Top Machine Learning Jobs in Germany

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.

Extract, curate, and ensure high-quality structured and unstructured oncology clinical data from EHRs. Develop and update curation instructions and capture forms, support QA processes, pilot new extraction approaches, contribute insights to product and ML/LLM-enabled curation, and collaborate with cross-functional teams to maintain and deliver high-quality datasets for research.

Sell Zscaler Zero Trust Branch solutions across DACH, owning regional quota, building account-based strategies, partnering with solution engineers, engaging C-suite and technical stakeholders to close complex deals for SD-WAN, data security, and advanced network products.

Perform technical investigations of base station antenna performance and their impact on network coverage, capacity and user experience. Develop and contribute to network/system-level simulation tools, drive antenna and system requirement studies, collaborate with R&D, product managers and cross-functional teams, and support product documentation and technical customer requirements.

Lead technical presales engagements for an AI-driven commerce platform: run discovery sessions, design composable solution blueprints, build demos and prototypes, author technical RFP/RFI responses, and collaborate with GTM, Product, and Engineering to close enterprise deals across the DACH region.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

Lead distributed European engineering teams to build a Field-to-Cloud ecosystem. Drive cloud architecture, AI-native engineering practices, platform delivery, roadmaps, governance, and process excellence while mentoring teams and coordinating with global stakeholders.

Lead threat intelligence research and presales enablement by creating labs, demos, CTFs, and technical workshops. Perform malware analysis, threat hunting, adversarial AI research, and develop FortiGuard-based mitigation content. Present to technical and executive audiences, support sales, mentor SEs, produce thought leadership, and travel to customer engagements and executive briefings.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Lead CRM lifecycle strategy and execution to maximize retention and monetization. Design algorithmic personalization, run rigorous incrementality experiments, partner with Data/Engineering on real-time event schema, and build/operate omnichannel campaigns (Email, Push, SMS, In-App) including API-triggered flows.

P&G IT internship offering hands-on project work across End-to-End Supply Chain, Industry 4.0, Commercial domains, or Data & Analytics. Interns work with cross-functional teams to apply technology and analytics, gain responsibility from day one, and may be considered for full-time roles after graduation.

This internship allows students to work on IT projects related to supply chain, data analytics, and digital transformation while gaining valuable industry experience.

Lead and grow a consulting practice delivering software engineering and AI/ML projects: manage client engagements end-to-end, identify high-value use cases, drive sales and marketing, recruit and mentor a professional services team, and shape company strategy and brand with a path to equity and executive leadership.

Work directly with founders to define and execute a SaaS strategy for getML: product roadmap, IP/open-source strategy, financial modeling, growth paths (organic or VC), partnerships, fundraising, and operational planning toward a leadership role.

Design, implement, and test automation and robotic systems for machine vision and industrial applications. Develop embedded product designs and manufacturing processes, collaborate with R&D team, analyze test data, and maintain inspection and maintenance plans.

The Pathology Scientist will oversee pathology for clinical trials, support R&D activities, lead project teams, and ensure compliance with regulations.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead the regional model framework for transaction monitoring, overseeing model development and implementation while collaborating with various teams to ensure compliance and efficiency in identifying suspicious activities.

Lead client engagements to assess data and ML maturity, identify use cases, define implementation roadmaps, advise on data/platform/cloud architecture, and support implementation with data scientists, engineers and IT. Drive consulting practice growth, business development, thought leadership, and contribute to MLOps, governance and analytics center initiatives.

Develop and optimize C++ software and inference pipelines for sensor-based sorting machines. Implement modules, integrate AI/deep-learning models, troubleshoot and validate software on industrial machines, collaborate with cross-functional teams, and produce technical documentation.

Lead Airbus Defence & Space's transformation to an AI-enabled organization by creating strategic AI roadmaps, advising leadership on AI use cases, defining regulatory governance, establishing scalable architectures and standards, and managing AI partner ecosystems.

Own end-to-end delivery of ADAS features (AEB, LKA, ESA, AES, BSM), align OEM requirements with internal roadmaps, specify features, collaborate with engineering and product teams, support testing/validation, mitigate risks, and maintain strategic feature roadmaps toward higher autonomy.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.