Top Machine Learning Jobs in Munich

The VP of Value Engineering for DACH leads Value Engineers to enhance customer success through AI-driven process improvements, while driving ARR and product adoption.

As a Sales Account Executive at Qualtrics, you will drive commercial growth by selling market research solutions, cultivating relationships, and developing account strategies for new business in diverse industries across the EMEA region.

This role involves driving AI and Data sales strategies, engaging with senior executives, and achieving sales quotas by delivering tailored solutions that transform customer operations.

The role focuses on strategic sales development, building partnerships with MSP/MSSP organizations to promote SailPoint's Identity Security solutions and driving revenue growth through collaboration and relationship management.

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.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Lead and mentor a sales team focused on AI-driven solutions, driving complex sales cycles, and collaborating across departments to maximize pipeline generation in EMEA.

Join Cellbyte as an AI Engineer to build AI and data systems, solve complex problems, and turn pharma workflows into AI-native systems.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

As the Senior Expert/VP for Reinforcement Learning, lead the development of AI testing frameworks and validate RL systems in complex environments.

In this role, you'll engage with senior stakeholders to understand their business challenges, design AI-powered solutions, and guide customers through implementation and adoption, ensuring effective use of new workflows.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

The role involves developing automation solutions within ERP systems, predictive monitoring, support ticket analysis, and collaborating with business units to unlock automation potential.

Lead the RegTech Engineering team to design and deliver secure, scalable IAM and regulatory automation systems. Define roadmap, mentor engineers, integrate GRC/CMDB tooling, ensure audit and compliance readiness (DORA, SOC2, ISO 27001), and advance automation and AI-driven solutions.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.

This is a full-time paid internship for final year bachelor's and master's STEM students to work on technologically challenging projects in fusion energy alongside experienced professionals.

The role involves developing machine learning solutions for medical data analysis, especially processing surgical videos, and participating in the entire ML development lifecycle.

The Senior Manager will lead actuarial transformation projects, specializing in financial modeling and risk management for insurance companies, requiring expertise in data science and regulatory compliance.

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.

As a Machine Learning Engineer, you'll integrate intelligent systems into healthcare, build and deploy ML models on clinical datasets, and work with federated learning frameworks.

The Senior Robotics Perception Engineer will design algorithms for object detection and terrain classification, implement machine learning techniques, and collaborate across teams to enhance the autonomy of ground vehicles in various environments.

The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.

Lead and scale machine learning engineering teams, develop standards, drive technical strategy, and enhance collaboration across functional teams.

The role involves managing customer relationships, driving adoption of AI solutions, running technical projects, and collaborating with cross-functional teams to enhance customer success.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.