9 of 9 MLOps Jobs in Northern Ireland

guiding teams in the effective use of these tools. Extensive expertise in designing, deploying, and maintaining production-grade AI/ML solutions, including pipelines, MLOps practices (e.g., CI/CD pipelines, model versioning, monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative ...

maintainable code for production grade AI solutions. 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. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

maintainable code for production-grade AI solutions. 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. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

code for production-grade AI solutions. 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. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ ...

Experience integrating APIs and microservices architectures Experience working within Agile environments Desirable Skills Experience with OpenAI, Azure OpenAI or similar platforms Understanding of MLOps or AI model lifecycle management Experience within financial services or regulated environments If you are an AI Engineer looking to work on cutting‐edge Generative ...

microservices architectures Experience working within Agile environments Desirable Skills for the Generative AI Engineer: Experience with OpenAI, Azure OpenAI or similar platforms Understanding of MLOps or AI model lifecycle management Experience within financial services or regulated environments If you are an AI Engineer looking to work on cutting-edge Generative ...

Science, Machine Learning, Operational Research, or Statistics. Academic, internship, or personal projects delivering data science outputs. Basic familiarity with CI/CD pipelines or MLOps concepts. Exposure to containerisation technologies (e.g., Docker). Some experience working with relational or NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Workday data structures ...

Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years … guidance. Some exposure to deploying or supporting AI/ML models - through academic projects, internships, or early career experience - with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such ...