Top Machine Learning Jobs in Dublin

Join Nansen as a Senior AI/ML Engineer to develop and monitor AI models for analyzing blockchain data, influencing decision-making for crypto investors, and advancing the platform's capabilities.

Seeking an experienced Engineering Manager in AI/ML to lead a team of software developers, focusing on essential products in the language AI platform. Responsibilities include managing team development, talent acquisition, technical aspects of the product, and researching new AI/ML technologies. Requirements include mastery in Python, ML frameworks, AI system design, cloud platforms, and leadership experience.

Join Upwork's Hybrid Workforce Solutions Team as a Senior AI/ML Engineer specializing in Search & Recommendations. Utilize cutting-edge technologies to drive business growth through machine learning models. Collaborate with teams to enhance user experience and deliver personalized recommendations.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.