AI/ML AWS Engineer: SageMaker, Bedrock & Terraform Pro

Cloud Bridge Tech Recruitment; Greater London; On-site; GBP 60,000 - 75,000; Full time

Job summary

Cloud Bridge seeks a hands-on AWS Engineer (AI/ML) to join our Professional Services delivery team in London. You will deliver GenAI and ML workloads on AWS, including landing zones, migrations, and modernisation using Bedrock, SageMaker, and Terraform.

Your primary focus is AI/ML delivery on AWS, while contributing to broader AWS engagements and infrastructure. You will operate in a structured SOW-driven team.

Qualifications

• 3+ years hands-on AWS experience with AI/ML workloads.
• Strong Python engineering skills for production ML pipelines.
• Experience with large language models and agentic AI patterns.
• Solid understanding of core AWS services: EC2, VPC, Lambda, IAM, S3.
• IaC using Terraform (preferred) or CloudFormation/CDK.

Responsibilities

• Build and deploy AI agents using Bedrock and related frameworks.
• Develop ML pipelines on SageMaker – data prep, tuning, deployment.
• Implement production infrastructure as code with Terraform.
• Create evaluation harnesses and CI-runnable test suites for AI/ML systems.
• Deliver Landing Zone/multi-account environments with Control Tower/Terraform.

Skills

AWS

Python

AI/ML

SageMaker

Bedrock

Terraform

CI/CD

Security

Education

Cloud certifications (optional)

Tools

Terraform

CloudFormation/CDK

Strands SDK

Bedrock AgentCore

Amazon Quick

Job description

Cloud Bridge seeks a hands-on AWS Engineer (AI/ML) to join our Professional Services delivery team in London. You will deliver GenAI and ML workloads on AWS, including landing zones, migrations, and modernisation using Bedrock, SageMaker, and Terraform.

Your primary focus is AI/ML delivery on AWS, while contributing to broader AWS engagements and infrastructure. You will operate in a structured SOW-driven team.