Cloud Computing Jobs

Nebius · London

Owns a platform-level optimization pillar such as quantization, speculative decoding, KV-cache optimization, or long-context serving, taking models from artifact to fast, cost-efficient endpoints. Builds benchmarking and rollout frameworks, tunes engines like vLLM and TensorRT-LLM, and sets technical direction for MLEs, kernel and infrastructure engineers.

Nebius · Harlow

Hands-on role maintaining and optimising IT infrastructure in a GPU cloud data centre, covering server and network hardware troubleshooting, installations, upgrades, decommissioning, and fiber optic and patch cabling. Involves shift work (day and night), on-call rotations, RMA handling, and possible travel between data centres.

NScale · London

Hands-on role architecting and building integrations across core business systems like ERP, HRIS, CRM and finance, using APIs, webhooks, ETL and platforms such as Palantir Foundry. You'll define integration patterns, own the development lifecycle, and monitor production pipelines in a fast-scaling, pre-IPO environment.

NScale · United Kingdom

Lead end-to-end delivery of Nscale's wide-area network across Europe, covering backbone expansion, new site and region bring-up, capacity upgrades and network optimisation. Coordinate Network Engineering, Data Centre Operations, carriers and commercial teams, managing dark fibre, wavelength and hardware vendors through provisioning and issue resolution. Sits in the Deployment build organisation, with regular travel to sites and partners.

Amazon · London

Builds and operates large-scale, high-availability cryptography, access and identity services on AWS, with a strong focus on automation to reduce manual toil. Day-to-day work spans Linux troubleshooting, networking diagnostics, capacity metrics and AI tooling, while mentoring junior engineers and acting as a subject matter expert across multiple AWS services.

Amazon · London

Lead teams of technicians running AWS data centre infrastructure, owning the full lifecycle from rack installation and break-fix maintenance to decommissioning. The role involves adopting high-density GPU, AI accelerator and liquid-cooling platforms, using generative AI to automate workflows, and managing vendors, safety standards and service methodologies.

Spectrum IT Recruitment · Southampton · £60,000 – £80,000 pa

Hands-on technical leadership role guiding a team of full stack engineers while remaining close to the code. You'll set technical direction across frontend, backend, cloud and data, and champion an AI-first engineering culture using tools like GitHub Copilot, Claude Code and Cursor throughout the development lifecycle.

Holt Executive · London

Hands-on full-stack role building data-driven applications, cloud platforms and AI-enabled tools within a small collaborative engineering team. Day to day spans Python and TypeScript development, AWS services, Terraform infrastructure, CI/CD and LLM integrations, with input into architectural decisions and scaling early-stage applications into production platforms.

Profile 29 · London · £60,000 – £70,000 pa

Design, build and operate resilient AWS cloud infrastructure underpinning critical public-sector services, with heavy focus on automation, reliability and security. Work across CI/CD pipelines, Terraform and Kubernetes, event-driven systems like Kafka, databases such as PostgreSQL and Elasticsearch, and IdAM with Keycloak. Join a growing platform and delivery team, embedding DevSecOps and observability while supporting incident management and root-cause analysis.

Appcast Enterprise · Worthing

Owns the health, security and governance of Microsoft Power Platform, RPA and integration tooling, covering capacity planning, licensing, DLP and access controls. Builds CI/CD pipelines and ALM practices in Azure DevOps and GitHub, and supports advanced AI such as Copilot agents, RAG and Azure OpenAI. Works across cloud, security, data and architecture teams in a regulated environment.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £73,000 – £84,000 pa

Owns and oversees a cloud-based enterprise data platform built on Azure, acting as technical lead for platform decisions, scalability and performance. Works with Infrastructure, Security, Architecture and Engineering teams on reliability, governance, monitoring and operational excellence, troubleshooting complex platform, networking, storage and integration issues. Drives CI/CD, automation and Infrastructure-as-Code best practice and supports Data Engineers by removing technical barriers.

Harnham - Data and Analytics Recruitment · London · £90,000 – £110,000 pa

Design and build scalable, reliable data infrastructure and pipelines that support analytics and machine learning use cases. Work closely with data science and analytics teams to prepare data for advanced modelling, building production-ready cloud data services while applying best practice in data quality and lifecycle management. The role offers significant ownership of production-grade platforms and close collaboration with data and AI specialists.

HAYS Specialist Recruitment · London · £70,000 – £90,000 pa

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, supporting ML and GenAI infrastructure in agile squads.

Stratospherec Limited · Petworth · £65,000 – £75,000 pa

Hands-on senior engineering role migrating an established desktop financial product to a cloud-native, multi-tenant SaaS platform on Azure. Combines full-stack .NET/C# and Vue development with ownership of architectural decisions, technical standards, mentoring and AI-supported features such as retrieval, semantic search and agents.

Innova Recruitment · Manchester · £70,000 – £80,000 pa

Owns the platform engineering practice, acting as technical authority for reliability, observability and engineering quality while reporting to the CTO. Defines standards and tooling, leads an observability rollout, improves Azure IaC and CI/CD pipelines, and coaches development teams rather than owning every deployment.