Top Machine Learning Jobs in Dublin

The Forward Deployed Engineering Build Manager leads cross-functional teams in delivering AI solutions, managing relationships, and ensuring strategic execution of builds.

As a Threat Analyst II, you will analyze adversary intrusions, create ML-based security detections, and address customer requests regarding detection efficacy, focusing on proactive and reactive detection engineering.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

Lead the Market & Customer Intelligence Program, transforming insights into actionable intelligence, and driving program adoption across Medtronic EurAsia while managing stakeholder engagement.

As a Senior AI Product Manager, you'll lead AI product strategy and collaboration with AI teams, ensure customer-focused product development, and drive impactful outcomes in customer service AI solutions.

Lead and nurture Forward Deployed Engineering team to deliver tailored technical solutions, ensuring successful customer engagements and mentoring engineers through complex challenges.

The Engineering Manager will lead a team of Machine Learning engineers and Operations Research experts to develop advanced decision systems that drive monetisation strategies, ensuring high performance and collaboration across stakeholders.

The Senior Specialist will enhance global trade compliance through risk management, customs governance, AI analytics, and cross-functional leadership, ensuring regulatory adherence and operational excellence.

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

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

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.

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.

The VP of Tech Enablement leads technical capability and presales support, ensuring scalability and quality in cloud migration projects, primarily within the airline sector.

The Principal Product Manager will lead AI-driven pricing and intelligence systems for travel sectors, managing model lifecycles and cross-functional projects to ensure financial accuracy and performance insights.

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.

As a Data Science Manager, you will lead a team to develop innovative fraud detection solutions using advanced data science techniques. You will manage fraud risk strategies and ensure alignment with business objectives while collaborating with cross-functional teams.

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.

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 role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

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

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.