51 to 65 of 65 AWS Certification Jobs in the East of England

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 ...

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 ...

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 ...

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 ...

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 ...

resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing … ensuring accuracy during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

building predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, ADF). Data Governance: Understanding of GDPR, PII, and secure data management principles. Communication: Strong data … business intelligence is an advantage. Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field. Certifications in DOMO, AWS, Azure, or Data Analytics are highly preferred Required education Bachelor’s degree in information technology, Computer Science, Data Science, or a related field. ...