Top Infrastructure Engineer Jobs in London

Provide third-line support for global hybrid cloud and on-premises infrastructure. Administer Azure, Microsoft 365, Google Workspace, Windows Server, networking, endpoints, and monitoring platforms. Resolve incidents, perform root-cause analysis, manage patches and configurations, support Intune and identity systems, monitor capacity, and contribute to infrastructure deployments, migrations, branch builds, and transformation projects. Maintain documentation and collaborate with global IT teams and external partners.

Join Core Infrastructure to maintain and scale Tier 0 infrastructure hosting hundreds of microservices. Design, implement, test code, participate in on-call rotation and code reviews, and collaborate with platform users to troubleshoot and improve systems. Gain hands-on experience with C++, Python, Linux, cloud, Kubernetes, and Terraform.

Operate, support and improve CPRD's Azure cloud infrastructure and research services. Maintain secure, resilient, high-availability platforms, manage incidents, implement changes, liaise with suppliers, and drive service improvements and automation to meet business needs.

Design, build, operate and improve Neo4j Aura's core cloud and Kubernetes infrastructure across AWS, GCP and Azure. Develop tools, automation, and IaC, troubleshoot production Kubernetes, networking, compute, storage and logging, and support a 24/7 managed service at scale.

The Infrastructure Engineer will build system-level software, focusing on distributed systems and OS level primitives while ensuring scalability and performance of services.

Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.

The Staff Infrastructure Security Engineer will lead security initiatives, set architectural patterns, conduct security reviews, and mentor engineers while ensuring security in cloud infrastructures for GitLab.

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 role involves designing, implementing, and maintaining infrastructure and cloud services, ensuring system security, and managing network devices, along with automating services and supporting CI/CD workflows.

Support sales by designing and demonstrating Cisco cloud, data center, and AI-ready infrastructure solutions. Engage customers to assess modernization goals, craft platform architectures, present technical value, run workshops, and collaborate with account teams and partners to drive adoption of compute, storage, networking, and cloud-native technologies.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

Build and operate production GenAI infrastructure for open-weight LLMs and VLMs: real-time GPU serving, high-throughput batch inference, fine-tuning, autoscaling GPUs, backend services, observability, cost/latency optimization, and platform surfaces (LLM/Agent Gateways, evals, guardrails).

Provide project controls support on high‑value London infrastructure projects: develop WBS and performance baselines, implement progress and cost monitoring, perform earned value and variance analysis, produce control reports, and advise clients. Work closely with cost and planning engineers and use P6, Excel and reporting systems to manage change control and baseline maintenance.

Provide project controls support on high-value London infrastructure projects: develop WBS and baselines, implement progress and cost monitoring, produce control reports, perform performance analysis and recommendations using Primavera/P6, EVM and financial systems.

Provide project controls support for infrastructure projects: collect progress and cost data, update Primavera P6 schedules, prepare monthly reports against baselines, and support governance and assurance of project controls processes.

Lead the development of AI/ML infrastructure for simulations, collaborating with teams on model scaling, system design, and mentoring junior engineers.

Support project controls teams by collecting schedule and cost data, updating Primavera P6, preparing monthly progress vs baseline reports, supporting budget requests, and enforcing project controls governance and assurance.

Provide project performance reporting and analysis on high-value infrastructure projects. Develop WBS and performance baselines, establish progress and cost monitoring, manage earned value and change control, produce control reports, and provide analytical recommendations to clients using P6, Excel and reporting systems.

Provide project performance reporting and analysis on high-value London infrastructure projects. Develop WBS and baselines, establish progress and cost monitoring, update progress, manage change and baselines, produce control reports, and recommend performance improvements.

Lead technical and digital delivery of civil engineering projects focused on highways and drainage. Prepare and review survey specifications, coordinate studies and conceptual designs, ensure regulatory compliance, liaise with stakeholders, support bids and proposals, and manage technical delivery through design to construction.

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 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.

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.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.