Top Infrastructure Engineer Jobs in London

Senior Cost Engineer supporting major energy and infrastructure programs, including nuclear, renewables, transmission, utilities, and low-carbon projects. Responsibilities include cost control, project-controls integration, stakeholder collaboration, change management, performance oversight, leadership, coaching, and mentoring. The role requires experience with NEC3/4 or FIDIC contracts, major programs or portfolios, and coordination with scheduling, risk, reporting, and change-control functions.

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 Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

As a Software Engineer in Infrastructure Reliability, you'll design and build resilient systems, optimize performance, improve automation, and collaborate with teams to enhance infrastructure reliability.

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

Ensure availability, reliability and scalability of AWS-based services. Manage IaC, CI/CD for containerised and serverless apps, monitor with Prometheus/Grafana/CloudWatch, respond to incidents, drive cost optimisation and platform improvements.

Design, automate, secure, and operate AWS and Azure cloud infrastructure supporting AI and generative AI platforms. Build Terraform-based infrastructure, manage networking, identity, containers, Kubernetes, monitoring, governance, and cost controls. Support production operations, incident response, troubleshooting, documentation, and compliance in partnership with AI, Data, Security, and Application teams.

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 technical and digital delivery of civil engineering projects focused on highways, drainage, utilities, earthworks, and flood risk. Responsibilities include preparing and reviewing surveys, coordinating infrastructure studies and designs, securing regulatory approvals, supporting bids and proposals, managing project delivery, and communicating technical solutions with clients, contractors, and stakeholders.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

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.

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.

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.

Lead and deliver large-scale distributed infrastructure projects from ambiguous requirements to production. Make architecture decisions, ensure reliability, scalability, and security, collaborate with research/product teams, set technical standards, improve operational processes, and mentor engineers.

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

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

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.

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

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.

Build and maintain the control planes, automation, and observability for a global fleet of machines. Develop production-quality Go services for provisioning, health checks, upgrades, and incident remediation. Architect high-throughput, low-latency networking, improve utilization and power-to-performance, and collaborate with product and platform teams on storage-aware scheduling and developer-facing features.