Top Software Engineer Jobs in London

Architects and deploys multimodal 2D/3D object detection and tracking models using camera, LiDAR, and radar data. Owns perception data collection, dataset development, evaluation pipelines, production monitoring, and the perception system roadmap. The role also requires cross-functional leadership and mentoring junior engineers.

Build and operate high-performance backend systems and distributed services using Elixir and Phoenix. Design declarative infrastructure with Terraform, Terramate, FluxCD, Kubernetes, and Helm; manage AWS cloud workloads, cluster upgrades, GitOps workflows, observability, and databases. Collaborate with a remote engineering team on architecture, product development, debugging, reliability, and customer success.

As a Senior Software Engineer, you will design and build Palantir's managed Kubernetes products, automating operations across diverse environments. You'll ensure scale, stability, and security while contributing to CNCF tools and improving infrastructure standards.

Designs and delivers scalable AI-centric software for offensive security, including agentic vulnerability detection, automated penetration testing, workflow optimization, and threat intelligence. Owns features from ideation through deployment and monitoring, contributes to architecture and testing, and collaborates across teams. Requires Python or Go, AI technologies, microservices, APIs, messaging, databases, Docker, Kubernetes, and cloud experience.

Design and implement AI infrastructure for cross-border e-commerce: optimize GPU scheduling on Kubernetes or Ray, improve cluster high-availability and fault tolerance, build efficiency evaluation models, and introduce cutting-edge AI infra technologies.

Design, implement and extend high-performance C++ functionality for pan-European equities trading systems. Own features end-to-end, ensure quality and production readiness, diagnose and resolve production issues, mentor engineers, interview candidates, and provide out-of-hours support as needed.

Develop and maintain scalable web applications and AI/ML-enabled software for defence and national security customers. Responsibilities include technical ownership from design through deployment, distributed-system architecture, CI/CD and software quality, Agile collaboration, client engagement, mentoring, and deployment in cloud, on-premise, and field environments.

Develop and maintain a Python-based SaaS platform for project, data, and annotation management. Collaborate with data and platform engineers to build efficient data-handling processes and work with stakeholders to define and validate software features. The role supports machine learning and data science teams developing connected surgical technology, using production software engineering, cloud infrastructure, DevOps practices, and iterative development methods.

Build and migrate enterprise software services to Jamf’s platform using Kotlin, Spring Boot, REST APIs, microservices, and AWS. Responsibilities include designing features, independently delivering high-quality software, communicating technical concepts, solving customer problems, and collaborating across technical and product teams. The role also involves mentoring engineers, supporting testing and quality assurance, and adapting within an agile platform migration environment.

Build and ship full-stack product features across Python, TypeScript, cloud infrastructure, event-driven systems, AI voice-agent workflows, and third-party integrations. Own customer problems from discovery through implementation, guide architecture and engineering standards, and balance rapid MVP delivery with scalable, reliable foundations. The role also involves technical leadership, customer-facing solution scoping, and production development within an early-stage startup.

Lead development of large-scale, real-time and historical market-data applications using KDB/Q. Drive system design, coding, performance optimization, scalability, high availability, and CI/CD automation. Mentor team members, manage delivery, partner with stakeholders and support teams, and help migrate and re-architect systems to AWS while improving operational stability and testing practices.

Lead platform engineering efforts to design, build, and operate Kubernetes-based cloud platform services. Develop secure production code, automate infrastructure and CI/CD, support production (you-build-it-you-run-it), drive reliability and security via IaC and policy-as-code, lead technical evaluations and communities of practice, and champion responsible AI-assisted engineering practices.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Lead development of microservices that fetch, enrich, consolidate, and distribute network metadata. Design, build, test, and maintain secure, resilient production code; drive adoption of AI-assisted engineering practices; automate remediation and CI/CD; evaluate vendor solutions; coach teams on responsible AI and cloud/network technologies; lead communities of practice and ensure operational stability.

Build and operate low-latency Python services for live Rates risk and P&L. Partner with traders and risk managers to deliver production-ready solutions, own releases/monitoring/incidents, troubleshoot distributed systems, and improve CI/CD and operational readiness.

Lead development of the QES trading platform: design, build, test, and maintain production-grade software. Collaborate with front office (trading, structuring, research), deliver secure high-quality code (Python/Java/TypeScript/React), automate operational remediation, and lead agile engineering practices and communities of practice.

Lead architecture and roadmap for platform engineering; mentor engineers; design and deliver secure, scalable cloud-native infrastructure; ensure production stability (You Build It, You Run It); automate operations and implement DORA/SLIs/SLOs; drive FinOps and performance tuning; adopt and govern agentic AI-enabled engineering workflows with security and validation guardrails; collaborate with product, business, and security stakeholders.

Lead backend engineering efforts to design, build, and operate scalable, reliable, and secure cloud-native services using JVM languages. Drive domain modeling, performance optimization, zero-downtime releases, incident remediation, automated testing, and adoption of approved AI-assisted engineering practices while mentoring teammates and promoting reusable patterns.

Lead backend engineering work using JVM languages to design scalable, reliable, secure, cloud-native, multi-cloud solutions. Drive domain modeling, performance optimization, zero-downtime releases, incident resolution, and operational excellence. Champion adoption and governance of enterprise-authorized AI-assisted engineering practices and SDLC toolchain automation while coaching teams on responsible, secure AI use.

Lead development and enhancement of equity derivatives trading and analytics applications, drive automation and AI-assisted engineering practices, collaborate with trading and quant teams, maintain global platform stability, and lead the Systematic Quoting Platform workstream for EMEA.

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 and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Lead front-end technical direction and hands-on delivery for a latency-sensitive, real-time trading UI. Design scalable UI architecture and component libraries, optimize performance, enforce testing/CI/CD and security standards, mentor engineers, and collaborate with product, SRE, and backend teams to deliver production-grade, compliant solutions.

Lead development of cloud-native Python applications for global commodities trading desks. Design, build, test, and operate resilient, secure production systems; drive automation and CI/CD; evaluate vendor solutions; and mentor engineering communities of practice.