Top Machine Learning Jobs in Dublin

As a Senior Product Engineer, you'll improve and maintain AI-powered products, collaborate with ML teams, and contribute to all software development phases.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Lead a team of machine learning engineers and optimization specialists to develop decision systems for monetization strategies, ensuring scalable production solutions and strong cross-functional collaboration.

The Data Scientist will develop and deploy AI/LLM models for security solutions, collaborate across teams, and ensure robust deployments.

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

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

As a Senior Robotics Test Engineer, you'll validate sensor data, align simulations with real hardware, support ML data collection, and ensure safety in robotic operations.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The Trading Manager will establish and lead the Trading Services function, manage operations, build client relationships, and report strategic insights on trading data.

Lead development of AI/ML systems for real-time applications across various industries. Responsibilities include data analysis, system architecture, developing models, mentoring, and collaborating with engineers.

Design, develop, and implement machine learning models and algorithms, collaborate with teams to enhance AI/ML services, and ensure data quality.

Lead development of high-fidelity robotics simulations and validation workflows: design custom sensor models, run FEA mechanical simulations, generate synthetic datasets, integrate simulation outputs into ML training, and oversee field validation to close the sim-to-real gap.

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

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

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

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

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.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

The Head of Machine Learning will manage 9 ML engineers, coordinate projects, contribute to system architecture, and promote team growth. Responsibilities include strategic leadership, project management, and technical mentorship to align ML initiatives with business goals.

Design and implement large-scale optimisation models, build decision systems, mentor junior engineers, and integrate machine learning models while working closely with business stakeholders.