Latest mlops engineer Jobs

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI deployments.

Mastercard Swords, Fingal, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems in production. Collaborate across engineering, risk, and compliance teams to ensure ethical, secure, and compliant AI deployments.

Mastercard Maynooth, Kildare County, Ireland
NVIDIA logo

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical strategies, create educational resources, support proofs of concept, and guide field deployments in areas like computer vision, generative AI, and digital twins. Emphasis is placed on translating public-sector challenges into scalable, AI-driven outcomes while advocating for product improvements based on real-world feedback.

NVIDIA
Remote Permanent Clearance Required
NVIDIA logo

Solution Architect, Local Government AI

This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.

NVIDIA
Remote Permanent Clearance Required

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems in production. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI deployments.

Mastercard Dunboyne, Meath County, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Howth, Fingal, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Leixlip, Kildare County, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, resolve performance issues, and champion MLOps practices. Collaborate across technical and non-technical teams to ensure AI solutions meet compliance, governance, and operational standards while driving continuous improvement in production environments.

Mastercard Malahide, Fingal, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, implement MLOps practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure models meet performance, security, and ethical standards.

Mastercard Greystones, Wicklow County, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and integration into business processes. Establish monitoring frameworks to detect performance issues and data drift, and drive resolution. Champion MLOps best practices, automation, and compliance with governance and ethical AI standards while collaborating across technical and business teams.

Mastercard Bray, Wicklow County, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks, lead incident response, and drive MLOps best practices in collaboration with engineering, product, and compliance teams. Focus on performance, data drift detection, and regulatory adherence for production AI systems.

Mastercard Dundrum, Dún Laoghaire-Rathdown, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, risk, and product teams to ensure compliant, high-performing AI solutions in production.

Mastercard Tallaght, South Dublin, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business outcomes. Establish monitoring frameworks, implement MLOps practices, and lead incident response for AI systems in production. Collaborate across engineering, product, and compliance teams to ensure models meet performance, security, and ethical standards.

Mastercard Clondalkin, South Dublin, Ireland