5 of 5 Permanent AWS Certification Jobs in Bath

Senior AWS Engineer £60,000 Remote – UK Wide Are you an experienced AWS Engineer looking for a fully remote role where you can work on real, production-scale cloud environments — not just theory? This is an opportunity to join a leading UK cloud and managed services provider known … delivering secure, resilient AWS platforms for enterprise customers. You'll sit within a highly skilled AWS Cloud Services team, helping design, migrate, and evolve customer environments while driving best-practice DevOps and automation. You'll be trusted to make an impact, influence technical decisions, and work on meaningful ...

clearly with both engineers and non-engineers Nice to have (not blockers): Experience in MSP or complex multi-client environments Exposure to cloud integrations (AWS/Azure) Fortinet certifications (NSE5–8/FCP/FCSS) Location: UK - Remote Contract: 3 months Rate: to £450 per day Start: week ...

storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What ...

Senior Cloud DevOps Engineer - Fully Remote (UK only) - Up to 85k High impact role. Modern AWS environment. Real engineering influence. Our global tech client builds advanced cloud and data platforms for large scale, distributed environments. This group is investing heavily in AWS, automation and data driven solutions … challenges and wants to work with a wide range of cloud, container and data technologies. Your core responsibilities Cloud Engineering Design, build and maintain AWS environments and ensure they meet industry security standards. DevOps Enablement Promote DevOps culture, automation thinking and strong engineering practice across the team. Security ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...