Top Tech Jobs & Startup Jobs in London

Leads development of high-performance, latency-sensitive trading systems using Java and Python. Oversees architecture, coding, testing, APIs, integration strategies, observability, resilience, security, incident response, and operational readiness. Guides agile delivery through technical planning, code reviews, retrospectives, and mentoring. Establishes responsible use of AI-assisted engineering tools and validates outputs for correctness, performance, and security in a regulated financial environment.

Lead research and development of Transformer-based and time-series foundation models for systematic trading. Responsibilities include pre-training models from scratch on large-scale financial datasets, designing representations and self-supervised objectives, developing distributed training systems, fine-tuning models for trading applications, studying scaling and regime robustness, and evaluating economic performance through simulations and live-trading metrics.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Trade refined oil products by managing client and broker flows, pricing and hedging transactions, developing fundamental and technical trading ideas, and managing complex risk. Responsibilities include marking forward curves, providing market commentary, hedging secondary exposures, sizing positions, supporting client engagement, and maximizing franchise revenue while maintaining strong controls and regulatory standards.

Leads architecture for JPMorgan Chase’s enterprise cloud platform across AWS, Azure, and GCP. Advises on workload placement, evaluates emerging cloud technologies, designs adoption tooling, and establishes architecture governance and platform guardrails. Develops and reviews production code, guides engineering teams, and promotes secure cloud-native practices. The role also governs AI-assisted and agentic architecture workflows, emphasizing human validation, data sensitivity, auditability, resiliency, and security.

Embeds with Markets, Banking, and Payments teams to identify high-value generative AI opportunities. Translates business needs into technical requirements, reusable components, and production-grade solutions. Owns architecture and development across data, retrieval, prompting, orchestration, evaluation, deployment, and iteration. Partners with Technology and data science teams to meet enterprise resilience, controls, and risk standards while delivering measurable commercial impact.

Lead technical strategy, architecture, and delivery for a large-scale risk analytics and reporting platform. Design scalable Java and React-based applications, govern frontend architecture and design systems, integrate enterprise platforms and data sources, and drive reliability, resiliency, observability, security, and compliance. Partner with Risk, Product, Data, Architecture, and Engineering stakeholders while evaluating AI, machine learning, and generative AI capabilities for analytics, automation, and decision support.

Leads technology risk and controls governance for cloud foundational services. Produces executive-ready governance materials, manages meetings and remediation actions, monitors KRIs and KPIs, validates control effectiveness, synthesizes risks into senior-level insights, and improves reporting processes. Partners across functions to strengthen oversight, using authorized AI and automation with appropriate human validation, data sensitivity awareness, and auditability.

Provides legal and regulatory advice for corporate and strategic equities transactions across EMEA. Responsibilities include drafting and negotiating complex documentation for equity derivatives and margin loan facilities, advising on security interests over shares, managing cross-border legal issues, identifying and mitigating risks, collaborating with compliance and external counsel, and improving legal processes and documentation.

Monitors and triages security alerts, investigates incidents through resolution, conducts threat hunting, and develops or tunes detection rules. The analyst correlates endpoint, network, cloud, and identity telemetry; uses AI and automation to improve investigations; documents findings and incident reports; collaborates with global SOC and response teams; and helps maintain playbooks while participating in a weekend rotation approximately every five weeks.