Swindon, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability, and Responsible AI principles. Experience building or integrating voice-enabled chatbots and multi-modal systems. More ❯
Swindon, Wiltshire, United Kingdom Hybrid / WFH Options
Zurich 56 Company Ltd
honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their More ❯
Swindon, England, United Kingdom Hybrid / WFH Options
Zurich Insurance
honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their More ❯
space. Responsibilities: Collaborate with cross-functional teams to understand business objectives, data requirements, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques … for predictive and pattern analysis. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's … skills. Experience with social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and quality within deadlines. Compensation: This More ❯
