Top Machine Learning Jobs in Munich

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 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.

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.

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.

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.

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.

Lead technical delivery with OpenAI partners across EMEA to design, deploy, and scale production-grade AI solutions. Provide hands-on prototyping, integration, architectural guidance, and governance while collaborating with partner teams and internal stakeholders to ensure reliability, security, and repeatable deployment patterns.

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.

The Product Manager for AI Platform will define and operationalize AI capabilities, working with technical teams to enhance client experience and ensure regulatory compliance while managing product development.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

As a Software Architect, you will lead the technical vision of our HR platform, drive AI initiatives, ensure security, and mentor engineers.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

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

As Lead Systems Engineer, oversee integration of EO/IR sensing systems, manage technical suppliers, define requirements and ensure operational readiness.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.