Top Tech Jobs & Startup Jobs in London

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Develop and maintain Digital Workplace tools, working closely with teams, performing testing, debugging, and technical research. Requires web development experience and familiarity with modern software architectures.

Leads PUMA’s eCommerce studio and creative direction for on-model imagery. Oversees shoot scheduling, sample management, production workflows, equipment readiness, peak-season staffing, and cross-functional briefing. Maintains visual quality and brand consistency, supports AI-assisted content integration, manages studio budgets, and develops a high-performing production team working across global and regional functions.

Support 3D designers and manage virtual product creation and eCommerce product data. Coordinate and implement PLM/eCommerce projects, gather business requirements, maintain and develop product data applications, provide training and documentation, and produce reports and analyses.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Lead technical design and delivery of personalization and recommendation backend services: architecture, model serving, low-latency APIs, event-driven integrations, LLM/AI integration, observability, performance optimization, and technical mentorship across teams to enable real-time, data-driven consumer experiences.

Perform various testing operations including UI, functional, and regression tests. Create test scenarios, document defects, and provide support for PLM applications.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.