AWS Cloud Engineer

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 scikit-learn.
• Demonstrable experience of distributed computing for handling large ML workloads, particularly using Spark.
• Strong capability in statistical analysis and model evaluation, ensuring robust and reliable outputs.

• Experience with experiment tracking and model registry tools (MLflow, DVC).
• Knowledge of infrastructure as code using Terraform or CloudFormation.
• Familiarity with data visualisation tools and techniques to support model explainability and stakeholder reporting.
• Advanced understanding of machine learning algorithms and optimisation techniques.
• Previous experience in the banking sector (mandatory).