Top Tech Jobs & Startup Jobs in London

Design, build, and maintain large-scale, secure data engineering solutions. Lead architecture, deliver production code, drive automation and operational stability, mentor teams, and evaluate vendor/technology choices to advance risk technology platforms.

Design, build, and operate cloud-native lakehouse and streaming data platforms and pipelines using Python, PySpark, dbt, Airflow, and orchestration/infrastructure tooling. Ensure performance, reliability, security, and observability; model and transform data for analytics; deploy with IaC, containers, and Kubernetes; mentor engineers and drive platform standards and best practices.

Lead applied AI/ML efforts to design, build, deploy, and maintain production ML services (NLP/CV focus). Collaborate with engineering, cloud, and SRE teams, research models, ensure MLOps best practices, and document processes for regulatory compliance.

Build AI/ML-driven analytics and automation for CIB Treasury, Securities Services and Payments. Develop scalable data architecture, automate manual processes, create sequential decision-making tools to optimize net interest income, drive projects end-to-end from prototype to production, present commercial recommendations to stakeholders, and collaborate across Quant Research, Treasury, CIO, Technology and CDAO.

Senior commodities lawyer providing strategic legal advice across commodities derivatives, physical trading and structured financing in EMEA. Lead transaction structuring, negotiation, and documentation (including EFET), advise on regulatory/licensing matters, support innovation, manage legal and regulatory risk, and partner with business, Risk, Compliance and Finance to ensure governance and controls.

Lead integration and DevOps work for a low-latency equities onboarding team: participate in requirements, design, development, production rollouts, integration testing, release management, and automation using Linux, Python, shell scripting, networking and FPGA technologies to ensure stable, high-quality deliveries.

Lead and line-manage a squad of engineers to design, implement and operate payments-related microservices on cloud. Hands-on coding, code reviews, mentoring, and collaboration with product and senior engineers. Drive CI/CD, automated testing, system health metrics, and adoption/governance of enterprise AI-assisted engineering practices with a focus on secure, compliant, and measurable outcomes.

Lead development of Java/Spring Boot microservices for J.P. Morgan Personal Investing. Design and evolve cloud-native, event-driven architectures on Kubernetes using Kafka, deliver features from estimation to production, write tests, participate in code reviews, maintain monitoring/alerting, and drive adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation.

Lead front-end development using React and TypeScript to build scalable, performant B2C and B2B features. Drive code quality, testing, and cross-functional delivery within squads. Champion enterprise-authorized AI-assisted engineering practices, SDLC automation, and responsible AI standards while mentoring teammates and contributing to technical decisions.

Lead design and delivery of secure, scalable cloud platform tooling and DevEx practices to support AI/ML and data platforms. Drive CI/CD, observability, cloud security, AI-assisted engineering adoption, paved paths, telemetry, and cross-team modernization while mentoring engineers and governing AI-assisted workflows.