4 of 4 Amazon SageMaker Jobs in the South West

driven products or solutions within commercial or public sector environments. Knowledge, Skills, and Experience (Desirable): Experience with cloud platforms (Azure ML, Azure Databricks, AWS SageMaker). Familiarity with Defence, public sector, healthcare, or similar industry verticals. Advanced qualifications (Masters or PhD) in AI, machine learning, computer science, or a More ❯

such as Power BI and OAS. Understanding of data replication tools such as Oracle GoldenGate and AWS DMS. Knowledge of AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage. Hands on and technical understanding of complex Data Warehousing terminology. Python scripting knowledge would be More ❯

business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages More ❯

align with business goals. Data Analysis: Proficiency in data mining, predictive modelling, and using tools like Power BI, Sigma Analytics for data visualisation and Sagemaker for Machine Learning. Strategic and Soft Skills Communication/stakeholder management skills: Strong ability to communicate technical concepts and advise to non-technical stakeholders … projects, including planning, execution, and monitoring Experience Hands-on expertise with data warehousing and management, including data processing, integration, and advanced analytics (e.g., Snowflake, Amazon Redshift, Databricks, Cloudera, Oracle). Experience managing a portfolio of technical programmes within an established Enterprise Data office/management function. Technical understanding of More ❯