9 of 9 Remote AWS Lambda Jobs in Scotland

capabilities. Ensure high-quality, maintainable, and accessible software through testing, code quality tools, and best practices. Maintain and improve monitoring, dashboards, deployment, and support procedures. Troubleshoot issues across modern AWS-based systems and legacy ETL/database platforms. Contribute to team practices through pairing, mobbing, code reviews, and process improvement. Share knowledge across wider communities of practice. Mentor and … such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication More ❯

Role/Job title AWS Data Architect Work Location Glasgow Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Hybrid If Hybrid, how many days are required in office? 3 Number of positions 1 Duration of assignment6 Months Any other working conditions - travel/on call/shifts NA The Role We … are looking for an AWS Data Architect who has proven experience with AWS application development and deployment area and strong understanding of data warehouse principles and practices. The AWS Data Architect needs to conduct design workshops and work sessions to gather, analyse business requirements and translate complex business needs into effective AWS-based technical solutions. Your … responsibilities: Create high-level blueprints for managing data assets and design scalable, secure AWS data solutions that align with business objectives. Design and build data models, pipelines, and storage solutions using various AWS data services (e.g., S3, Redshift, Glue, Lambda). Establish data policies, standards, and security controls (like encryption and access management) to ensure data integrity More ❯

more. Work with LLMs, image analysis, and object detection 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 More ❯

ensuring compliance with industry standards. Mentor junior engineers , conduct peercode reviews, and drive best practices. Collaborate with Product, Delivery, andTechnical Leads to refine requirements and execute solutions. Work with AWS cloud-native services (Lambda, Step Functions, DynamoDB) to develop efficient cloud-basedapplications. Ensure CI/CD best practices ,contributing to GitLab pipelines ,automation, and observability improvements. Integrate AI … and code reusability. Requirements Strong hands-on experience in full-stack development with React, Node.js, and TypeScript . Experience designing, developing, and optimising scalable and secure applications. Proficiency in AWS services (Lambda, Step Functions, DynamoDB). Familiarity with CI/CD pipelines and DevOps best practices. Understanding of secure coding and regulatory compliance. Experience mentoring junior engineers and More ❯

contract (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 … skills and experience: Strong Python 3.9+ skills with deep understanding of OOP, 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 More ❯

complies with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads, presigned URLs, and event notifications - CloudWatch logging and metrics More ❯

complies with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads, presigned URLs, and event notifications - CloudWatch logging and metrics More ❯

complies with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads, presigned URLs, and event notifications - CloudWatch logging and metrics More ❯

organisation to gather requirements, provide support, troubleshoot Supporting the systems provided by our team and responding to incoming requests from colleagues Your skills and experience ESSENTIAL CRITERIA: Working with AWS, including CodeBuild, CodePipeline, EC2, Lambda, Docker Supporting production systems Quality coding practices such as testing, security concerns, meaningful PR feedback, and appropriate documentation Working in an Agile environment More ❯