Top Machine Learning Jobs in Dublin

As an ML Ops Engineer, you will set up and support ML bot inference, build scalable clusters, establish CI/CD for ML solutions, and improve inference logic for machine learning tasks.

Develop and enhance Autodesk's AI/ML platform by leading system design, automation, and deployment processes. Collaborate cross-functionally to optimize workflows and implement scalable services, while leveraging big data and cloud technologies for efficiency and effectiveness.

As a Machine Learning Engineer II at SurveyMonkey, you will design and implement scalable ML pipelines, collaborate with application engineers to integrate and monitor ML model services, and contribute to the evolution of the machine learning platform using AI techniques.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

The Senior Machine Learning Applied Scientist will apply reinforcement learning techniques to solve real-world marketing challenges, improve algorithms, conduct research, and collaborate with engineering teams to enhance the platform and develop APIs. The role involves using advanced evaluation methods and monitoring tools, engaging with customer implementations, and contributing to product strategy.