Top Machine Learning Jobs in Dublin

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing machine learning models and managing the full lifecycle of ML projects. Responsibilities include developing benchmarks, improving translation quality, and automating systems while leveraging advanced technologies and cloud infrastructure.

As a Staff Machine Learning Scientist, you will lead and mentor engineers, enhance technical standards, and identify impactful ML solutions, conducting research and algorithm testing to drive product innovation. You'll collaborate with cross-functional teams to build robust ML products, analyzing data and ensuring effective execution from prototype to production.

The Machine Learning Scientist at Intercom will identify ML opportunities, research algorithms, conduct data analysis, and collaborate with product teams to build and prototype ML features, ensuring they are effective and beneficial for customers.

The AI/ML Solution Architect will drive the design and implementation of AI solutions to address key business challenges. Responsibilities include architecting AI models, collaborating with data teams, and enhancing BI&T capabilities in supporting drug development processes. The role involves technology selection and the establishment of best practices in software engineering and deployment methodologies.

As a Senior Machine Learning Engineer at Workday, you will develop an ML platform that supports advanced ML models and applications. Responsibilities include designing data pipelines, enabling training of ML models, and collaborating across teams to deliver products that improve user experience. You will leverage large datasets and cutting-edge technologies to build scalable solutions that benefit a diverse range of enterprises.

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.

The Senior Machine Learning Scientist will identify opportunities for machine learning to enhance customer service, conduct data analysis, and collaborate with product and design teams. They will research algorithms, build prototypes, and measure the impact of deployed models, contributing to innovative ML products.

Lead the Data Platform Team in managing data ingestion pipelines and ensuring secure data handling in ML environments. Collaborate with product teams and drive technical roadmaps. Mentor engineers, uphold data security standards, and contribute to the complete ML software development lifecycle.

The Data Engineer will analyze source data, design and implement streaming data pipelines, develop and maintain batch processing pipelines, and collaborate with other professionals to manage feature life cycles and ensure data quality.

As a Refining and Petrochemical Process Optimization Engineer, you will apply machine learning and process engineering to optimize industrial processes. Responsibilities include collaborating with clients, evaluating machine learning models, developing product usage insights, and training clients on technology usage, all while traveling throughout Europe.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.

Lead the development and deployment of machine learning models, manage a team of data scientists, collaborate across departments, and ensure alignment with business objectives.

As a Staff ML Engineer at Quora, you'll develop and maintain cutting-edge NLP applications and scalable machine learning systems for the Poe platform. You'll lead projects related to LLMs, working on search retrieval and recommender systems, while also participating in research and optimizing existing models.

The Senior Software Engineer will architect and maintain distributed systems for machine learning, develop services using open source technologies, and collaborate with ML engineers to enhance their impact. Responsibilities include handling infrastructure, resolving production issues, and participating in on-call rotations.

The Machine Learning Engineer will work on optimizing Quora's content distribution system, managing the entire machine learning lifecycle including data pipelines, feature engineering, model training, and production integration. Responsibilities include building scalable ML systems, collaborating with cross-functional teams, and improving recommendation models to enhance user engagement and advertiser performance.

The AI/ML Specialist Solutions Architect designs AI solutions for clients, resolves technical challenges, and manages scalable AI deployments.

As a Computer Vision / Machine Learning Engineer, you will enhance Scan-to-CAD automation leveraging a unique dataset of scans and CAD models. Your responsibilities include researching state-of-the-art approaches, developing algorithms, training neural networks, automating internal tooling, and improving ML infrastructure.