51 to 75 of 1,203 Amazon EC2 Jobs in the UK

that will help OD remain compliant with our various certifications also. 5+ years in DevOps/SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration More ❯

that will help OD remain compliant with our various certifications also. 5+ years in DevOps/SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration More ❯

OD remain compliant with our various certifications also. Required Skills & Experience 5+ years in DevOps/SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration More ❯

implementation, with hands-on experience. Experience with Infrastructure as Code (Terraform). Proficiency in DevOps practices using tools like Jenkins and Bitbucket. Experience with Amazon AWS services: EC2, VPC, Lambda, RDS, S3, IAM, and more. Experience with database services: Amazon Aurora, DynamoDB, PostgreSQL, MySQL. Python scripting skills for automating AWS services. Knowledge of enterprise databases More ❯

hands-on technical leadership role with advanced experience in at least most of the following technologies Cloud Platforms: AWS (Amazon Web Services): Knowledge of services like S3, EC2, Lambda, RDS, Redshift, EMR, SageMaker, Glue, and Kinesis. Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure Functions, Azure SQL Database, HDInsight, and Azure Machine … Azure Purview. Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault. Data Analytics & BI: Visualization Tools: Tableau, Power BI, Looker, and Grafana. Analytics Services: AWS Athena, Amazon QuickSight, Azure Stream Analytics. Development & Collaboration Tools: Version Control: Git (and platforms like GitHub, GitLab). CI/CD Tools: Jenkins, Travis CI, AWS CodePipeline, Azure DevOps. Other Key More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design …/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production More ❯

maintaining high availability, scalability, and security of our systems hosted on AWS while streamlining DevOps practices across our teams. Requirements Key Responsibilities Design, implement, and manage AWS cloud infrastructure (EC2, VPC, IAM, RDS, S3, CloudWatch, etc.). Maintain and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS Code Pipeline. Perform system administration tasks for … for maintaining high availability, scalability, and security of our systems hosted on AWS while streamlining DevOps practices across our teams. Key Responsibilities • Design, implement, and manage AWS cloud infrastructure (EC2, VPC, IAM, RDS, S3, CloudWatch, etc.). • Maintain and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS Code Pipeline. • Perform system administration tasks for More ❯

data pipelines integrating PHP, and C applications using .NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go … for: End-to-end data migration architecture ( on-premise to cloud or cloud-to-cloud). Designing scalable and secure systems using AWS services like S3, Lambda, and EKS, EC2, VPC, RDS. Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services. We're also looking for someone with some experience in AI to help … s in Computer Science , Information Systems, or equivalent experience. 7+ years in software or data engineering, with strong recent experience in cloud data migrations. Proficient with MySQL, OOP, AWS (EC2, S3, Lambda). Experience with PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization More ❯

Experience: 3+ years of experience in a DevOps or related engineering role. Cloud Platforms: Strong experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like EC2, S3, RDS, and Kubernetes. CI/CD Tools: Proficiency with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Automation: Expertise in infrastructure-as-code (IaC) tools More ❯

experience in DevOps roles, specifically with cloud platforms (AWS), infrastructure automation (Terraform, Terragrunt), CI/CD tools (Jenkins), and container orchestration (Kubernetes). Skills: Strong experience with AWS services (EC2, S3, RDS, Lambda, etc.) Proficient in Terraform and Terragrunt for infrastructure as code. Hands-on experience with Jenkins for continuous integration and deployment. Expertise in containerization technologies ( Docker ) and More ❯

up to £640 P/D Inside IR35. Key Responsibilities Architect, implement, and manage infrastructure using Terraform , ensuring security, scalability, and reliability. Configure and optimize AWS services such as EC2, S3, Lambda, IAM, Redshift, and VPC to support business needs. Develop and maintain CI/CD pipelines using Git/GitLab and Jenkins for automated deployments and testing. Apply More ❯

CD pipelines using Jenkins and Git, ensuring efficient deployment of applications. Manage VPC networking, Route 53 DNS configurations, and AWS security best practices. Work with AWS services such as EC2, RDS, S3, ensuring robust infrastructure performance. Deploy and manage containerised applications using Docker within Kubernetes environments. Implement monitoring and alerting solutions to ensure system reliability and performance. Work collaboratively More ❯

CD pipelines using Jenkins and Git, ensuring efficient deployment of applications. Manage VPC networking, Route 53 DNS configurations, and AWS security best practices. Work with AWS services such as EC2, RDS, S3, ensuring robust infrastructure performance. Deploy and manage containerised applications using Docker within Kubernetes environments. Implement monitoring and alerting solutions to ensure system reliability and performance. Work collaboratively More ❯

as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands More ❯

Science, Data Science, Engineering, or a related field 3+ years of experience in machine learning operations, data engineering, or related roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/ More ❯

CD pipelines using Jenkins and Git, ensuring efficient deployment of applications. Manage VPC networking, Route 53 DNS configurations, and AWS security best practices. Work with AWS services such as EC2, RDS, S3, ensuring robust infrastructure performance. Deploy and manage containerised applications using Docker within Kubernetes environments. Implement monitoring and alerting solutions to ensure system reliability and performance. Work collaboratively More ❯

implementing microservices-based systems . Strong understanding of architectural patterns like CQRS , Event Sourcing , SAGA , and Domain-Driven Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving More ❯

implementing microservices-based systems . Strong understanding of architectural patterns like CQRS , Event Sourcing , SAGA , and Domain-Driven Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving More ❯

and implementation Proficiency in both MySQL and PostgreSQL databases System Administration & Infrastructure Working knowledge of Linux systems (command line, file permissions, process management) Hands-on experience with AWS services (EC2, S3, RDS, Lambda, etc.) Knowledge of queue systems (SQS, Redis, Beanstalk, or similar) Understanding of load balancing, caching strategies, and CDN implementation Experience with containerization (Docker) and orchestration tools More ❯