Top Machine Learning Jobs in Dublin

The internship focuses on exploring Video Language Models to enhance brand safety and suitability classification within the GARM framework. Responsibilities include understanding GARM, investigating VLM architectures, benchmarking performance, and addressing challenges related to VLM deployment.

Interns at Analog Devices will work on meaningful projects in areas such as IC Design and Software Development, gaining hands-on experience while learning from experienced mentors. The program focuses on professional growth with opportunities for future full-time positions.

As a Senior Backend Engineer - ML at Intercom, you will research and implement machine learning algorithms into production, solve scalability and optimization challenges, improve development tooling, manage ML infrastructure, and collaborate with team members to enhance algorithm performance and build superior ML products.

The Head of AI will lead the AI strategy for Kainos, focusing on product innovation and integration of AI solutions across its product suite. This involves collaborating with various teams, mentoring staff, and ensuring technical excellence in the development of AI-driven features while maintaining ethical standards. The role requires a strategic thinker with strong leadership skills and a robust background in machine learning and AI technologies.

As a graduate software engineer at ADI, you will work on developing innovative software solutions that combine hardware and software technologies. Responsibilities include planning, designing, troubleshooting, and testing software for applications in IoT, autonomous vehicles, and healthcare systems, while also contributing to machine learning and AI projects.

As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.

The Cloud Solution Specialist will guide clients in implementing scalable AI cloud platforms, ensuring optimal use of technologies while overseeing the customer lifecycle from evaluation to adoption. Responsibilities include leading technical discussions, providing architectural guidance, and driving innovation within the platform. Collaboration with cross-functional teams and partners is essential to enhance AI solutions.

The Software Engineer will design, implement, and maintain frameworks for scalable ML Runtime applications. Responsibilities include developing automation tools, collaborating with data scientists, managing public clouds, deploying containers, and leading efforts to enhance engineer productivity.