Top Machine Learning Jobs in Germany

As the Sales Manager for Healthcare, you will develop new business, engage with stakeholders, and drive customer satisfaction in the DACH region.

The Applied Research Scientist will develop advanced tools for enhancing written English using NLP, ML, and DL technologies, contributing to product development and research strategy.

This mandatory internship at Boeing involves research in future flight operations and technologies, working in an interdisciplinary team in an international environment.

Internship opportunity for students in aerospace-related fields at Boeing's Innovation Lab, focusing on future flight operations and innovative ideas.

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

Manage pricing based on KPIs and market analysis, collaborate on machine learning projects, and implement A/B tests for discount strategies.

Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

The role involves consulting with clients on technical needs, delivering customized demonstrations, and contributing to sales strategies while ensuring alignment with FICO's analytics solutions.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead end-to-end product for a programmatic ad stack: own Bidding SDK and Exchange, align technical roadmap with market needs, collaborate with Data Science on ML bid models, ensure OpenRTB/TCF compliance, manage P&L, and align cross-functional teams through OKRs to drive revenue growth.

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.

Develop and implement advanced generative AI models, collaborate with cross-functional teams, and innovate existing models for improved performance and speed.

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

Design and develop intelligent conversational systems using ML and NLP, create adaptive workflows, and mentor team members while driving innovation in recruiting technologies.

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.

Lead and scale a team selling OpenAI products to digital-native customers across EMEA. Drive customer acquisition, manage forecasts, execute complex deals, recruit and onboard sellers, collaborate cross-functionally, and influence product and go-to-market strategy.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

Lead the productization of NVIDIA's AlpaSim and AlpaDreams technologies by forming a team and converting research into scalable production-quality simulation platforms.

The Director of Business Development at Moloco will drive revenue growth, close partnerships, and support expansion across EMEA while focusing on AI-powered advertising solutions.

The Data Scientist will solve real-world problems using data science, design data pipelines, implement algorithms, and collaborate across departments, with a focus on producing high-quality, maintainable code.

The Enterprise Sales Manager will lead sales processes, build relationships, understand industry trends, and create growth strategies in Supercomputing and Higher Education sectors for NVIDIA.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.