6 of 6 Permanent Amazon SageMaker Jobs in Scotland

native tooling. Architect and develop cutting-edge platform services for AI-driven trading. Tech Stack Programming: Python AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and Databricks On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. What we are looking for 5 – 10 years of experience in data engineering, ideally ...

infrastructure, and cloud-native tooling. Tech Stack • Programming: Python (Java familiarity is a plus). • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different • Direct Impact: Build AI tools that traders and quants use daily ...

infrastructure, and cloud-native tooling. Tech Stack Programming: Expert level Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants ...

developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders. The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Responsibilities Designing, building, and maintaining a Data Warehouse and related applications. Analysing, developing, delivering ...

translate business requirements into technical specifications and deliver impactful solutions. • Develop and maintain robust and scalable machine learning pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies. • Stay abreast of the latest advancements in computer vision and machine learning research and explore new opportunities … their practical applications. • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch). • Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc. • Experience with cloud-native development and deployment methodologies. • Ability to work independently and as part of a collaborative team. • A strong ...

managers) to translate business requirements into technical specifications and deliver impactful solutions. Develop and maintain robust and scalable data pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay abreast of the latest advancements in data pipeline research and explore new opportunities to apply these … Experience & Skills: Master's or Ph.D. in Computer Science, Computer Engineering, or a related field. Proficiency in Python Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc. Experience with cloud-native development and deployment methodologies. Ability to work independently and as part of a collaborative team. General ...