Top Software Engineer Jobs in London

Develop and maintain embedded Linux platform software and core subsystems for humanoid robots, integrating sensors and safety systems, building kernel/device drivers, ensuring performance and reliability, leading cross-functional projects, and contributing infrastructure and safety practices for real-world deployments.

Build and maintain device software and data pipelines for handheld gripper data collection devices. Implement sensor integration and temporal synchronization, recording/packaging episodes, validation tooling to detect data faults, operator-facing controls, and on-site support. Debug hardware integration issues and collaborate with hardware, AI, and data teams to ensure high-quality training datasets.

Build backend and on-robot services to author, deploy, and manage fleet workflows. Implement workflow state management, event logging, APIs, data infrastructure, cloud deployment, observability, testing, and simulation-based validation. Collaborate with robotics, AI, and product teams to create operator-facing tooling and reliable production systems.

Lead architecture and technical strategy across multiple product teams while building and shipping full-stack features. Mentor engineers, promote AI adoption throughout the software development lifecycle, deliver LLM-backed capabilities, guide system evolution, own release processes, and support reliable continuous deployment. The role works across mobile, backend, integrations, cloud infrastructure, and production support while collaborating with Product, Design, and Engineering leadership.

Own the technical vision and architecture for a petabyte-scale data enrichment platform supporting machine-learning deployment, inference, evaluation, monitoring, annotation, and retraining. Build reliable backend services, APIs, workflows, and self-service capabilities across large GPU fleets. Lead cross-team architecture and delivery, establish platform metrics, improve reliability and cost efficiency, and mentor engineers.

Build and maintain production data engineering pipelines using SQL, dbt, and Python. Contribute to data ingestion, transformation, API-serving workflows, testing, debugging, cloud infrastructure, and AI-assisted engineering. Collaborate with data engineers, analysts, and product stakeholders while learning through mentorship, code reviews, and hands-on early-career training.

Build and own production software across a Node.js/TypeScript backend, React frontend, C#/WPF desktop connector, and Python ML/RAG workers on Azure. Design the entity-resolution and knowledge-graph architecture, evolve APIs and service contracts, improve retrieval quality, and develop automated tests and deployment practices. The role involves direct customer interaction, technical ownership, pragmatic architecture decisions, and close collaboration with founders and structural engineering customers.

Lead engineering for an AI platform serving architecture, engineering, and construction firms. Own technical direction, platform architecture, knowledge graph and entity-resolution systems, engineering standards, delivery, hiring, and team development. Remain hands-on while building a small engineering function, collaborating directly with customers and product leadership. The platform includes Node.js/TypeScript, React, C#/WPF, Python ML/RAG workers, Azure, distributed systems, and event-driven architecture.

Build and maintain full-stack features using React or Next.js, Python, databases, and APIs. Write tested code, participate in reviews and design discussions, resolve bugs, improve test coverage, and collaborate with product, design, and engineering teams throughout the software development lifecycle. The role also involves AI-assisted development, production monitoring, and progressively increasing ownership of system areas.

As a Software Engineer for Core Database at Neo4j, you will develop and improve the graph database features, focusing on system design, data structures, and algorithms while working collaboratively in a dynamic team environment.

Set long-term technical strategy for backend identity systems, lead major distributed-system initiatives, ensure operational availability, establish engineering quality standards, collaborate cross-functionally, and mentor engineers. Build and launch highly available systems supporting international expansion, KYC verification, identity data management, decisioning, regulatory compliance, and global risk models.

Develop high-performance, low-latency real-time video and AI processing pipelines for medical devices used in operating rooms. Responsibilities include hardware-accelerated video capture, processing, inference, visualization, streaming, parallel processing, software design, optimization, debugging, code reviews, and collaboration with multidisciplinary teams to deliver safe, reliable embedded systems.

Design and implement multi-agent systems and orchestration in TypeScript to power an AI-driven video editor. Build agent workflows, interfaces between agents and the editor, plan-and-execute loops, memory/context systems, and APIs for programmatic control. Collaborate with founders and early engineers to shape product architecture, reliability strategies, and agent capabilities for autonomous editing and visual generation.

Join a small founding engineering team to design, build, and maintain scalable backend services and APIs for an FCA-regulated trading platform. Take end-to-end ownership of features, contribute to system design and architecture, maintain high code quality and testing standards, monitor and improve reliability, and participate in on-call production support. Work across the stack to ship secure, performant software and help shape the engineering culture as the company scales.

The role involves developing and maintaining back-end systems for e-commerce platforms using .Net technologies, ensuring data delivery and optimizing application logic. Responsible for integrating API services and enhancing application performance.

Lead end-to-end project lifecycles in AI and robotics, developing software solutions and integrating technologies to enhance the F&B experience at Kaikaku.

The Software Engineer Consultant will design and deliver secure software for UK Defence, collaborating with stakeholders and applying secure development practices.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Design, develop, and maintain services for Smarkets, implement monitoring, ensure code quality, mentor teammates, and collaborate on projects.

Design, build, and operate high-throughput Rust backend services for financial transactions, compliance, custody, stablecoins, and blockchain infrastructure. Own features end to end, integrate with banks, payment processors, blockchains, and compliance vendors, and improve observability, security, incident response, and API quality. Staff engineers additionally set technical direction, make cross-team architecture decisions, and mentor engineers.

Build and maintain shared Python services, frameworks, data pipelines, and APIs powering AI products. Design scalable AWS-based SaaS platforms, data ingestion and processing systems, and integrations with internal and third-party services. Improve platform security, observability, testing, CI/CD, documentation, and monitoring while collaborating with product teams and mentoring engineers.

Build and ship AI-powered requirements features, including drafting, consistency checks, impact analysis, intelligent suggestions, and agentic workflows. Integrate and evaluate language models while optimizing reliability, latency, cost, observability, and safety. Develop supporting infrastructure such as data pipelines, evaluation harnesses, prompt and model management, and guardrails. Work across backend, APIs, and UI, partnering with product and customers to prototype, validate, and productionize solutions.

Build and ship core AI customer-service product features across Python, TypeScript, cloud infrastructure, event-driven systems, and integrations. Own solutions from customer discovery through delivery, balance rapid MVP development with scalable foundations, and improve testing, documentation, reliability, and security. Collaborate directly with customers and stakeholders while contributing across frontend, backend, infrastructure, and AI product development.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

The Senior Software Engineer role involves building scalable solutions using .Net, crafting responsive UIs with React, and owning the SDLC while collaborating with teams and ensuring software quality through testing.