Top Tech Jobs & Startup Jobs in London

Lead CX and CRM strategy for Global's consumer digital products. Own lifecycle communications in Braze, design loyalty propositions, run segmented campaigns, measure performance, and manage a team of four while partnering with Product, Data, Marketing and brand teams to improve engagement, retention and loyalty.

Build and maintain scalable, documented analytics data models and reusable datasets. Implement automated data-quality tests, orchestration and CI/CD. Partner with Analytics, Product and Data Science to define common metrics and business logic, improving discoverability and consistency across BI and analytics use cases.

Design, build, and maintain production data pipelines, services and platform capabilities for the Digital Ad Exchange. Collaborate with engineers, analysts and product teams, participate in code review and planning, and operate/support pipelines—investigating failures, improving observability, reliability and data quality.

Build and operate MLOps platform components: pipelines, model registries, deployment, monitoring, drift detection, and retraining. Collaborate with Data Science and Data Engineering to establish reproducible, scalable ML lifecycles, governance, and CI/CD for production ML services, and mentor junior engineers.

Develop and modernize microservices using Java and Spring, build REST/GraphQL APIs, contribute to CI/CD, run services on Kubernetes (EKS), support monitoring with Prometheus/Grafana, collaborate with cross-functional teams, and use AI tools to improve delivery and code quality.

Lead strategy, delivery and continuous improvement of a global, high-availability IP network estate. Own roadmap, service performance, incident and change governance, vendor relationships, and team development to ensure resilient, secure, scalable networks supporting live broadcast and business-critical services.

Lead end-to-end product lifecycle for data products: define vision and roadmap, work with engineers, analysts and data scientists to deliver scalable data products, manage stakeholders, prioritise features, and demonstrate measurable value tied to company strategy.

Design, build and maintain scalable batch and near-real-time data pipelines and reusable models; evolve the data platform using CI/CD and infrastructure-as-code; ensure data quality, validation, lineage and observability; collaborate with Data Science, MLOps, Product and commercial teams and mentor others to deliver production-ready data solutions.

Work on Java-based microservices (Java 17/21, Spring Boot) to develop features, collaborate with architects and product owners, assist deployments and maintenance, support CI/CD (Jenkins/Terraform), run services on Kubernetes (EKS), and monitor production with Prometheus/Grafana. Contribute to code reviews and the teams system architecture.