Senior ML Engineer - Production AI & MLOps Leader

Mckesson Corporation; Cork; Hybrid; EUR 72,000 - 120,000; Full time

Job summary

McKesson seeks a Sr. Specialist, Machine Learning Engineering to design, build, and scale production-grade AI, ML, and generative AI solutions that deliver meaningful business impact.

You will lead scalable ML platforms, production pipelines, and model deployment frameworks while partnering with cross-functional teams. You will provide technical leadership across the full AI lifecycle—from experimentation and model development through deployment, observability, governance, and continuous

Qualifications

• 7+ years of experience designing, building, and supporting machine learning solutions in enterprise environments.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent experience.
• Strong software engineering experience with Python and modern application development practices.
• Experience deploying machine learning models into production cloud environments.
• Hands-on experience with MLOps including CI/CD pipelines, model lifecycle management, automation, and monitoring.
• Experience with Azure Machine Learning, Azure Databricks, or comparable cloud-based ML platforms.
• Experience with containerization technologies such as Docker and production deployment patterns.

Responsibilities

• Lead the design, development, deployment, and operation of enterprise-scale AI/ML and LLM solutions.
• Build and productionize machine learning pipelines using Azure Machine Learning, Azure Databricks, and cloud-native services.
• Establish and enhance MLOps and LLMOps practices including CI/CD, model versioning, automated testing, monitoring, and governance.
• Develop scalable deployment architectures using containerization, infrastructure as code, and automation frameworks.
• Partner with data scientists and product teams to transition prototypes into reliable production systems.
• Implement model observability, performance monitoring, drift detection, and reliability engineering practices.
• Lead technical troubleshooting, root cause analysis, and continuous improvement efforts for AI-enabled platforms.
• Mentor engineers and promote engineering excellence through documentation, knowledge sharing, and best practices.

Skills

Python

CI/CD

MLOps

Azure ML

Databricks

LLMs

Kubernetes

Docker

Terraform

AI governance

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

Azure ML

Azure Databricks

Docker

Kubernetes

Terraform

Job description

McKesson seeks a Sr. Specialist, Machine Learning Engineering to design, build, and scale production-grade AI, ML, and generative AI solutions that deliver meaningful business impact.

You will lead scalable ML platforms, production pipelines, and model deployment frameworks while partnering with cross-functional teams. You will provide technical leadership across the full AI lifecycle—from experimentation and model development through deployment, observability, governance, and continuous