Top Software Engineer Jobs in London

Build and optimize low-level, high-performance software and cloud-scale storage systems for ML-focused data infrastructure. Design data layouts, compression strategies, and orchestration layers; drive performance engineering and systems-level improvements. Collaborate with a small team in New York or London, leveraging open-source tools and cloud warehouse architectures.

The Software Engineer will develop betting solutions, create mathematical models, automate operations, and collaborate closely with data scientists.

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.

The Production Software Engineer ensures system resilience and operational efficiency, focusing on deployment automation, observability, and collaboration across engineering teams.

As a Software Engineer Consultant, you will design, develop, and maintain secure software systems for public safety, working closely with clients and multidisciplinary teams.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

As a Software Engineer, you will lead technical projects, improve code structure, and collaborate with teams to scale Deliveroo's systems. You will also participate in hiring and support team members' growth.

The Senior Java Software Engineer will build and maintain payment integration systems, ensuring stability and accuracy while delivering robust scalable solutions in a fast-paced environment.

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

The Software Engineer on Mission Dev will build custom applications, design data pipelines, and collaborate closely with clients to solve complex challenges. Responsibilities include direct customer engagement and contributing to team growth.

Design and implement browser-based trading tools with polished, sophisticated UIs. Build reusable UI libraries and abstractions, collaborate across the stack, and work closely with traders to capture user needs. Emphasizes typed functional programming and high UX standards.

Design and implement scalable IAM architecture and tooling for AuraDB. Integrate enterprise SSO providers, implement auth protocols (OAuth2, OIDC, SAML, LDAP, MFA), manage lifecycle (SCIM), develop access control models (RBAC/ABAC/PBAC/ReBAC/FGA), enforce least-privilege, apply zero-trust patterns, ensure SOC 2 compliance, mentor engineers, and collaborate across product, security, and infrastructure teams.

The Senior Software Engineer will lead the development of backend systems for payment processing, collaborating with teams, setting goals, and fostering quality and ownership in code development.

As a Senior Software Engineer, you will enhance the REDAPL platform, leading initiatives in data ingestion, processing, and supporting infrastructure-related projects while mentoring other engineers.

Design, build and maintain high-performance, scalable market-making applications and services. Collaborate with product owners, architects and engineering teams to deliver secure, observable solutions. Improve CI/CD, automated testing and DevOps practices, support production systems, contribute to architecture and documentation, and work within Agile/Scrum to meet regulatory and operational requirements.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean mobile flows for payments, insurance and financial services, integrate backend APIs, improve performance and reliability, use analytics and on-device ML (TensorFlow Lite) to enhance user journeys, and collaborate with product and design.

Design, build, and operate production-grade generative AI applications (copilots, RAG pipelines, agents). Partner with business teams from discovery through rollout, implement eval-driven testing, observability, cost controls, security/privacy/compliance, and codify reusable patterns and runbooks. Own integration with enterprise systems and apply responsible-AI governance.

Lead and build an AI Engineering function: design, develop, and operate production LLM-powered applications and retrieval-augmented systems; hire and mentor engineers; ensure observability, cost optimization, security, compliance, and responsible-AI controls; partner with business stakeholders from discovery through rollout.

Lead development and integration of production-grade, deterministic control software for humanoid robots. Design real-time control architectures, implement high-performance control loops, industrialize algorithms, ensure safety and reliability, run automated testing (simulation and hardware-in-the-loop), manage releases, profile and optimize performance, and mentor engineers.

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.

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.