Top Infrastructure Engineer Jobs in London

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

The Infrastructure Support Engineer provides technical support in a mixed environment, focusing on desktop and network setups while learning automation skills, particularly in Python.

The Senior ML Infrastructure Engineer will manage and optimize the ML infrastructure, focusing on training pipelines, model serving, and collaboration with research teams.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

As a Software Engineer, you'll design and manage GPU/TPU infrastructure targeting AI/ML workloads, collaborating across teams to optimize performance and ensure reliability of machine learning systems.

The Staff Engineer will lead the design and evolution of backend and ML infrastructure systems to enhance Spotify's content intelligence capabilities, focusing on scalable and reliable content processing across multiple media types.

As a Senior Platform Engineer at Fresha, you will enhance platform architecture, developer experience, and efficiency by automating processes, collaborating with teams, and extending observability capabilities.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

The Senior Software Engineer will design and maintain backend services, enhance CI/CD systems, and develop scalable AWS infrastructure, while contributing to architectural decisions and ensuring system security and observability.

The Software Engineer will work closely with AI researchers to develop scalable software integrating AI technologies, manage software lifecycle, and collaborate with cross-functional teams.

As a Software Engineer in Infrastructure, you will design, implement, and maintain backend systems for Boltz Lab, ensuring reliable and scalable molecular modeling workflows.

The Senior Mobile Engineer will enhance Spotify's core client networking infrastructure across mobile platforms, refactor components, improve integration, and lead legacy migrations, collaborating with engineers and product managers.

As a Senior Infrastructure & Database Engineer, you will lead cloud projects, optimize SQL environments, support hybrid infrastructure, and ensure system reliability and scalability.

This role involves collecting data for model training, operating cloud infrastructure, and collaborating with scientists to enhance dataset quality and efficiency.

The Staff Software Engineer will lead AI infrastructure development, optimize model serving, write production code, and collaborate with cross-functional teams.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Provide infrastructure support by managing operations, monitoring systems, triaging alerts, and contributing to internal operations improvements. Collaborate with partners to meet service level agreements and maintain documentation.

The role involves owning and improving the design, deployment, and operation of OpenStack and Kubernetes environments, ensuring performance, scalability, and security of GPU workloads, while collaborating cross-functionally and driving automation using infrastructure-as-code practices.

The Staff Software Engineer will design and develop foundational platform infrastructure systems, focusing on reliability and scalability across multiple clouds, and influence strategic engineering decisions.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.