2 of 2 Contract AWS CloudFormation Jobs in Glasgow

AWS Cloud Engineer Location: Glasgow Duration: Until 31/12/2026 Working Pattern: 2-3 days on-site per week Day Rate: £382.50 (Inside IR35) Role Overview We are seeking an experienced AWS Cloud Engineer with a strong background in cloud-based machine learning solutions to join our Glasgow team. The successful candidate will work … on the design, development, and deployment of large-scale ML models within an AWS environment, supporting advanced analytics and data-driven decision-making. This role requires proven expertise in AWS machine learning technologies, distributed computing, and CI/CD pipelines, along with demonstrable experience in the financial services sector. Key Requirements Core Skills and Experience Strong … proficiency in AWS-based Machine Learning technologies including SageMaker, Lambda, S3, and EC2. Hands-on experience in CI/CD pipelines and Docker containerisation for ML model development and deployment. Expertise in data preprocessing and feature engineering to prepare datasets for large-scale modelling. Proficiency in Python programming with experience of ML frameworks such as TensorFlow, PyTorch, and 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 More ❯