Top Tech Jobs & Startup Jobs in London

Lead development of scalable marketing technologies that enable automation, measurement, and personalization. Collaborate with engineering, data science, and analytics to deliver measurement and optimization tools, integrate generative AI into workflows, define product requirements, and conduct market analysis to inform strategy.

Design and build scalable, secure backend services for high-traffic pricing and offers. Lead end-to-end feature delivery, ensure operational excellence (testing, observability, performance), mentor engineers, translate product and regulatory requirements into reusable technical solutions, and safely integrate AI/ML-enabled systems.

Lead end-to-end partner integration projects, configure connectivity solutions, troubleshoot high-priority API issues using SQL and observability tools, validate partner performance, document procedures, coordinate cross-functional stakeholders, and drive process and automation improvements to reduce time-to-live and cost-to-service.

Senior iOS engineer on the Expedia Group Design System team who builds and maintains high-quality, accessible UI patterns and experiences. Leads design reviews, implements complex UI/animations, ensures performance and observability, debugs and monitors production apps, mentors engineers, and uses AI-assisted tools like Claude Code to accelerate delivery.

Senior individual contributor providing analytics and decision support for Localization product. Design and lead A/B and causal experiments, build and deploy production ML/NLP models, and develop scalable SQL/Python analytics pipelines and dashboards. Translate multilingual insights for stakeholders, mentor junior staff, and co-own metric frameworks and ML-enabled solutions.

Lead product direction and build agentic AI systems for autonomous merchandising optimisation: prototype multi-agent flows, take prototypes to production, define trust/governance, drive measurable experiment throughput and conversion uplift, and partner across engineering, data science, and brand teams.

Define and deliver AI-powered analytics and decision-support products. Set strategy and roadmaps, partner with engineering and analytics teams to build LLM/RAG-driven conversational and agentic experiences, translate customer needs into requirements, use data to measure performance, and ensure trust, governance, privacy, and responsible AI practices.

Own vendor performance, governance, and strategic management for a portfolio supporting Strategic Partnerships & Affiliates. Drive vendor governance, metrics, continuous improvement, automation-enabled transformation, risk mitigation, and cross-functional stakeholder alignment to ensure scalable, compliant, and high-quality service delivery.

Design, build, and maintain low-latency, high-throughput distributed backend microservices for pricing. Implement caching, design APIs and data models, participate in architecture and code reviews, operate event-driven systems (Kafka/Kinesis), and integrate AI/ML-enabled solutions safely.

Build and deploy production ML models for lodging ranking and personalization, from problem framing through feature engineering, model development, A/B testing, and monitoring. Collaborate with engineers, product, and analytics to measure impact, detect model degradation, and iterate on robust, explainable solutions at scale.