Remote AWS AI/ML Engineer – GenAI & SageMaker

Cloud Bridge; City of Edinburgh; On-site; GBP 68,000 - 83,000; Full time

Job summary

Cloud Bridge is seeking a hands-on AWS Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements.

You will work within SOW-driven teams, delivering production pipelines, security hardening and clear technical documentation for stakeholders. This role is UK-based and fully remote.

Qualifications

• 3+ years hands-on experience building solutions on AWS, including AI/ML workloads.
• Strong Python engineering skills – production-grade ML pipelines, data processing, API integrations and evaluation frameworks.
• Experience with large language models and agentic AI patterns – prompt engineering, RAG, tool use and agent frameworks.
• Solid understanding of core AWS services: EC2, VPC, Lambda, EventBridge, DynamoDB, S3, IAM, CloudWatch, RDS.
• Infrastructure as Code using Terraform (preferred) or CloudFormation/CDK.
• Experience building CI/CD pipelines and automated testing.
• Comfortable working within structured delivery teams, delivering to SOW-scoped timelines.

Responsibilities

• Build and deploy AI agents using Bedrock Agents, Strands framework and Guardrails.
• Develop and operate ML training pipelines on SageMaker – data prep, model tuning, evaluation and deployment.
• Implement production IaC using Terraform – Lambda, EventBridge, DynamoDB, S3, SageMaker Pipelines.
• Create evaluation harnesses and CI-test suites for AI/ML systems.
• Implement MLOps pipelines – model registry, deployment automation, drift monitoring, retraining triggers.
• Deliver Landing Zone and multi-account environments using Control Tower and Terraform.
• Contribute to migrations and modernization engagements across AWS services.
• Design data engineering pipelines for ML training data and governance.

Skills

AWS AI/ML

Python

LLMs/Agent frameworks

Terraform

CI/CD

SageMaker

Bedrock

Security best practices

Lambda

CloudWatch

Tools

Terraform

SageMaker

Bedrock

Lambda

EventBridge

DynamoDB

S3

Job description

Cloud Bridge is seeking a hands-on AWS Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements.

You will work within SOW-driven teams, delivering production pipelines, security hardening and clear technical documentation for stakeholders. This role is UK-based and fully remote.