Top Machine Learning Jobs in Dublin

The SVP of Product oversees Cubic's product portfolio strategy, focusing on market-led innovation in IoT and AI-driven services, while ensuring the alignment of product roadmap with corporate goals.

Lead the strategy for marketing data integration and application in a financial institution, driving superior business outcomes and serving as a strategic partner to marketing leaders. Oversee teams and work collaboratively across functions to innovate and enhance data strategies.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Design AI behaviors, workflows, and user experiences, ensuring systems function reliably and integrate into user workflows. Collaborate with teams to define AI capabilities and evaluate system performance.

Manage the integration of global flight supply partners, optimize product specifications, monitor metrics like price competitiveness and API latency, and collaborate with engineering teams to improve partner onboarding.

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

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

The Executive Director leads HEOR Consulting projects, manages teams, ensures client satisfaction, and drives AI integration within healthcare solutions while overseeing business development and strategic planning.

Develop and implement machine learning models to improve user targeting and personalization, analyze data, collaborate with teams, and conduct A/B tests to optimize growth initiatives.

As a Principal Machine Learning Engineer, you'll design and implement AI solutions, develop data pipelines, APIs, and mentor teams. Strong AWS skills are essential for building scalable systems and deploying machine learning models.

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.

Design, develop, deploy, and monitor medium-scale ML models and AI applications. Build MLOps pipelines, feature engineering, training pipelines, production integrations and APIs. Ensure model governance, bias detection, monitoring, and scalability while collaborating with data scientists and cloud teams and mentoring engineers.

The Staff Machine Learning Engineer will oversee the ML aspects of Zendesk's routing products, ensuring quality and interoperability, while collaborating with various teams, leading innovation, and advancing ML literacy across the organization.

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

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.

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.

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

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.

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.

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