381 jobs for “Ai Infrastructure Associate Engineer”
Nebius London
Builds and owns core components of a GPU-native serverless AI platform, spanning control plane, scheduler, runtime, autoscaler and customer-facing APIs. The role is end-to-end and high-ownership, tackling cold-start latency, GPU scheduling under contention, multi-tenant isolation and edge request routing while running the service with SRE practices.
Nebius London
A talent pool for engineers and technical specialists interested in future roles across AI, cloud and high-performance computing, covering areas such as LLM pre- and post-training, inference optimisation, GPU and distributed infrastructure, and backend or platform engineering. It is an expression of interest rather than an application for a specific vacancy, aimed at attendees of the Nebius AI Series in London.
Rise Technical Recruitment London £70,000 – £100,000 pa
Own full-stack product features from scoping through deployment, spanning frontend, backend, APIs, databases and AI-powered workflows. Work directly with founders, designers and customers at an AI startup building financial crime automation for financial institutions, integrating LLMs and agent-based solutions.
CBSbutler Holdings Limited trading as CBSbutler Merseyside £480 – £500 pd
Owns the target architecture and design authority for an enterprise Factory Edge hosting service, defining reference architectures, reusable site patterns and guardrails across VMs, Kubernetes, MES/UNS and AI/GPU workloads. Acts as design authority across infrastructure, cloud, networking, security and OT teams, evaluating platforms such as Azure Local and Dell NativeEdge. Predominantly remote with roughly one day per month on-site at Merseyside factories.
Franklin Bates Glasgow £120,000 – £150,000 pa
Lead three core functions — DevOps & Cloud, Internal IT, and Security & Compliance — driving a transition from legacy on-premises infrastructure to cloud-native SaaS on Azure. Set strategy alongside the CTO while staying technically engaged, modernising CI/CD and IaC, owning ISO 27001 governance, managing budgets and vendors, and championing AI and Agentic AI adoption across technical teams.
Socium Recruitment Manchester £80,000 – £90,000 pa
Owns an established Azure platform and leads a small team of Platform and DevOps engineers, setting technical direction while remaining hands-on. Responsibilities span architecture, infrastructure as code, secure CI/CD, reliability, performance and cloud cost control, with a focus on API health monitoring and using AI to investigate incidents and automate fixes. The environment is built on Azure, Entra ID, Key Vault and Azure DevOps.
SoCode Cambridge £700 – £790 pd
Hands-on contract role improving and automating a complex cloud infrastructure environment across AWS, Terraform, Ansible, GitLab CI and HashiCorp Vault. Involves building reusable Terraform modules, self-service infrastructure workflows with automated approvals and audit trails, and lightweight platform services in Python or Go, collaborating with engineering, security and operations teams.
NVIDIA Cambridge
Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI, HPC and data centre workloads. The role involves contributing features and optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.
Holt Executive London
Hands-on technical leadership role shaping data-driven software platforms, combining software architecture, full-stack development, cloud infrastructure and emerging AI technologies. You'll define architecture for web applications, automated document generation and cloud platforms, mentor engineers and evolve early-stage solutions into enterprise-grade applications within a small collaborative team.
Nigel Wright Group Darlington £75,000 – £80,000 pa
Lead the data function for a building society undergoing technology transformation, reporting to the CFO and working closely with IT. Initially focus on understanding the existing landscape, defining architecture and setting principles, then building a modern Azure-based data platform with governance, semantic layers and self-service reporting. Also develop the data team, champion data literacy and lay foundations for future AI enablement.
CrowdStrike London
Builds and maintains a high-performance, fault-tolerant production backbone network spanning multiple cloud providers, covering IP and optical technologies that connect data centres and edge sites. Owns improvement initiatives end to end, from funding and planning to operational support, and drives capacity planning, automation and reliability work while participating in a 24x7 on-call rotation.
CrowdStrike London
Designs, implements and operates a global multi-vendor, multi-cloud and hybrid data center network, covering subnetting, VPC peering, direct connects and hub-spoke topologies. Builds IaC and automation tooling in Ansible, Terraform, Python and Go within CI/CD pipelines, and handles complex production troubleshooting and on-call rotations.
ECM Selection Cambridge £60,000 – £75,000 pa
Design and implement secure, resilient cloud platforms on the Microsoft stack for a global engineering firm, working across microservices, REST APIs and service-oriented architectures. The role sits in a Cambridge-based team with a hybrid pattern of two days per week homeworking, and involves modern practices such as CI/CD, Infrastructure as Code, Kubernetes and containers, with openness to AI-assisted development tools.
Databricks London
Owns the end-to-end technical strategy for enterprise accounts, leading architecture discussions and designing scalable lakehouse, streaming and ML/AI solutions on the Databricks platform. Acts as a trusted advisor to customer architects and engineering leads, driving platform adoption and competitive wins while developing a declared technical specialisation.
Databricks London
Own the end-to-end technical strategy for enterprise accounts, leading architecture discussions and designing scalable lakehouse, streaming and ML/AI solutions on the Databricks platform. Act as a trusted advisor to customer architects and engineering leads, driving platform adoption and competitive wins while developing a declared technical specialisation.
