Top Software Engineer Jobs in London

Lead architectural and technical decisions for shared data-platform capabilities, combining hands-on software engineering with Staff-level technical leadership. Build scalable cloud-native systems and data pipelines, mentor engineers, collaborate with product and cross-functional stakeholders, integrate partner systems, and support live operations and incident response. The role focuses on reliable processing of large volumes of sensitive health and research data while improving engineering practices across multiple teams.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Senior Software Engineer responsible for designing scalable Java and Spring backend systems, developing secure REST APIs, and contributing to Vue/TypeScript applications. The role includes architectural leadership, technical decision-making, automated testing, CI/CD, cloud development, mentoring engineers, client collaboration, and delivery across multiple initiatives. The engineer will also evaluate emerging technologies, promote automation, and help adopt responsible AI practices to improve engineering effectiveness.

Lead and grow an SDET team building reliable, scalable cloud storage solutions. Provide technical leadership, design and review architectures, plan sprints, implement deterministic functional and non-functional test suites in CI/CD/CT pipelines, collaborate on product specs, hire and mentor engineers, and continuously improve processes and systems.

Own software serviceability for humanoid robots: design and validate diagnostics, firmware/bootloader recovery, remote-diagnostics content, tooling for fast fault localization, and act as Services interface to R&D. Validate OTA, calibration, and repair procedures and support new service introductions.

Build and operate a petabyte-scale data platform and Capability Factory: ingest, curate, preprocess, and version robot telemetry; design scalable batch/stream pipelines, orchestration, compute and storage; collaborate with ML teams on MLOps and evaluation workflows; build data warehouse and BI dashboards; ensure data quality, access control, and production ownership including on-call incident triage.

Build teleoperation systems enabling human operators to control, recover, teach, and improve humanoid robots in real time. Design operator UX, integrate input devices, translate human input to safe robot commands, implement shared-autonomy, logging, replay, and safety safeguards, and test systems on hardware and in simulation to drive reliability and quality metrics.

Own quality for the humanoid software platform: test the operator console, inference infrastructure, and backend services. Design and implement automated CI/CD test suites, run contract/integration/performance validations, define quality metrics and strategy, and document tests and processes.

Design, build, and support treasury applications for securities lending, repo trading, FX hedging, and collateral management. Collaborate with Treasury, Portfolio Managers, and global teams to deliver microservices on AWS with Docker/Kubernetes, provide level 3 support, improve firmwide frameworks, and mentor junior engineers within an Agile environment.

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.

Build and own backend platform systems around AI models: design APIs, data models and schemas, implement integrations and data pipelines, create internal libraries/tooling, and drive features end-to-end from design to production while collaborating with engineers and AI specialists.

Build and own full-stack platform systems around AI models: design APIs, database schemas, frontend components, shared libraries, connectors, and data pipelines. Collaborate with design and AI teams, drive features end-to-end from design to production, and shape technical direction and engineering practices.

Build high-quality user-facing experiences primarily in TypeScript and React; influence frontend architecture and product design; own tasks end-to-end; collaborate with designers and AI experts; build component libraries and internal tooling; debug backend issues encountered in development; set technical direction and establish engineering conventions.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The role involves developing remote development capabilities in Kubernetes, focusing on user experience, continuous improvements, and platform security.

Build and ship full-stack growth experiments across signup, onboarding, activation, referral, and retention flows. Own features from concept through implementation, measurement, and iteration. Develop growth loops, run A/B and multivariate tests, improve performance and reliability, analyze funnel metrics, and partner with Product, Design, Data, and Marketing to drive measurable outcomes.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

We are seeking a backend engineer, preferably with Golang experience, to own complex projects in ambiguous environments, focusing on AI-assisted development and stakeholder management.

Build and operate stateful streaming pipelines and Go services that process usage events into accurate, near-real-time billing data. Responsibilities include ingestion, validation, enrichment, pricing, storage integration, usage APIs, billing exports, failure recovery, idempotency, exactly-once processing, reconciliation, scalability, observability, and deployment ownership.

Own and architect high-throughput Node.js payment microservices handling fiat transactions across multiple currencies and regulatory jurisdictions. Design resilient, traceable, idempotent, and reconciliable systems; lead banking and payment-partner integrations; and operate AWS infrastructure, CI/CD pipelines, databases, caching, monitoring, and on-call processes. Drive technical roadmaps, author design documents, mentor engineers, collaborate with Risk, Compliance, Product, and Operations, and maintain security and compliance standards for financial data.

Design and build distributed backend services for the cloud monetization platform, focusing on correctness, consistency, scalable microservices, distributed transactions, and reliable asynchronous workflows. Influence system architecture, own service implementations, and collaborate across teams to support billing, reservations, payments, and revenue flows.