, and evaluate effectiveness through learner feedback and performance data. Explore AI-assisted authoring and adaptive learning approaches.