Top Full Stack Developer Jobs in London

Build and own Agent Warden’s backend services, data pipelines, APIs, frontend dashboards, CLIs, and deployment infrastructure. Develop with Python, FastAPI, NestJS, React, and TypeScript; manage PostgreSQL, Redis, CI/CD, Kubernetes, Helm, AWS, packaging, and releases. Lead testing, performance improvements, production debugging, and collaboration with Applied Research to productionize AI security capabilities using AI-assisted development workflows.

Build and maintain full-stack features using Node.js, React or React Native, and PostgreSQL. Contribute to REST APIs, automated testing, trunk-based development, infrastructure as code, security, accessibility, observability, and reliability. Collaborate across disciplines, understand user and business needs, participate in technical decisions and knowledge sharing, and shadow the out-of-hours on-call rota.

Build and optimize ZOE’s customer-facing website using TypeScript, React, and Next.js, with a strong focus on accessibility, performance, responsive design, and design-system development. Collaborate with designers, analysts, and product teams on user experiences and A/B testing. Contribute to backend services using Kotlin or Python, support API development, write maintainable code, and ship production improvements regularly.

Build and ship optimization solutions for IFS PSO, translating customer scheduling and planning problems into models, configuring and debugging the scheduling engine, and developing solutions against live datasets. The role combines C#/.NET software engineering, applied optimization, customer engagement, and product feedback. Engineers will work with Angular and TypeScript, diagnose performance issues, deliver under tight deadlines, and use AI-assisted workflows to accelerate solution development.

As a Full Stack Software Engineer, you'll develop and architect user interfaces, manage APIs for data workflows, and improve applications within the Foundry platform, while collaborating closely with users to understand their needs.

Lead and mentor an agile team to design, develop, secure, and operate scalable cloud-native applications using modern front-end tech and AI-assisted engineering practices; drive automation, code quality, resiliency, and operational stability.

Design, develop, deploy, and maintain advanced AI products and data pipelines. Collaborate with engineers, data scientists, and product owners to deliver production-grade, secure, scalable code. Architect AI-enabled engineering workflows, improve SDLC automation, ensure compliance, and provide technical leadership and architecture governance.

Develops full-stack features for live operational metrics, including backend services, APIs, and real-time frontend dashboards. Responsibilities include improving system scalability and stability, integrating business logic, troubleshooting software, documenting technical changes, and collaborating with stakeholders. Requires frontend JavaScript or TypeScript experience and backend .NET development with C# and ASP.NET. The role is primarily remote with occasional Bristol or London office visits.

Build and ship full product features across frontend, backend, APIs, and databases for an AI-powered neobank. Develop workflows for onboarding, payments, rewards, travel, foreign exchange, support automation, KYC, and risk. Create internal tools, collaborate with product and design teams, and own production monitoring, debugging, and continuous improvement. The role requires strong product sense, comfort with ambiguity, and end-to-end ownership in a hybrid UK office environment.

Build and ship end-to-end product features across web, mobile, and backend systems. Own product functionality, improve code quality, testing, reliability, and engineering practices, and participate in on-call rotations. Collaborate with product and design, contribute to technical discussions and code reviews, mentor junior engineers, and use AI-powered tooling to improve development effectiveness.

Design, build, test, and operate secure full-stack features using Java-based microservices and event-driven architectures. Contribute to system design, debugging, automation, CI/CD, and production stability. Collaborate on architecture reviews, share engineering best practices, and responsibly use enterprise AI-assisted development tools.

Design, build, test, release, and operate secure, resilient full-stack features for production services. Lead architecture and delivery, author and review Java-based code, troubleshoot cross-service production issues, implement automation and CI/CD, improve performance and stability, and mentor teammates while responsibly leveraging enterprise AI-assisted development tools.

Design and develop high-load Elixir backend systems, contribute to architecture and technical specifications, integrate third-party services, optimize databases and caching, and support scalable production systems. The role also involves React development, testing, documentation, accessibility and SEO, code reviews, mentoring engineers, and promoting engineering best practices across the organization.

Design and develop scalable full-stack services for a private-assets platform using Java Spring Boot and Angular TypeScript. Build tested, maintainable front-end and back-end components, documented APIs, and resilient integrations. Collaborate with product and engineering teams in an Agile environment, conduct code reviews, and apply microservices, micro front-end, reactive UX, high-availability, and high-scalability patterns.

Build and maintain full-stack Creative Studio products across frontend, backend, APIs, infrastructure, and generative AI workflows. Develop new products and proof-of-concepts, improve existing platform functionality, support enterprise integrations, strengthen reliability and scalability, and process large-scale datasets for generative AI models. Collaborate with Engineering, Growth, Sales, research teams, and customers to solve complex product and workflow challenges.

Build and own end-to-end full-stack features across frontend, backend, infrastructure, deployment, and testing. Develop AI-powered scheduling, dispatch, clinical data enrichment, and referral workflows. Maintain reliable, auditable APIs and data models for regulated healthcare operations, collaborate with product and clinical teams, and contribute to architecture and infrastructure decisions. The role requires pragmatic technical judgment, comfort with ambiguity, and fluent use of AI coding tools.

Drive architecture and implementation of scalable, multi-tenant embedded finance infrastructure using React and TypeScript. Own cross-domain features, design integrations for enterprise customers, collaborate with Product/Design/Compliance/Sales, and optimize for performance, maintainability, and production excellence to support high-scale fintech customers.

Build and deploy a modern AI-integrated application on GCP during a 12-week contract. Develop React/TypeScript frontends and Python/FastAPI backends, deploy services with Cloud Run and Cloud Run Jobs, integrate Vertex AI Gemini models, manage Firestore and BigQuery data, configure enterprise SSO with IAP and Microsoft Entra ID, and maintain Azure DevOps CI/CD pipelines.

Build and deliver full-stack applications with generative AI and agentic capabilities. Collaborate with engineers, business professionals, clients, and end users to identify valuable AI use cases, design solutions, develop and test software, deploy applications, and iterate based on feedback. Write maintainable code, apply sound engineering judgment, evaluate AI-assisted development tools, and contribute to reliable enterprise workflows using APIs, retrieval, databases, and AI integrations.

Designs, develops, tests, deploys, and supports front-office applications and databases. Provides expert system analysis, architecture, application performance optimization, security compliance, and production support. Collaborates with portfolio managers, product owners, and cross-functional teams; evaluates build-versus-buy options; mentors engineers; resolves escalated issues; and recommends enterprise-wide improvements. The role requires full-stack expertise across frontend frameworks, Java-based backend services, cloud platforms, databases, CI/CD, and automated testing, plus an understanding of investment products and trading workflows.

Develop and maintain secure, scalable software applications supporting safety-critical rail systems. Responsibilities include full-stack development, CI/CD, automated testing, troubleshooting, performance improvements, technical documentation, stakeholder collaboration, and contributing to reliable product enhancements in an Agile engineering team.

Own the technical direction, architecture, and hands-on development of Agile X, a scalable retail operations platform. Build Node.js and Express backend services, React frontend experiences, AWS and DynamoDB data architecture, and integrations with POS, inventory, workforce, customer, and third-party systems. Lead engineering standards, planning, testing, releases, and technical delivery while supporting engineers and partners. Help advance data visualization, predictive analytics, automation, and AI-assisted decision-making.

Leads full-stack software development for AI-enabled enterprise solutions, covering user experience, application logic, APIs, data integration, testing, and automation. The role advises business and IT leaders, resolves complex problems, shapes technology strategy, applies security and privacy principles, supports platform integration, and mentors engineers. It also requires mainframe application experience, broad multi-platform development expertise, stakeholder communication, and consulting capabilities.

Designs and delivers enterprise-grade AI solutions using machine learning and generative AI. Partners with Product, Sales, Trading, and Operations to build scalable technology solutions. Applies modern AI frameworks and AI-assisted software development practices across design, development, testing, documentation, and support. Leads engineering best practices, automation, continuous improvement, and innovation within agile teams, using strong Java and Python skills in mission-critical environments.

Designs and delivers enterprise-grade AI solutions, including machine learning and generative AI applications, using Java and Python. Partners with Product, Sales, Trading, and Operations to build scalable technology solutions. Advances AI-driven software development practices across design, development, testing, documentation, and operational support while improving engineering productivity, quality, and delivery through agile collaboration.