Top Tech Jobs & Startup Jobs in London

Principal Architect advising cross-functional teams on cloud-based infrastructure architecture, technology selection, strategic roadmaps, migrations, and platform adoption. The role translates client strategies into infrastructure requirements, develops AI-enabled engineering and governance patterns, and ensures solutions meet resiliency, security, and auditability standards. It also requires client-facing consultation, product ownership experience, advanced software architecture expertise, and communication with senior executives.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.

The Vice President will oversee EMEA Payments product control, ensuring accurate financial statements, P&L reporting, risk metrics, month-end close, and robust controls. Responsibilities include financial analysis, stakeholder reporting, issue resolution, project leadership, control improvements, and support for business initiatives. The role requires collaboration across functions, strong analytical and communication skills, and expertise in payments processes, financial reporting, and control environments.

Lead delivery of complex technology programs by developing project plans, managing risks, budgets, vendors, and cross-functional teams. Apply technical fluency, agile methods, and data-driven analysis to optimize program performance, influence stakeholders, and support operational planning and risk management for high-quality service delivery.

Supports EMEA data governance and risk management across asset and wealth management. Responsibilities include maintaining governance standards, coordinating forums, investigating policy breaches, tracking remediation, supporting data protection activities, improving processes, managing workstreams, reporting metrics, and coordinating regulatory requirements. The role partners with Risk, Compliance, Legal, Audit, Technology, data owners, and senior stakeholders while identifying opportunities to use AI and automation.

Build and maintain customer-facing single-page web applications using React. Deliver end-to-end features, fix defects, write tests, participate in code reviews, produce documentation, and collaborate with cross-functional teams while considering accessibility, security, observability, and performance.

Build and troubleshoot secure, production-ready AI/ML and agentic software for JPMorganChase’s LLM Suite platform. Develop GenAI services using Azure OpenAI, AWS Bedrock, public cloud architecture, and modern agentic frameworks. Design microservices and APIs, integrate algorithms with existing systems, support operational stability, and collaborate with senior engineers on architecture and implementation. Explore agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.

Supports product marketing and go-to-market execution by developing product documentation, analyzing markets and customers, coordinating feature and product launches, creating enablement assets, tracking campaign and product performance, and maintaining timelines and ownership across teams. The role partners with Product, Growth, Operations, and Marketing stakeholders to translate customer insights into messaging and product activation plans.

Lead Markets Treasury strategies optimizing balance sheet, liquidity, leverage, collateral, counterparty credit risk, market risk, and regulatory capital. Analyze financial resource consumption, portfolios, trade structures, and liquidity methodologies to identify optimization opportunities. Partner with trading desks, technology and quantitative research teams, vendors, and clearing houses. Develop data-driven optimizers, benefit trackers, and analytics while guiding methodology improvements and strategic roadmaps.