Top Machine Learning Jobs in Dublin

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

The Staff Machine Learning Scientist will define ML features, mentor engineers, research algorithms, and develop prototypes, focusing on customer value.

The Director of AI Engineering will lead AI innovation, develop strategies, mentor teams, and oversee R&D initiatives to enhance product offerings and operational efficacy at Scorebuddy.

The Senior Machine Learning Scientist will identify ML opportunities, develop algorithms, analyze data, and collaborate to enhance customer experiences with AI solutions.

The Senior Product Owner will lead the product roadmap for a data analytics solution, collaborating with various stakeholders to ensure strategic direction, market analysis, and customer engagement, while managing vendor relationships and delivery planning.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The role involves advising sales leadership on complex commercial deals, navigating regulatory compliance, and managing legal risks in AI technologies across EMEA.

The Senior Software Engineer (AI/ML) will develop AI solutions for financial crime prevention, focusing on LLMs and MLOps practices, collaborating with cross-functional teams.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

The Senior Robotics AI/ML Engineer at Analog Devices will develop AI-based robot policies, work on task planning and computer vision, and integrate AI into robotics systems, while collaborating with multidisciplinary teams.

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 implement machine learning models, build scalable ML pipelines, and collaborate with cross-functional teams to enhance services using AI/ML solutions.

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

The role involves owning complex data science problems, partnering with leadership, and applying advanced analytics and machine learning to influence strategy and deliver insights that drive business impact.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Build and operate backend services and platform capabilities for storing, searching, and retrieving contextual insights. Manage and compress large context, create reusable APIs and tooling for teams, implement ML production workflows, and maintain evaluation and observability to ensure quality, performance, and reliability.

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 Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

The Machine Learning Engineer will develop ML models for pricing strategies, refine forecasting algorithms, and create optimized workflows in collaboration with engineering and product teams.

The Senior/Staff Machine Learning Engineer designs and deploys machine learning models and systems, collaborates across teams, and leads technical initiatives to enhance PlayStation experiences and pricing strategies.