Top Infrastructure Engineer Jobs in London

Provides project controls support for major infrastructure projects, including developing work breakdown structures and performance baselines, monitoring cost and progress, managing change, producing control reports, analyzing performance, and recommending improvements. The role works with cost and planning engineers and may serve as the client’s day-to-day contact.

Lead project controls activities on major London infrastructure projects. Develop work breakdown structures and performance baselines, establish progress and cost monitoring methods, produce control reports, analyze performance, and recommend corrective actions. The role requires expertise in earned value, progress updates, cost and change control, baseline management, reporting, Primavera P6, Excel, financial systems, procurement systems, and project control databases.

Supports project controls teams by updating Primavera P6 schedules, collating cost and progress data, preparing monthly performance reports, and assisting with project controls governance and assurance. The role requires analytical, communication, time-management, and project controls skills, along with the ability to work independently and collaboratively across infrastructure projects.

Build and operate Kubernetes-based infrastructure and tooling to support development, testing, deployment and scaling of Graphcores ML software. Manage cloud infrastructure, CI/CD practices, and collaborate with software teams to improve reliability and observability of HPC AI platforms.

Leads UK-hosted cloud infrastructure design and deployment across cloud, on-premise, air-gapped, and secure environments. Builds infrastructure as code, manages Kubernetes and CI/CD systems, hosts approved AI models, improves developer tooling, supports Hardware in the Loop integration, and troubleshoots distributed systems. Partners with product managers, customers, and global infrastructure teams to deliver secure technical solutions for defense and national security programs.

Design, build, and maintain scalable, fault-tolerant serving platforms for LLMs. Integrate models for production and research, implement monitoring and observability, perform architecture reviews, and lead cross-functional end-to-end projects enabling LLM capability discovery and high-performance serving.

Design, operate, and scale large distributed systems for telemetry processing. Build automation, use AI tooling to reduce toil, ensure availability and disaster recovery, participate in on-call incident response, troubleshoot production AWS/Kubernetes environments, and collaborate with application teams to meet SLOs/SLAs.

Lead and implement core infrastructure platform initiatives (multi-account/region Kubernetes clusters, MLOps, standardized deployments, authentication). Collaborate with product engineering stakeholders to scope requests, remove operational toil via automation, drive platform adoption, and mentor engineers to improve developer productivity across the organization.

Lead the development of AI/ML infrastructure for simulations using large foundation models. Collaborate on realistic simulation improvements and mentor junior engineers.

Design, build, and operate a secure, high-performance sandboxing platform and client library for code execution across containerized and virtualized environments. Ensure strong isolation, optimize latency and resource use, debug and reduce errors, respond to incidents, and drive roadmap and architecture reviews while partnering with internal users.

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

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure (Terraform/AWS), support CI/CD, and enable ML application deployment, orchestration, and accelerator hardware management.

Lead ownership of Azure cloud infrastructure: design and enforce RBAC, build monitoring and centralized logging, optimise scalability and cost, own CI/CD and IaC (Terraform/Bicep), mentor engineers, and implement security and observability best practices for a growing AI healthtech platform.

Lead technical design and digital delivery of civil infrastructure projects (highways, drainage, utilities). Prepare survey specs, check studies and conceptual designs, liaise with regulators and stakeholders, support bids and project meetings, and coordinate delivery through construction.

Lead technical design and digital delivery of highways and drainage infrastructure for residential and wider schemes. Prepare and review survey specs, produce studies and conceptual designs (drainage, highways, utilities, earthworks, flood risk), coordinate stakeholder and regulator engagement, support bids, attend project meetings, and provide construction-stage support and project management.

Own end-to-end customer deployments of Sierra's AI platform: architect, deploy, upgrade, and operate infrastructure in customer cloud environments; build repeatable tooling, runbooks, and automation; partner with engineering, security, sales, and customer success to meet security, compliance, and operational requirements.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Own end-to-end deployment lifecycle for enterprise customers: architect, deploy, upgrade, and operate Sierra’s AI platform across customer cloud environments. Build repeatable deployment tooling, runbooks, and processes while collaborating with engineering, product, sales, and customer security teams to meet compliance and operational requirements.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.

Lead design, architecture and support for the Financial Times' collaboration tooling. Act as AI subject-matter expert, manage vendors, contribute to roadmaps, set engineering standards, escalate complex issues, and promote cross-team collaboration and best practices.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, improving platform observability, debugging production issues, responding to incidents, conducting root cause analysis, shaping the roadmap, leading architecture reviews, and owning infrastructure projects end to end.

Migrate Finance Portal, SSRS, and ASP.NET/.NET applications from Windows Server 2012 to supported platforms. Provision Windows environments, configure IIS, certificates, networking, and deployment pipelines; automate builds and validation with PowerShell; execute testing, production cutovers, rollback planning, hypercare, troubleshooting, and legacy server decommissioning while coordinating across infrastructure, database, network, security, and application teams.

Own Pigment’s product, infrastructure, and CI/CD security roadmap as a hands-on technical leader. Responsibilities include threat modeling, secure architecture and code reviews, vulnerability management, assurance testing, detection engineering, incident response, and secure SDLC guidance. The role partners closely with product, engineering, and SRE teams, designs security for AI features and agent identities, strengthens least privilege, and builds automation across cloud and production environments.