Top Software Engineer Jobs in London

Build and improve proprietary trading tools for commodity trading desks. Collaborate with developers, technology leaders, traders, and researchers to define technical needs and deliver platform functionality. Design greenfield solutions, extend existing codebases, and use AI tools while maintaining ownership of code quality, verification, deployment, and production support. The role is onsite five days per week in London.

Develop advanced automation and visual data processing workflows using AI tools, focusing on computer vision and data streaming techniques while ensuring system reliability and scalability.

Builds production-grade bioinformatics pipelines for high-dimensional flow cytometry data, automated cell annotation, feature generation, model registry management, and reproducible machine learning workflows. The role enforces code quality, data integrity, leakage controls, regulatory traceability, and MedDev ML compliance while collaborating with machine learning engineers, biostatisticians, and clinical scientists.

Design, build, and operate distributed software and data platforms supporting quantitative research across cloud and on-premises environments. The role focuses on reliable, efficient data access for large-scale compute workloads, data movement, performance, security, observability, and resilience. Responsibilities include developing services and tooling, collaborating with researchers and engineers, and owning systems from design through production operations.

Develop end-to-end gameplay, meta, and core technology features for an unannounced mobile action game using Unreal Engine 5. Build tools for engineers and content creators, scope technical tasks and systems, troubleshoot bugs, and collaborate with design and backend teams in a hybrid environment.

Lead infrastructure software engineering across design, development, testing, and troubleshooting. Build secure, resilient infrastructure patterns primarily in Red Hat Linux, implement Infrastructure as Code, improve automation and operational stability, and support SDLC tooling and CI/CD practices. Evaluate vendor and architectural solutions, guide responsible use of AI-assisted development tools, and contribute hands-on expertise within an agile team.

Lead development of production AI agents and machine learning workflows for B2B agentic commerce and payments. Responsibilities include agent orchestration, negotiation, onboarding, model training and serving on Kubernetes, evaluation, observability, secure software development, model-risk documentation, and technical leadership. The role also guides AI-assisted engineering practices and evaluates architectures with vendors and internal teams.

Design, develop, and maintain scalable backend applications using TypeScript, Node.js, and NestJS. Collaborate across engineering and product teams throughout the software development lifecycle, integrate APIs and cloud services, troubleshoot performance issues, and apply security best practices. Contribute to REST, event-driven, and microservice architectures while writing tests and documentation. Provide technical guidance to junior developers and help shape architectural and technology decisions.

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.

Develop and maintain highly available, secure, scalable API services for a global payments platform. Design and ship new products, improve platform performance, automate development processes, participate in Agile practices, and collaborate with global technology teams. The role requires strong Golang development skills, event-driven architecture experience, relational database knowledge, and familiarity with web and API solutions.

Develop and maintain software for live productions across film, television, broadcast, and events. Responsibilities include owning customer and internal projects, building features with Product, writing tested and maintainable C++ code, debugging, code review, supporting existing products, collaborating with Support, and sharing technical knowledge. The role values experience with real-time systems, graphics, media servers, Unreal Engine, and games technology.

Design, develop, and maintain high-performance, low-latency electronic trading systems for equities execution. Collaborate with traders, quantitative researchers, clients, infrastructure, support, and QA teams to deliver algorithmic trading, smart order routing, connectivity, and market data capabilities. Improve testing frameworks, CI/CD, monitoring, reconciliation, recovery, and platform reliability while applying Agile practices and AI-powered development tools.

As a Software Engineer I at Axon, you'll engage in high-impact projects, develop AI-assisted software, collaborate on code reviews, ensure high code quality, and learn from experienced engineers.

Work on forensic intelligence features for Evidence.com, building forensic playback, investigation tooling, media processing pipelines, and format analysis. Collaborate with product managers and global engineering teams, contribute to code quality and test automation, participate in operational ownership and on-call support, and learn across the stack with mentorship.

Develop and maintain web and mobile platform features using TypeScript, React, Node.js, and AWS. Build distributed cloud systems and serverless backends, contribute to architecture and technical design, write tested and secure code, and collaborate with product, design, engineering, customers, and business stakeholders. Support features from discovery through production while contributing to an Agile, cross-functional squad.

Develop and support mission-critical finance systems, including bank ledgers and integrations. Design reliable, maintainable services, collaborate with accountants, treasurers, and internal stakeholders, and contribute throughout the project lifecycle. Engineers will work primarily with Java in a cloud-native environment using PostgreSQL, AWS, GCP, Kubernetes, Terraform, Grafana, and CI/CD tooling. The role emphasizes transaction accuracy, financial process automation, system resilience, and solving complex technical problems.

Build and scale reliable, API-driven global payment systems integrating with banks and payment gateways. Translate requirements into maintainable, tested software; collaborate cross-functionally; resolve performance and usability issues; participate in code reviews; manage technical debt; and support operational health and high service-level availability.

Build and maintain Cloudflare’s deployment platform, enabling safe, reliable, automated releases at global scale. Responsibilities include progressive deployments, health-mediated rollouts, release workflow automation, internal instrumentation, deployment tooling, and frontend and backend development. The role requires predictable delivery on fast-moving projects and may include after-hours on-call support.

Build and maintain full-stack systems for electric vehicle leasing using Python, React, GraphQL, PostgreSQL, NoSQL databases, and AWS. Responsibilities include developing APIs, integrating internal and third-party services, creating performant frontend applications, maintaining scalable code, collaborating cross-functionally, owning features from inception through delivery, and mentoring teammates. Bonus experience includes TypeScript, Next.js, AWS infrastructure as code, event-driven systems, and AI technologies.

Staff Software Engineer responsible for troubleshooting and optimizing mission-critical applications, Kubernetes infrastructure, databases, and cloud-native systems. The role develops software, automation, AI-assisted operational tools, monitoring, and CI/CD improvements; resolves production incidents; performs database tuning and root-cause analysis; and drives reliability, scalability, and operational excellence across enterprise platforms.

Build and deploy production-grade AI solutions across data ingestion, feature engineering, model training, evaluation, and deployment. Develop LLM integrations, agentic workflows, RAG architectures, dashboards, backend APIs, and prompt-engineering solutions. Collaborate with fixed-income business users, engineering, data engineering, and application support teams. Maintain production applications, write tested and documented code, and evaluate emerging AI/ML technologies.

Build and operate platform services, APIs, workflows, and data models for storage infrastructure. Automate capacity, tenant, quota, access, and data lifecycle processes with safe, auditable, idempotent changes. Develop tests, observability, and stable service contracts while troubleshooting production systems, responding to incidents, and participating in on-call rotation. Collaborate with users and partner teams to convert operational challenges into reliable engineering solutions.

Supports a business-critical warehouse management system in a 24x7 environment. Responsibilities include application maintenance, upgrades, incident resolution, infrastructure and database administration, SQL performance optimization, monitoring, integrations, change and release management, vendor coordination, SOX compliance, disaster recovery testing, documentation, and continuous service improvement.

Provides 24x7 production and application support for a business-critical warehouse management system. Responsibilities include monitoring, incident resolution, troubleshooting, SQL and database support, application maintenance, upgrades, release testing, infrastructure coordination, documentation, SOX compliance, and disaster recovery testing. The role collaborates with infrastructure, networking, cybersecurity, SAP, middleware, database, and vendor teams to maintain application availability, security, and performance.

Supports live client environments for wealth management platforms by investigating production incidents, performing root cause analysis, reviewing logs, resolving application and integration issues, supporting deployments and UAT, and improving reliability and monitoring. The role requires Java enterprise application experience, strong SQL and troubleshooting skills, cloud knowledge, API and integration expertise, client communication, and participation in out-of-hours incident support.