Top Tech Jobs & Startup Jobs in London

Design, build and deploy enterprise-scale ML and AI solutions (including LLMs and RAG) to improve operational efficiency, service resilience and customer outcomes. Perform statistical modelling, feature engineering, experimentation, and large-scale data analysis. Move models from prototype to production, support monitoring/governance, and partner with engineering, SRE, product and business stakeholders to define metrics and deliver measurable business value.

As a Principal Applied Data Scientist, lead the development of scalable AI solutions, focusing on NLP and LLMs, while collaborating with teams and ensuring production standards.

The Senior Product Manager will lead the strategy and execution for integrating LSEG's MCP tools into AI workflows, developing integration patterns, onboarding processes, and ensuring workflow reliability and safety for autonomous AI systems.

Lead product strategy and roadmap for Equity and Multi‑Asset indices and an in‑house AI tool. Gather user feedback, prioritise features, work with research developers to ship, run market analysis, engage clients, and partner with Sales and Marketing to drive positioning and revenue.

Lead one or more News Engineering squads to deliver low-latency, real-time content enrichment and delivery. Hire and develop engineers, ensure reliability, quality, and sustainable on-call practices. Guide design and implementation of content processing and NLP enrichment, promote CI/CD, observability, automated testing, and responsible use of AI-assisted tools. Partner with product and architecture to balance speed, quality, and long-term system health.

Join as a Senior Java Engineer to develop scalable Java applications, utilizing frameworks like Spring and CI/CD practices. Engage in a talent community before roles open, emphasizing Java proficiency and distributed systems knowledge.

Provide Level 2 IT support for CDSClear's trade management and risk platforms, managing operational health, incident management, and change processes while collaborating with other teams and enhancing performance.

Design and build enterprise-grade software and AI-powered analytics for financial markets. Develop full-stack solutions using Java/Python/C++/C#, implement CI/CD, automated testing and cloud deployments (AWS/Azure). Collaborate across regions, drive technical excellence, and apply emerging technologies to solve complex finance problems.

Lead design and implementation of CI/CD pipelines, infrastructure automation (Ansible/Terraform), and containerised platforms (Docker/Kubernetes/EKS/AKS) on AWS. Monitor and optimize systems (DataDog), ensure security/compliance, troubleshoot environments, mentor engineers, and drive POCs for AI-assisted automation integrated into CI/CD, code validation, and incident resolution.

The Application Architect designs and guides application architecture for the Risk Intelligence platform, ensuring alignment with quality standards and effectively collaborating with teams and stakeholders.