Top Software Engineer Jobs in London

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

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.

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.

Seeking a fullstack software engineer to design and build AI-driven agent systems, focusing on scalable solutions and backend integration. Responsibilities include collaborating with cross-functional teams and ensuring reliability of components.

As a Software Engineer II, you'll enhance the post-purchase journey by improving backend services' resilience and scalability, while collaborating with cross-functional teams to support product launches.

Develop and maintain research-oriented software and infrastructure for evaluation and model hosting. Implement features for Inspect, support open-weights model hosting, design custom research infrastructure, collaborate with researchers, and debug evaluation systems. Work spans cloud infrastructure, MLOps tooling, and open-source contributions.

Develop and scale the data platform: build time-series data pipelines, APIs, databases, CI/CD and cloud/on-prem infrastructure; apply AI for automated analysis; ensure data quality, testing and cross-team collaboration.

The Staff Software Engineer will design, implement, and maintain high-performance backend services, mentor junior engineers, and lead technical initiatives for the Global KYC and Onboarding systems.

Join a high-performing team to develop new features in React and TypeScript, enhancing web applications for the rental market while ensuring code quality and collaboration.

As a Software Engineer, you will develop a mission control platform for robots, working on backend APIs and UI features while collaborating with research teams to integrate algorithms.

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.

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

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.

As a Software Engineer for AI Product at Figma, you'll build collaborative tools, lead AI projects, and work cross-functionally to enhance design accessibility and usability.

The job involves designing, developing and testing data warehouse microservices, troubleshooting field issues, and collaborating with product and support teams.

Develop and maintain features for a notification platform, upgrade applications, enhance monitoring, and support migration for a public sector client.

The Software Engineer III (Backend) develops complex software solutions, leads projects, collaborates with teams and creates technical documentation while adhering to best practices.

The Software Engineer will build customer-facing products for healthcare, focusing on full-stack feature development and user experience, while engaging with customers and iterating on the product based on feedback.

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 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.

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 and iterate backend services and front-end facing features to improve B2C EV charging experiences. Enable rapid delivery via feature flags, A/B testing, CI/CD, and robust monitoring. Collaborate cross-functionally with product, mobile, and web teams to design, propose, and deliver user-focused, fault-tolerant solutions.

Build and maintain scalable Python backend microservices: productionize data science prototypes, fix production issues, improve monitoring, and ensure tested, well-documented code following engineering best practices.