/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 More ❯
Glasgow Area, Scotland, United Kingdom Hybrid / WFH Options
Infoplus Technologies UK Ltd
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, compliance, and accessibility. Work with business analysts, data engineers … experience in software development and architecture. 5+ years of hands-on experience designing and implementing solutions on AWS. Strong proficiency in AWS services primarily Amazon SQS, Lambda, S3, CloudTrail, Aurora PostgreSQL, API Gateway, IAM, AWS Athena. Experience with microservices architecture, serverless computing, and containerization. Proficiency in programming languages, primarily Python and Node.js, will be a good addition. More ❯
