Top Full Stack Developer 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.

Build and improve financial crime prevention infrastructure and customer-facing account security controls. Work full-stack with Product, Design, Data Science, and Investigations teams to prevent account takeovers, scams, and fraud. Design scalable web applications, operate distributed systems and CI/CD pipelines, optimize databases, apply test-driven development, make data-driven product decisions, and mentor junior engineers. Familiarity with machine learning pipelines and production ML deployment is advantageous.

Design and maintain scalable web applications and backend services for trading operations while optimizing performance and mentoring junior engineers.

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.

Build and deploy Java Spring Boot backend microservices and React/TypeScript frontends for Wise’s centralized financial-crime risk platform. Develop customer risk views, reusable risk-mitigation workflows, and scalable compliance tools. Design distributed and concurrent systems, write clean and testable code, collaborate with product, analytics, and design teams, and own solutions from problem discovery through production delivery.

Hands-on senior software engineer responsible for designing, developing, testing, deploying, monitoring, and supporting BlackRock’s cloud-native Private Markets platform. The role involves Java backend and React/TypeScript frontend development, scalable APIs and services, event-driven workflows, architecture evolution, CI/CD, incident investigation, and secure data-centric systems. The engineer will use AI-powered development tools and integrate AI capabilities into products while collaborating with engineering, product, architecture, and QA teams.

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Design, develop, and deliver frontend (React) and backend services; produce architecture artifacts; analyze large data sets and visualizations; improve code quality and system resiliency; mentor junior engineers; use enterprise-authorized AI-assisted development tools; contribute to engineering communities and continuous improvement of infrastructure platform services.

Build full-stack, low-latency trading and pricing tools for options traders. Collaborate with traders, researchers, and business stakeholders to design intuitive frontends and scalable backend services, prototype and productionize distributed systems, and expand trading capabilities globally while improving performance, stability, and usability.

Develop and maintain data pipelines and business applications to support model risk governance. Implement model performance monitoring, workflow automation, and LLM-enabled solutions using Python and web frameworks. Emphasize data controls, testing, AI-assisted development tooling, and collaboration with cross-functional stakeholders to deliver secure, reliable analytics and efficiency tools.

Leads full-stack software development across React or Angular frontends and Node.js/TypeScript backends while owning application lifecycle, risk, controls, resiliency, security, compliance, and operational governance. Designs, tests, deploys, and supports production systems; coordinates disaster recovery and technology refresh activities; mentors engineers; promotes AI-assisted development; and partners with risk, controls, and product stakeholders in an agile environment.

Designs, develops, tests, and troubleshoots secure, scalable software systems using Java or Python. Creates production code, contributes to architecture and design artifacts, analyzes large datasets, improves system architecture and coding practices, and supports operational stability. Works within agile teams, participates in engineering communities, and collaborates across cloud, artificial intelligence, machine learning, mobile, and other technical disciplines.

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.

Lead design, build, and operate cloud-native AWS microservices using Kubernetes. Drive CI/CD, containers, IaC, monitoring, reliability, and incident resolution. Champion AI-assisted engineering practices, mentor engineers, participate in architecture reviews, and optimize platform availability and scalability for low-latency trading.

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.

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.

Own and ship full-stack features across frontend, backend, and data layers on a weekly cadence. Build AI-native products involving LLMs, research ingestion, voice-to-voice tools, mobile applications, knowledge graphs, and CRM functionality. Engage directly with clients, influence product decisions, contribute to engineering culture, and work independently from project definition through delivery.

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 full-stack systems for Citi Assist, a generative AI assistant. Develop evaluation, testing, feedback, analytics, and data-pipeline tools across React, APIs, SQL, and cloud infrastructure. Create visualizations, backend services, and scalable data systems while ensuring safety, quality, compliance, and automation. Provide technical leadership, mentor engineers, influence architecture, and drive features from conception through production.

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.