Top Tech Jobs & Startup Jobs in London

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.

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.

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.

Designs, automates, operates, and hardens enterprise-scale Hyper-V and VMware VCF virtualization platforms across global data centers. Responsibilities include cluster architecture, provisioning, patching, performance analysis, full-stack troubleshooting, capacity planning, vulnerability remediation, production change management, CI/CD automation, documentation, and mentoring. The role also promotes validated, auditable AI-assisted infrastructure engineering practices.

Leads cybersecurity architecture for cloud-based applications and enterprise systems. Defines target architecture, identifies and mitigates risks, automates recurring remediation, evaluates emerging technologies and vendors, and drives AI-assisted security validation across SDLC toolchains. Collaborates with technical teams and senior business stakeholders while ensuring security, resiliency, auditability, and data-sensitivity requirements are met.