Latest data mining Jobs

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom

Permanent

Senior Manager - Communications and Media

This role involves leading and delivering AI-driven projects for clients in the communications and media sector, managing end-to-end project portfolios, and serving as the primary client liaison. The Senior Manager will mentor cross-functional teams, develop strategic proposals, and identify growth opportunities while ensuring technical and commercial success. The position combines consulting, project leadership, and business development in a high-impact AI environment.

Faculty London, United Kingdom

Hybrid Permanent

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, risk, and product teams to ensure ethical, compliant, and high-performing AI solutions in production.

Mastercard Lusk, 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 collaborate with engineering, product, and compliance teams to maintain high-performing, ethical AI systems in production. Lead incident response and continuous improvement initiatives for deployed models.

Mastercard Blackrock, 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 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