Top Tech Jobs & Startup Jobs in London

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.

Lead technology transformation initiatives across the cyber portfolio, including privileged access management and resiliency. Responsibilities include structuring complex business and technology problems, developing strategic solutions, managing cross-functional stakeholders, communicating with executives, mitigating risks, tracking KPIs, and facilitating working groups. The role requires significant strategy or management consulting experience, large-scale transformation expertise, strong analytical and influencing skills, and proficiency with PowerPoint and Excel.

Off-cycle quantitative research intern supporting systematic trading, financial engineering, statistical modeling, portfolio optimization, and derivatives pricing. Responsibilities include developing mathematical models and algorithms, valuing and hedging transactions, conducting alpha research, calibrating models, optimizing pricing, managing portfolio risk, and collaborating with traders, technologists, sales, and risk teams. Candidates gain hands-on global markets experience and may be considered for full-time employment after successful completion.

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 a data science and AI/ML team supporting risk management and compliance. Oversees predictive models, LLM solutions, autonomous agents, and enterprise AI applications from design through deployment and monitoring. Partners with Product, Business, and Engineering teams to embed AI into workflows, improve operational efficiency, and deliver business value. Ensures model risk management, responsible AI, explainability, fairness, governance, drift monitoring, and retraining. Mentors teams, communicates insights to senior leadership, and guides research, experimentation, and innovation.

Leads software engineering for global commodities trading desks, developing secure, scalable applications and resolving reporting issues. Provides technical direction, partners with Product and Financial Controllers, and serves as a subject matter expert. Drives responsible adoption of AI-assisted engineering, agentic development pipelines, automation, testing, security, resiliency, and SDLC governance. Requires strong Python expertise, front-office trading experience, risk and PnL reporting knowledge, cloud-native development, and independent problem-solving.

Supports the EMEA Rates business by coordinating strategic and financial objectives, partnering with trading, sales, technology, and control teams, and driving business performance. Responsibilities include market analysis, revenue and expense planning, budget and cost management, financial reporting, business efficiency, controls, electronic trading initiatives, and communication of strategy and priorities to senior management.