Top Software Engineer Jobs in London

Principal Software Engineer responsible for end-to-end product ownership, architecture, technical strategy, platform infrastructure, CI/CD, observability, security, reliability, and legacy modernization. The role works across TypeScript, Python, cloud services, databases, frontend technologies, Kubernetes, and Terraform while mentoring engineers and shaping engineering standards across the organization.

Owns the design, development, deployment, and support of software for corporate credit derivative trading. Partners with traders, strategists, operations, and global technology teams to deliver pricing, risk, distribution, automation, and platform improvements. Provides technical leadership, applies software engineering best practices, uses AI and agentic tools, and may manage developers and contractors. Requires strong object-oriented programming, multithreading, data structures, design patterns, and experience with Java or .NET; Scala and Python are preferred.

Staff Software Engineer leading architecture and hands-on development across a scalable full-stack prediction markets platform. Responsibilities include building React, Next.js, TypeScript, and backend services; setting technical direction; leading cross-team initiatives; designing event-driven systems for transactions; improving reliability, observability, testing, and deployment; mentoring engineers; and establishing responsible AI-assisted development practices.

Lead the technical direction and architecture of a major global product area spanning multiple modules. Architect scalable, distributed cloud systems, shape technical vision and product roadmaps, guide engineering teams, make high-stakes technical decisions, and influence executives and cross-functional stakeholders. The role is primarily hands-off, with occasional code-level design and proof-of-concept work. Experience with AI/ML, AWS, API design, data modeling, SaaS, DevOps, and CI/CD is advantageous.

The Staff Software Engineer will lead the design and delivery of robust order management solutions, ensuring reliability and scalability, while mentoring junior engineers and collaborating across teams.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build reliable, well-tested platform software for AI-powered industrial control systems. Responsibilities include developing with Python and Terraform, supporting production systems, improving architecture, mentoring engineers, strengthening software practices across engineering and ML teams, and enhancing system quality, maintainability, and reliability. The role spans CI/CD, networking, plant-system data integration, IoT operating systems, and customer-facing control software.

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.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Software Engineer role at Paddle, a global Merchant of Record and payments infrastructure company. The posting provides limited role-specific responsibilities or qualifications, but the position focuses on software engineering using Go. Paddle offers remote or hub-based work, professional development support, unlimited holidays, and inclusive workplace benefits.

Build and evolve scalable frontend products for Rightmove’s core search experience using React, TypeScript, Express, Node.js, Kubernetes, and GitLab. Deliver reliable software through continuous delivery, collaborate with Product, Design, Architects, and Engineering, influence technical direction, design resilient systems, contribute to engineering standards, mentor fellow engineers, and promote testing, automation, performance, and user experience excellence.

Lead developer for low-latency, high-volume equities trading systems. Build, deploy and support algorithmic trading strategies and scalable trading engine infrastructure using core Java. Work across global trading, quant and IT teams through full SDLC to improve execution performance, analytics, messaging, and time-series analysis (KDB/q).

As a Staff Engineer for Hardware Integration, you will lead technical direction and ownership of hardware-software integration within the OTPU stack, guiding complex engineering problems through the full lifecycle from pre-silicon to production reliability.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Develop and troubleshoot secure, scalable Java applications in an agile environment. Design and implement solutions using Spring, Spring Boot, REST services, databases, and modern software development practices. Create architecture and design artifacts, investigate system logs, maintain production code, analyze data for reporting and continuous improvement, and support application resiliency, security, testing, and operational stability.

Build and scale internal systems and tooling for a large social gaming platform. Responsibilities include collaborating cross-functionally, delivering software in an agile environment, troubleshooting systems, managing risk through DevOps and testing, improving development processes, and maintaining secure, reliable, scalable services. The role requires frontend and backend development, including React, WordPress, Python, and Golang, plus expertise in microservices, event-driven systems, and distributed computing.

Build and operate full-stack web applications end to end, from technical design through production release and support. Direct and verify coding agents, create tests and safeguards, review changes for design and security, respond to production issues, maintain alerting and runbooks, and document systems. The role requires strong ownership, independent technical judgment, collaboration, and excellent English communication. Vue, TypeScript, AWS serverless, EdTech, and UI/UX experience are useful but not required.

Software Engineering Interns will work for at least 16 weeks in summer 2027 on real-world projects building Cogna’s AI-powered software development platform. Responsibilities include improving product pipeline quality, exploring code generation and testing methods, and contributing to software engineering, programming languages, and AI initiatives under close mentorship. The role is based in central London and requires existing UK work authorization.

Build and operate production software, APIs, tooling, and automation for large-scale GPU, bare-metal, and HPC infrastructure. Responsibilities include provisioning, configuration, monitoring, lifecycle management, observability, hardware integration, reliability improvements, and infrastructure capacity deployment. The role partners with networking, data center, platform, and infrastructure teams to design scalable systems and define technical direction.

Build AI agents, reusable agent capabilities, and agentic workflows that automate software development at Preply. Develop integrations with codebases, APIs, MCPs, internal tools, and engineering systems; design orchestration, context, evaluation, verification, and human-in-the-loop mechanisms; and take prototypes into reliable, scalable solutions. Collaborate across engineering, product, design, and data teams while measuring adoption and business value.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.