Top Machine Learning Jobs in Dublin

Manage and mentor a team of ML scientists, driving collaboration with engineering and product leads to deliver impactful ML products while enhancing team productivity.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The Senior Machine Learning Engineer will enhance the RAG platform by delivering AI solutions, collaborating with teams on product features, mentoring, and maintaining system stability.

Lead and manage a team of engineers on the Computer Vision team, overseeing development, deployment, and strategic evolution of AI-powered safety systems.

Drive MLOps strategy, develop innovative software tools, manage integration of solutions, ensure governance of ML models, mentor team, and collaborate with stakeholders.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The role involves owning technical solutions, designing AI tools in cloud environments, mentoring team members, and collaborating across teams to deliver AI/ML projects.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

Develop and implement production-ready AI systems, utilizing LLMs for conversation analysis, performance scoring, and multilingual support while collaborating across teams to innovate AI solutions.

As a founding Machine Learning Engineer, you will design and implement AI systems, train models, and shape the technical direction of a new global consumer AI application.

You will develop AI model architectures, training pipelines, and deployment strategies, shaping a global consumer AI application from inception to execution.

The Staff Machine Learning Scientist will lead ML projects, mentor engineers, define new features, conduct research, and collaborate with product teams to deliver impactful ML products.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

Develop AI/ML solutions to enhance user personalization in Yahoo Mail, applying machine learning techniques and collaborating with teams for effective integration.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.