7 of 7 Permanent MLOps Jobs in County Antrim

maintainable code for production grade AI solutions. \n Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such ...

maintainable code for production grade AI solutions. \n Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such ...

production-grade AI solutions. \n Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

production-grade AI solutions. \n Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

maintainable code for production grade AI solutions.\ NHands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.\ NExperience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

maintainable code for production-grade AI solutions.\ NProven experience indeploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.\ NComprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

Demonstrated ability to work across complex, multi-source data environments Desirable Experience in a security, threat intelligence or data-intensive product domain Familiarity with MLOps practices and model lifecycle management Exposure to autonomous agents, agentic workflows or tool-use patterns with LLMs Experience with cloud-native infrastructure ...