Top Tech Jobs & Startup Jobs in London

Design and implement explainable AI/ML solutions, multi-agent systems, and production-grade data science tools for Risk Management and Compliance. Develop secure code, APIs, batch pipelines, monitoring, and retraining processes while partnering with Product, Engineering, Model Risk, Compliance, and business stakeholders. Support Responsible AI standards through documentation, fairness testing, human-in-the-loop controls, Agile delivery, and operational integration.

Leads complex technology projects and programs across engineering, product, architecture, operations, and business teams. Develops delivery plans, manages risks and dependencies, drives governance, supports Agile practices, analyzes delivery metrics, and coordinates AI/ML and data initiatives. The role requires strong stakeholder communication, technical fluency, executive reporting, and responsible use of enterprise AI tools.

Lead development of production AI agents and machine learning workflows for B2B agentic commerce and payments. Responsibilities include agent orchestration, negotiation, onboarding, model training and serving on Kubernetes, evaluation, observability, secure software development, model-risk documentation, and technical leadership. The role also guides AI-assisted engineering practices and evaluates architectures with vendors and internal teams.

Supports end-to-end delivery of complex technology programs by building integrated plans, coordinating cross-functional teams, tracking risks and dependencies, maintaining governance artifacts, and producing data-driven reporting. The role supports Agile and hybrid delivery practices, stakeholder communications, change readiness, process improvement, and responsible adoption of AI-enabled delivery tools.

Supports J.P. Morgan’s Personal Investing Commercial team through commercial analysis, performance reporting, business cases, financial modeling, and strategic initiative tracking. Develops assumptions and frameworks, monitors results, identifies risks and opportunities, prepares retrospective reviews, and provides data-driven recommendations. Coordinates initiatives across Product, Marketing, and Finance, maintains roadmaps and reporting tools, and communicates insights through stakeholder updates and presentations.

Leads complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Applies Agile practices and analytical reasoning to improve program performance, drive continuous improvement, and align initiatives with business objectives. Uses and validates enterprise-authorized AI capabilities for program planning, risk synthesis, governance, and reporting while following data-sensitivity requirements.

Owns the strategy, roadmap, backlog, metrics, and lifecycle for cloud infrastructure products supporting engineering teams. Leads discovery, prioritization, requirements, release management, and agile delivery while balancing technical and business objectives. Partners with Engineering, Product, Compliance, Operations, Investments, and external stakeholders to deliver scalable, resilient, reliable infrastructure products.

Leads enterprise-scale Microsoft Hyper-V infrastructure engineering across global data centers. Designs resilient clusters, automates provisioning and compliance with PowerShell and DSC, develops C#/.NET orchestration services, benchmarks performance, troubleshoots full-stack infrastructure issues, evaluates server hardware, remediates vulnerabilities, documents architectures, and mentors engineers. The role also promotes validated, auditable use of enterprise AI capabilities in infrastructure operations.

Designs and improves end-to-end operational journeys for retail banking using BPMN 2.0 and Signavio. Partners with product, operations, technology, risk, compliance, and legal teams to deliver scalable, controlled processes. Leads process engineering workstreams, manages dependencies, drives continuous improvement through data analysis, mentors junior engineers, and communicates with senior stakeholders. The role emphasizes customer-centric design, operational risk management, agile delivery, and digital banking transformation.

Originate, structure, underwrite and service UK (and French) regulated and unregulated residential mortgages for ultra-high-net-worth clients. Advise Client Advisors on suitability and affordability, coordinate with Credit Risk and Mortgage Support, manage ongoing portfolio maintenance, and educate stakeholders on market practices and requirements.