3 of 3 Remote Contract AWS CDK Jobs

Hands-on experience with SQL-based and NoSQL (Document-based) databases. Deep understanding of AWS services and cloud environments. Familiarity with AWS Cloud Development Kit (CDK)and services like Lambda, SQS, S3, Cognito, EventBridge, and more. Experience with DevOps practices, including CI/CD pipelines, Docker, and GitHub Actions. Strong knowledge of security best practices … convey complex concepts to diverse audiences. Detail-oriented with a commitment to delivering high-quality, reliable work. Client Tech Stack: Languages : Node.js, TypeScript, React Databases : PostgreSQL, DynamoDB, Redis AWS Services : Lambda, SQS, S3, Cognito, EventBridge, CloudFormation, Fargate, SES, CodeBuild, CodePipeline, CloudFront, API Gateway, and more. What happens next? One of our Recruitment Consultants will be in touch and More ❯

in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning More ❯

extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working On: Building … production-grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with … async/await, and debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine-tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment More ❯