Top Tech Jobs & Startup Jobs

Lead strategy, roadmap, and delivery for applied AI products in markets: discover user reasoning, prototype and validate AI hypotheses, ship production LLM/RAG/agent solutions with evaluation standards and regulatory guardrails, and translate research frontier advances into commercial outcomes.

Drive customer adoption and retention for LSEG workflow solutions by combining digital and traditional CSM strategies. Define success plans, educate users, monitor usage and account health, surface growth opportunities to sales, maintain CRM data, and build executive relationships to ensure value realization and account growth.

Hands-on engineering roles to modernize and scale FTSE's cloud-native, low-latency index and data platforms. Work across software and data engineering, cloud, SRE, and DevOps domains focusing on performance, data quality, reliability, CI/CD, automation, and AI-assisted tooling while collaborating with global teams.

Lead the Partner Deal Structuring team and regional deal forums to approve and operationalize non-standard partner and redistribution deals. Integrate AI into deal processes, manage policies, reporting, training, and ensure deals align with risk tolerance and commercial frameworks to maximize revenue and retention.

Provide 2nd-line support and reliability for LSEG networks and platforms. Design, build, and maintain systems; monitor availability; automate operations; support deployments; liaise with telcos/partners; ensure performance, resilience and capacity across enterprise and datacenter networks, including cloud and low-latency trading environments.

The Lead DevOps Engineer will drive cloud product strategies, enhance ML capabilities, ensure best practices in infrastructure deployments, and mentor teams.

The Senior Solutions Architect will lead initiatives on the FTSE Russell Index platform, ensuring operational efficiency, regulatory compliance, and platform modernization while collaborating with Product, Operations, and Engineering teams.

The Director of Operational Transformation will lead the transformation and change management for operations in Benchmark and Index Management, focusing on automation, organizational change, and operational efficiency.

Design and build end-to-end full stack solutions that integrate AI/ML models and pipelines. Develop frontends, backends, APIs, and dashboards; deploy scalable, secure cloud and containerized systems; create MCP tools; collaborate cross-functionally and produce technical documentation and proofs of concept.

Define and drive the vision, roadmap and delivery of LSEG's AI Core Platform. Own enterprise AI platform capabilities (AI Gateway, MCP SDK, IAM, orchestration, scale, shared services), establish standards and APIs, partner with Engineering and Security to deliver secure, scalable platform services, drive developer adoption, monitor performance and metrics, and engage cloud and technology partners to support enterprise AI at scale.