5 of 5 Contract AWS Jobs in the East of England

environmentsExperience with Infrastructure as Code (Terraform, Ansible)Ability to build tooling or automation using PythonProven experience operating reliable, scalable production systemsNice to HaveExposure to AWS, Azure, or GCPFamiliarity with CI/CD or Git-based workflowsExperience with AI/ML or agent-based tooling in operationsUnderstanding of identity, access control ...

driven service management capabilities Platform upgrades, migrations, performance optimisation and troubleshooting Strong stakeholder engagement and technical leadership skills Desirable: BMC certifications Azure, AWS or hybrid cloud experience Python, PowerShell, REST API and automation tooling knowledge Experience within large-scale retail or enterprise transformation programmes Agile and DevOps exposure Excellent ...

Experience 6+ years' experience in Solution Architecture within large enterprise environments Strong stakeholder management across technical and business functions Expertise in cloud-native architectures (AWS preferred), microservices, APIs and event-driven systems Experience leading multi-team transformation programmes Strong understanding of Agile and product-led delivery models TOGAF or similar ...

Mapping + Discovery (incl. troubleshooting) Strong CMDB skills - relationships, CI classes, dependency modelling Experience integrating data (APIs, transform maps, Integration Hub etc.) Cloud exposure (AWS/Azure/GCP)/modern infra environments. Working Policy Hybrid working places are in place for this role, with 2 days onsite (Cambridge) required ...

Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation. Ensure governance, compliance, documentation … monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred). Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn). Proficiency in building automated, reliable ...