Top Tech Jobs & Startup Jobs in London

Design, develop, test, and support secure, scalable, low-latency electronic trading software using Java and Spring. Contribute to architecture, system integrations, performance optimization, production support, incident resolution, automated testing, CI/CD, observability, code reviews, and continuous engineering improvements. Apply FIX protocol expertise while collaborating within an agile team.

Leads enterprise-scale technology transformation portfolios, establishing governance, integrated delivery plans, risk controls, stakeholder alignment, and measurable outcomes. Partners with engineering, architecture, product, vendors, and executives to drive adoption and operational improvement. Builds high-performing teams and governs the safe, auditable use of AI-assisted and agentic workflows, including pilots, human validation, sensitive-data handling, and enterprise reuse of approved AI capabilities.

Leads a London-based team building and scaling B2B agentic commerce systems and production ML models. Owns engineering delivery, team development, architecture, ML operations, security, model risk governance, platform integration, vendor evaluation, and production stability. Partners with product, platform, data, and business stakeholders while establishing responsible AI and AI-assisted engineering practices.

Designs and develops secure, scalable agentic commerce solutions for payments. Responsibilities include building agent orchestration components and MCP servers, developing Python services, creating Databricks data pipelines, supporting MLOps workflows, evaluating agent behavior, implementing observability, and improving operational stability. The role requires cloud-native engineering, API and event-driven services, LLM application development, responsible AI practices, Kubernetes, and secure production software delivery.

Lead architecture and engineering for B2B agentic commerce and machine-learning systems in global payments. Define multi-agent architectures, authorization, information barriers, MLOps pipelines, evaluation frameworks, safety guardrails, and model-risk evidence. Develop and review secure production code, establish AI-assisted engineering standards, integrate external agents, improve operational resilience, and guide technical teams and vendors. The role requires advanced Python, production LLM agent experience, secure distributed-systems expertise, and financial-services technology knowledge.

Leads the design, productionization, and operation of LLM-powered agentic commerce applications. Builds retrieval systems, agent memory, organizational context, multi-agent workflows, evaluation frameworks, guardrails, and ML pipelines. Deploys resilient, observable solutions on AWS or Azure using MLOps practices, while partnering with product, business, data science, and engineering stakeholders to deliver secure, auditable production agents.

A skills-led London technology insight program introducing students to JPMorganChase engineering teams. Participants complete technical workshops, coding and problem-solving exercises, simulations, panel sessions, networking, and a HackerRank coding challenge while learning how engineers develop real-world solutions.

A student insight programme focused on financial markets, quantitative analysis, risk assessment, trading decisions, and commercial judgment. Participants explore JPMorganChase teams, network with professionals, attend panels, and complete market simulations and collaborative skills-based exercises. The programme is designed for students graduating in 2029 who are interested in financial services and can demonstrate strong communication, self-motivation, critical thinking, and enthusiasm for global markets.

A skills-led JPMorganChase spring insights programme introducing students to financial services, banking teams, client advising, company and market analysis, and commercial decision-making. Participants attend panel sessions, network with business leaders, complete case-style exercises, and practise communication, problem-solving, relationship-building, and execution through collaborative simulations.

Spring Insights programme introducing students to JPMorganChase’s client advisory and investment teams. Participants explore financial-services careers, attend panels, network with business leaders, and complete collaborative skills exercises and simulations. The Advise & Invest pathway focuses on understanding client financial goals, building relationships, developing tailored recommendations, researching investment opportunities, and connecting financial decisions to outcomes.