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.
Desirable Skills
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). TPBN1_UKTJ