Top Engineering Jobs in London

Leads Wise’s Finance Systems engineering organization and technical strategy. Owns ERP modernization, finance platform architecture, SOX engineering controls, operational maturity, and AI-enabled automation. Partners with Finance, Product, and CFO stakeholders to deliver scalable systems for close acceleration, intercompany operations, AP/AR, and statutory reporting. Builds and develops a senior engineering team while driving resilience, auditability, deployment improvements, and long-term transformation.

Lead and coach engineers on Wise’s Send for Partners team, overseeing hiring, mentoring, performance, technical roadmaps, architecture, and system design. Partner with product, solutions engineering, implementation, and business development teams to build scalable payment systems and bank integrations. Drive engineering excellence through code reviews, best practices, continuous delivery, and hands-on technical contribution while balancing delivery priorities with long-term platform health.

Lead and mentor engineers while owning technical direction, architecture, hiring, and delivery for scalable payment systems. Translate product strategy into technical roadmaps, support bank integrations, guide distributed-system design, drive engineering best practices, and collaborate with product and cross-functional teams to improve Wise’s global payment platform.

Design and build low-latency, real-time liquidity observability systems and streaming data pipelines for global financial operations. Architect Kafka and Flink pipelines, develop real-time aggregation and event-driven architectures, model streaming and analytical data, and ensure reliability through idempotency, exactly-once processing, failure recovery, and schema evolution. Collaborate with product, data science, quantitative analysis, and treasury teams to support liquidity positioning, forecasting, and operational visibility.

Leads a cloud platform engineering team, overseeing people development, technical strategy, scalable system delivery, operational reliability, incident response, and engineering standards. Partners with senior leaders to align platform roadmaps with business and regulatory objectives, drives cross-team collaboration, and manages technical risks. Establishes governance and adoption practices for enterprise-authorized AI-assisted development and SDLC automation, emphasizing security, responsible AI, resiliency, measurable outcomes, and reuse of technology assets.

Leads software engineering strategy and delivery for commodities exotics trading technology. Owns desk workflow roadmaps, end-to-end trade lifecycle systems, engineering standards, production readiness, observability, security, testing, incident response, and cross-team releases. Partners with traders, quants, business leaders, and operations while building high-performing teams. Drives enterprise adoption of governed agentic AI engineering and SDLC automation, including responsible AI controls, resilience, measurement, and secure reuse.

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.

Lead hands-on engineering for an enterprise LLM Suite platform, designing and delivering production-grade AI/ML, GenAI, and agentic systems. Responsibilities include architecture ownership, secure Python and FastAPI development, microservices and API implementation, cloud-based integrations using Azure OpenAI and AWS Bedrock, operational stability, resiliency, CI/CD, and collaboration across engineering teams. The role also explores agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Strategic Talent Acquisition Partner responsible for full-cycle hiring across EMEA, especially the Middle East. Advise senior leaders, design data-driven regional TA strategies, scale engineering and commercial teams, lead employer branding, improve TA processes, and ensure an inclusive candidate experience while forecasting hiring needs and optimizing recruitment performance.

Lead a hands-on embedded finance engineering team by designing, developing, and maintaining scalable services. Mentor engineers, guide technical decisions, promote coding and delivery best practices, and own the team’s product and services. Partner with Product Management and cross-functional teams to define roadmaps, improve platform capabilities, and deliver reliable embedded finance solutions for enterprise partners.

Lead and mentor a software engineering team while remaining hands-on with web and backend development. Own delivery planning, engineering standards, code quality, application stability, resiliency, incident response, cloud operations, vendor-supported applications, risk controls, and disaster recovery coordination. Partner with product, operations, risk, and senior stakeholders while supporting hiring, onboarding, and team development in a regulated environment.

Leads multiple engineering teams supporting J.P. Morgan Personal Investing’s investment platform. Defines technical strategy, drives product roadmap execution, oversees architecture, reliability, security, costs, vendors, incident management, and regulatory controls. Builds and mentors engineering managers and senior engineers while scaling teams and processes. The role also governs responsible agentic AI adoption across engineering workflows, including validation, auditability, security, and automation.

Leads an engineering team building Wise’s current account and everyday banking products. Responsibilities include managing and developing engineers, writing and reviewing code, driving backend, web, and mobile features, owning the technical roadmap, making architectural decisions, and ensuring system reliability, scalability, and correctness. Partners with Product and Design, coordinates with adjacent teams, and balances technical delivery with customer and business impact.

Leads Expedia’s iOS and Android engineering teams, setting mobile architecture and technical strategy while overseeing execution, reliability, releases, observability, and operational excellence. Builds and develops distributed engineering teams through hiring, mentoring, and performance management. Partners cross-functionally on roadmaps and dependencies, improves mobile quality and resilience, and guides the safe adoption of AI-enabled engineering and product capabilities.

Designs, deploys, and operates highly available, secure, multi-region cloud platforms. Responsibilities include managing AWS and Kubernetes services, automating production operations, improving reliability and scalability, participating in 24x7 incident response, and developing tooling for deployment, testing, failure recovery, and platform security. The role collaborates with application engineering teams and requires Linux administration, Python or Go development, container security, and CI/CD automation experience.

Build, deploy, and maintain full-stack AI applications, services, and data pipelines for enterprise use. Collaborate with data scientists, machine learning engineers, research scientists, and technical teams to productionize AI products. Develop secure, scalable, resilient software; maintain APIs and backend services; conduct code reviews; troubleshoot complex issues; apply CI/CD and software security practices; and support LLM applications using retrieval-augmented generation and prompt design.

Leads frontend and mobile engineering for Chase UK’s digital banking applications. Designs cloud-native solutions, writes maintainable and testable code, conducts testing, troubleshoots issues, collaborates with stakeholders, mentors developers, and drives continuous improvement. Promotes responsible AI-assisted engineering practices, secure validation, automation, and reuse across the team. Preferred experience includes React Native, native Android and iOS development, APIs, end-to-end testing, responsive design, performance optimization, and design systems.

Leads the architecture, delivery, and operational excellence of a high-throughput Risk API and risk assessment platform. Responsibilities include defining API contracts and data schemas, establishing immutable risk evaluation ledgers, ensuring data quality and lineage, scaling the engineering team through hiring and mentorship, aligning Product and Financial Crime stakeholders, and maintaining high availability, low latency, auditability, and regulatory reporting capabilities.

Design, build, test, deploy, and operate resilient Java microservices supporting a high-volume, multi-asset trading platform on AWS. Develop reactive, streaming, and event-driven services; apply Kubernetes, caching, testing, CI/CD, and distributed-systems practices. Collaborate with engineers and senior stakeholders on domain-driven design, service boundaries, performance, resilience, security, and technical direction. Use AI-assisted development tools while maintaining strong engineering controls and operational readiness.

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.

Lead Cloudflare’s Edge SRE team in London, owning production reliability, scalability, observability, incident management, and platform tooling. Mentor and develop engineers, prioritize the SRE roadmap, drive cross-team reliability initiatives, and provide technical leadership for distributed infrastructure systems. The role includes design participation, root-cause analysis, production debugging, availability and performance monitoring, and collaboration with engineering, infrastructure, and product teams.

Build and maintain full-stack SaaS features across backend and frontend: develop scalable Python and .NET services, create React/TypeScript UIs, design and integrate REST/gRPC APIs, support cloud-native deployments, production monitoring, incident resolution, and apply security, CI/CD, and testing best practices while collaborating with product and business stakeholders.

Lead and develop a team of Workday engineers and platform specialists; own Workday capabilities, operations, roadmap, architecture, integrations, security, reliability, and governance. Drive implementations, enhancements, releases, transformation initiatives, automation, AI adoption, and continuous improvement. Partner with HR, Finance, Payroll, Product, Technology, and senior stakeholders to translate business priorities into scalable solutions and measurable outcomes while managing team capacity, performance, and career growth.

Lead AI architecture and engineering for enterprise agentic AI systems. Define standards for RAG, agents, orchestration, evaluation, security, and governance; provide hands-on technical leadership, mentor engineers, and align cross-functional stakeholders to deliver secure, compliant AI solutions.

Leads a team building secure, production-grade AI-driven software systems. Responsibilities include software architecture, Java or Python development, AI/ML integration, LLM and generative AI applications, algorithm validation, automated testing, CI/CD, cloud-native development, troubleshooting, and operational reliability. The role also establishes responsible AI practices, validates AI-assisted engineering outputs, mentors engineers, translates business requirements into technical roadmaps, and ensures timely delivery through Agile methodologies.