Job Detail

CloudOps Engineer with AI Specialization in AWS

Others Contractor
ID: #10716
Posted: 2026-03-19
Salary

Description

## Full Description • **Freelance CloudOps Engineer with AI Specialization (Glasgow – Hybrid)*** Are you an experienced CloudOps Engineer with a passion for AI and AWS? We are looking for a freelance specialist based in Glasgow to help design, automate, and optimize cutting-edge AI solutions in the cloud. This is a hybrid role (2 days on-site) with an immediate start and an initial 6-month contract (extendable). What You’ll Do: • Manage and optimize AWS cloud infrastructure, including EC2, Lambda, S3, RDS, DynamoDB, and more. • Deploy and orchestrate AI models in containerized environments using Kubernetes (EKS). • Implement serverless architectures using AWS Lambda for AI inference. • Automate infrastructure with Terraform and AWS SDK (Boto3 in Python). • Develop CI/CD pipelines for AI model deployment using AWS CodePipeline, GitHub Actions, or Jenkins. • Monitor system health with Amazon CloudWatch, Prometheus, and Grafana. • Manage log analysis using AWS CloudTrail, OpenSearch, and ELK Stack. • Design and optimize MLOps pipelines with Amazon SageMaker. • Integrate generative AI models into applications using Amazon Bedrock. • Secure AI environments with AWS IAM, KMS, WAF, and Shield. • Ensure compliance with ISO 27001, SOC 2, GDPR, and HIPAA. What You Bring: • 5+ years of CloudOps/DevOps experience on AWS. • 2+ years of experience working with AI/Machine Learning projects in the cloud. • Expertise in serverless architectures, microservices, and containerization. • Hands-on experience with Python, Bash, TensorFlow, and PyTorch. • Strong problem-solving skills and the ability to work in cross-functional teams. • Excellent communication skills to bridge AI, Cloud, and DevOps requirements. Recommended Certifications: • ✅ AWS Certified Solutions Architect – Professional • ✅ AWS Certified DevOps Engineer – Professional • ✅ AWS Certified Machine Learning – Specialty • ✅ Certified Kubernetes Administrator (CKA) Why Join Us? • Work on cutting-edge AI and CloudOps projects. • Hybrid flexibility – 2 days on-site in Glasgow. • Exciting and fast-paced environment. • 6-month contract with the possibility of extension. • Start ASAP and make an immediate impact. If you’re a CloudOps expert with AI specialization and thrive in AWS environments, we’d love to hear from you!

Hard Skills 0

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Soft Skills 0

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API Logs for this Job
Query Country Status Response ms Created
CloudOps Engineer with AI Specialization in AWS fallback 422 2026-03-21 21:03
junior deep learning engineer in Glasgow gb duplicate 3915 2026-03-21 17:12
junior AI developer in Glasgow gb duplicate 4659 2026-03-21 17:07
junior AI engineer in Glasgow gb duplicate 5274 2026-03-21 17:05
junior ML engineer in Glasgow gb duplicate 4347 2026-03-21 17:01
junior machine learning engineer in Glasgow gb processed 8093 2026-03-21 16:58
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  "job_description": "## Full Description\n\n• **Freelance CloudOps Engineer with AI Specialization (Glasgow – Hybrid)***\n\nAre you an experienced CloudOps Engineer with a passion for AI and AWS? We are looking for a freelance specialist based in Glasgow to help design, automate, and optimize cutting-edge AI solutions in the cloud. This is a hybrid role (2 days on-site) with an immediate start and an initial 6-month contract (extendable).\n\nWhat You’ll Do:\n\n• Manage and optimize AWS cloud infrastructure, including EC2, Lambda, S3, RDS, DynamoDB, and more.\n\n• Deploy and orchestrate AI models in containerized environments using Kubernetes (EKS).\n\n• Implement serverless architectures using AWS Lambda for AI inference.\n\n• Automate infrastructure with Terraform and AWS SDK (Boto3 in Python).\n\n• Develop CI/CD pipelines for AI model deployment using AWS CodePipeline, GitHub Actions, or Jenkins.\n\n• Monitor system health with Amazon CloudWatch, Prometheus, and Grafana.\n\n• Manage log analysis using AWS CloudTrail, OpenSearch, and ELK Stack.\n\n• Design and optimize MLOps pipelines with Amazon SageMaker.\n\n• Integrate generative AI models into applications using Amazon Bedrock.\n\n• Secure AI environments with AWS IAM, KMS, WAF, and Shield.\n\n• Ensure compliance with ISO 27001, SOC 2, GDPR, and HIPAA.\n\nWhat You Bring:\n\n• 5+ years of CloudOps/DevOps experience on AWS.\n\n• 2+ years of experience working with AI/Machine Learning projects in the cloud.\n\n• Expertise in serverless architectures, microservices, and containerization.\n\n• Hands-on experience with Python, Bash, TensorFlow, and PyTorch.\n\n• Strong problem-solving skills and the ability to work in cross-functional teams.\n\n• Excellent communication skills to bridge AI, Cloud, and DevOps requirements.\n\nRecommended Certifications:\n\n• ✅ AWS Certified Solutions Architect – Professional\n\n• ✅ AWS Certified DevOps Engineer – Professional\n\n• ✅ AWS Certified Machine Learning – Specialty\n\n• ✅ Certified Kubernetes Administrator (CKA)\n\nWhy Join Us?\n\n• Work on cutting-edge AI and CloudOps projects.\n\n• Hybrid flexibility – 2 days on-site in Glasgow.\n\n• Exciting and fast-paced environment.\n\n• 6-month contract with the possibility of extension.\n\n• Start ASAP and make an immediate impact.\n\nIf you’re a CloudOps expert with AI specialization and thrive in AWS environments, we’d love to hear from you!",
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