Top Machine Learning Jobs in Germany

Design and implement deep learning pipelines, maintain Azure infrastructure, build CI/CD pipelines, and refine prototypes in a collaborative environment.

As a Generative Machine Learning Engineer, you will design and implement deep learning pipelines on Azure, maintain infrastructure, and automate deployment while staying current with AI trends.

As a Machine Learning Scientist at Nucs AI, you will develop innovative ML methods for medical image analysis, collaborate with clinicians, and contribute to clinical validation studies, impacting cancer diagnostics.

The Senior Machine Learning Engineer will architect and deploy recommendation systems, leverage large-scale data, develop machine learning models, and collaborate with engineering teams to optimize solutions and improve key business metrics.

As an ML Engineer, you'll deploy models and create tailored AI solutions for clients, ensuring impactful integrations and customer success.

As a Senior Machine Learning Engineer at Veeva Systems, you will build scalable AI tools, develop ML infrastructure, mentor data scientists, and collaborate across teams to enhance data products in the life sciences sector.

The Senior Data Engineer will design and build real-time data pipelines, develop ingestion pipelines, ensure data quality, and support data operations for logistics optimization.

The Senior ML Infrastructure Engineer will own and optimize GPU infrastructure for training tabular foundation models, ensuring high efficiency and collaboration with research teams.

As an ML Engineer, you will design sklearn-compatible APIs, manage PyTorch serialization, build preprocessing pipelines, and enhance developer experience in the tabular model ecosystem.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Senior Machine Learning Engineer, you'll develop and scale ML applications, design advanced features, and mentor junior engineers while collaborating on cross-functional teams.

As a Senior Machine Learning Engineer, you'll implement ML algorithms for game personalization, monitor player data, and convert prototypes into production code, enhancing player experience and company efficiency.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

Design, build, and deploy production-grade ML systems and data pipelines in Databricks. Perform EDA, statistical A/B testing, feature engineering, and predictive modeling. Define metrics with stakeholders, produce dashboards and visualizations, and collaborate with product and engineering to drive KPI improvements while applying software engineering best practices.

Lead the design and implementation of AI-native recommendation pipelines, translate research into production-ready code, and mentor junior team members in a high-concurrency environment.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

As an Intern Machine Learning, you will support the integration of AI solutions in healthcare, collaborating with teams to build and deploy machine learning models in production environments.

The Senior Machine Learning Engineer will lead architectural development for ML and AI platforms, mentor engineers, and optimize scalable ML infrastructure.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

The Applied ML Researcher will develop and implement generative models for material design, focusing on inorganic crystals while collaborating with a multidisciplinary team and integrating models into CuspAI's platform.