Top Infrastructure Engineer Jobs in London

Own the stability and operation of secure, large-scale production infrastructure. Responsibilities include observability, alerting, configuration management, upgrades, incident response, software deployments, workload migrations, troubleshooting, performance tuning, and automation. The role partners with engineering and delivery teams on system design, uses production code and container orchestration, and participates in an on-call rota approximately every five to six weeks.

Lead the Platform group in designing, operating, and improving cloud infrastructure for research, development, production, and machine-learning training and inference. Own Kubernetes, infrastructure as code, deployment tooling, monitoring, automation, software lifecycle practices, and architectural decisions. Collaborate with engineers, scientists, ML researchers, product, business development, and operations teams to deliver reliable infrastructure in a fast-moving environment.

Build and evolve large-scale machine learning infrastructure for distributed training and inference workloads. The role involves improving platform reliability, deploying research-supporting agents, enabling scalable ML development, and partnering with engineering, research, and product teams. Strong Python and large-scale infrastructure experience are essential; Kubernetes, GCP, internal platform development, and multi-cloud experience are advantageous. The position follows a hybrid model requiring three office days per week in London.

Supports infrastructure project controls through schedule updates, cost tracking, progress measurement, monthly reporting, and governance assurance. The role gathers data from multidisciplinary teams, maintains Primavera P6 schedules and cost reports, analyzes performance against baselines, and assists the Project Controls Manager. Strong communication, analytical, organizational, time-management, and project controls skills are required.

Provides project controls, performance reporting, and analysis for major London infrastructure projects. Responsibilities include developing work breakdown structures and performance baselines, monitoring cost and progress, managing change and baselines, producing project control reports, analyzing performance, and recommending corrective actions. The role requires collaboration with cost and planning engineers and may involve direct client interaction.

Provide project controls support for major London infrastructure projects. Develop work breakdown structures and performance baselines, establish progress and cost monitoring methods, produce control reports, analyze performance, and recommend improvements. Responsibilities include earned value management, progress updates, cost and change control, baseline management, and client-facing reporting across infrastructure programs.

Develop and maintain high-performance, reliable software systems and reusable infrastructure components. Solve complex challenges involving concurrency, memory management, system performance, and reliability. Own technical designs, contribute to architecture, investigate production issues, improve system robustness, collaborate with quantitative researchers and engineers, and support code reviews, testing, and engineering best practices.

Lead the technical side of complex B2B infrastructure sales across the UK, Spain, and France. Conduct technical discovery, design cloud and virtualization solutions, deliver demonstrations, workshops, trials, and proofs of concept, and address architecture, deployment, security, scalability, and migration questions. Partner with sales, product, engineering, support, and services teams while responding to proposals, supporting commercial close, and contributing to technical sales materials and customer insights.

Own and operate globally distributed GPU infrastructure for model training, evaluation, and serving. Responsibilities include running Kubernetes GPU clusters, optimizing scheduling and placement, repairing unhealthy nodes, managing cloud capacity, and debugging Linux, hardware, storage, and networking failures. The role also involves designing GPU clusters, collaborating with research and product teams, and improving compute reliability and utilization.

Own and operate GPU infrastructure for model training, evaluation, and serving. Responsibilities include running Kubernetes GPU clusters, improving scheduling and placement, repairing unhealthy nodes, managing cloud capacity, and debugging Linux, GPU, storage, and networking failures. The role partners with infrastructure, research, product, and cloud-provider teams to build globally distributed compute systems.

Lead infrastructure software engineering across design, development, testing, and troubleshooting. Build secure, resilient infrastructure patterns primarily in Red Hat Linux, implement Infrastructure as Code, improve automation and operational stability, and support SDLC tooling and CI/CD practices. Evaluate vendor and architectural solutions, guide responsible use of AI-assisted development tools, and contribute hands-on expertise within an agile team.

Build infrastructure for post-training open-weight language models, including distributed training, RL rollouts, agent environments, evaluation systems, data management, experiment tracking, and production model serving. Own performance, reliability, GPU utilization, checkpointing, failure recovery, observability, latency, and cost. Partner closely with researchers to convert experimental workflows into dependable systems.

Supports and develops digital infrastructure across the UK and Ireland, including Windows, Linux, networking, web services, and digital advertising platforms. Responsibilities include third-line incident resolution, root-cause analysis, change and deployment management, technical documentation, supplier coordination, operational support, and planned overnight installations. The role also requires collaboration with project, technology, and field installation teams while maintaining reliable, safe service delivery.

Build and scale a secure enterprise AI development platform across cloud environments. Design cloud architectures, develop Python APIs and reusable generative AI solutions, deploy infrastructure with Terraform and CI/CD, create developer self-service tooling, and guide teams in adopting AI technologies, models, and frameworks.

Provides technical leadership and engineering assurance for HV and EHV utility infrastructure across EMEA. Responsibilities include grid connections, substations, transmission and distribution systems, cable networks, protection schemes, power studies, design reviews, contractor oversight, commissioning, energisation, utility engagement, technical governance, risk management, and evaluation of emerging energy technologies.

Leads project controls activities for energy and infrastructure projects, including cost control, scheduling, risk management, reporting, and change control. The role anticipates client challenges, drives improvements, maintains quality and performance standards, manages resources, mentors team members, and collaborates with stakeholders across the business. Experience with energy or infrastructure projects and NEC3/4 or FIDIC contracts is required.

Lead the design, development, and operation of shared AWS and Kubernetes infrastructure, with a focus on GPU workloads. Set technical direction, build Terraform-based self-service tooling, improve GitOps, observability, reliability, and cost efficiency, and lead complex cross-team initiatives. Write production code, manage cloud networking and identity, support incidents, retire legacy systems, and mentor engineers across Wolt, Deliveroo, and DoorDash.

Prepare and maintain Level 1 and Level 2 schedules, support project teams with planning, progress reporting and contract schedule management, participate in planning meetings, and manage programme milestones and schedule interfaces following NEC contract processes.

Run and expand low-latency infrastructure across global colocation data centers and AWS. Responsibilities include routing and switching, BGP peering, cross-connects, Linux hosts, containers, infrastructure as code, monitoring, alerting, capacity planning, troubleshooting, documentation, incident reviews, and launching new sites. The role includes project coordination, vendor management, occasional data-center visits, scheduled out-of-hours changes, and on-call participation.

Designs, builds, and operates cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, and production readiness across cloud, hybrid, edge, and customer-controlled environments. The role improves platform stability, delivery speed, operational efficiency, and reliability for mission-critical systems.

Maintain, troubleshoot, optimize, and scale physical and virtual server and network infrastructure. Configure Cisco switches, diagnose connectivity and performance issues, manage hardware and Linux systems, monitor infrastructure, and support mission-critical environments. Develop Python automation for network administration and infrastructure deployment while collaborating with senior engineers. Provide occasional out-of-hours support for incidents, deployments, and maintenance windows.

Build production software that provisions and manages GPU hosts and inference clusters through their full lifecycle. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, event-driven automation, and self-healing systems. Partner with inference and ML platform teams to encode cluster requirements, while owning reliability, testing, deployment, and production operations.

Lead infrastructure quality engineering for Azure-based platforms, defining testing strategies, quality gates, and automated validation for IaC, CI/CD pipelines, deployments, rollbacks, and recovery. Test infrastructure under failure, load, degradation, and configuration drift; improve observability, resilience, and release confidence; communicate risks and trade-offs; and mentor QA and infrastructure engineers. The role is not an SRE on-call or incident-management position.

Architect, engineer, and oversee delivery of complex corporate, colocation, and ultra-low-latency trading networks. Responsibilities include lifecycle management of switching, firewalls, load balancers, telemetry, CMDB, and automation platforms; designing software-driven network solutions; managing WAN traffic prioritization and steering; collaborating with project teams and vendors; and maintaining expertise in emerging networking technologies.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.