Top Machine Learning Jobs in Germany

Develop and execute verification and validation tests for guidance and automation systems, including functional, integration, HIL, machine, and field testing. Automate test methods, improve simulation environments, analyze issues, document results, validate fixes, and evaluate customer feedback. The role requires expertise in mechatronic systems, software, ECUs, sensors, CAN communication, test automation, and simulation, plus collaboration with international teams and support for agricultural machinery field tests.

Master’s thesis students will investigate advanced AI applications for telecom networks, including LLM fine-tuning, network observability, data governance, data lakes, LLM verification, capacity planning, and AI agents. Responsibilities include addressing real engineering challenges, developing prototypes or architectures, benchmarking approaches against measurable baselines, and collaborating with international researchers. Candidates need Python, foundational machine learning or data analysis, analytical problem-solving, and interest in AI and telecom topics.

Supports Celonis Platform implementations for global customers through process-mining discovery, SQL/Python data transformation, AI and machine-learning solution development, stakeholder workshops, documentation, and quality control. The role helps translate technical findings into business value, improve operational efficiency, and drive customer adoption. It is part of a 12-month graduate program involving collaboration with consultants, product, engineering, analytics, architecture, and support teams.

The Security Engineer will support detection and response through incident response leadership, threat hunting, detection engineering, threat intelligence, and complex investigations. Responsibilities include building automated security tooling, AI-driven alert triage, security intelligence pipelines, detection-as-code, cloud security capabilities, and autonomous security solutions. The role also involves on-call incident command, attacker-focused research, security education, and cross-functional collaboration.

Supports Celonis Value Engineering for the DACH market by analyzing customer process data, identifying business challenges, translating them into AI and Process Intelligence use cases, quantifying financial impact, and preparing executive presentations. The intern contributes to proof-of-value projects, prototypes machine learning and LLM-based solutions, collaborates with customers and sales teams, and presents data-driven value propositions to decision-makers.

Develop agentic workflows and reliable automation for real-time audio machine learning research. Responsibilities include orchestrating data preparation, model training, hyperparameter searches, benchmarking, regression testing, experiment tracking, artifact management, GPU scheduling, and reporting. The role connects LLM agents with research tools and infrastructure, builds reproducible and observable systems, and partners with audio researchers. Strong Python, software engineering, ML pipeline, PyTorch, Linux GPU, CUDA, and audio ML/DSP experience are required.

Lead the architecture and implementation of scalable data platforms and AI/ML systems supporting Ericsson’s 5G networks. Own data pipelines, distributed processing, storage, model development, deployment, monitoring, MLOps, governance, and privacy frameworks. Drive technical strategy and design reviews while mentoring engineers and collaborating across teams. The role requires strong Python, C++, Java, Spark, Kafka, API, database, and production AI/ML expertise, with additional value from cloud, containerization, GenAI, and telecom experience.

Graduate AI/ML and Data Engineer working with mentors to build data pipelines, ETL processes, machine learning models, and MLOps capabilities for Ericsson’s 5G networks. Responsibilities include data preprocessing, feature engineering, database work, PySpark processing, data validation, model monitoring, and code reviews. The role provides hands-on experience across the AI and data engineering lifecycle.

Supports Research and Development teams as an IT business partner by gathering requirements, translating business needs into technology solutions, improving workflows and data quality, coordinating with stakeholders and vendors, supporting enterprise and lab-system integrations, and enabling AI use cases. Provides day-to-day application support, drives continuous improvement, and ensures scalable, compliant solutions in a regulated environment.

Own the vision, strategy, roadmap, and delivery for Microblink’s Platform and Know Your Agent products. Lead and develop product managers, partner with engineering, design, sales, marketing, and customer success, and manage product metrics. Serve as the VP of Product’s second in command by running planning, prioritization, roadmap reviews, cross-functional alignment, product operations, escalations, and leadership communications.

Designs and engineers enterprise AI systems involving LLMs, generative AI, agentic architectures, RAG, model adaptation, context layers, and observability. Builds and tests reusable software components, integrates enterprise data sources, and creates architecture deliverables. Ensures systems meet security, governance, performance, scalability, and Responsible AI requirements while collaborating with data, ML, and application engineering teams.

Designs and builds production AI solutions for procurement, including LLM assistants, agents, RAG, and machine learning models. Develops Python services and APIs, integrates AI with SAP and cloud platforms, and leads customer projects from requirements through delivery. Facilitates workshops, ensures security and regulatory compliance, evaluates technologies, establishes standards, and mentors colleagues. The role requires strong software development, cloud, AI/ML deployment, customer engagement, and ERP integration experience.

Develop data-driven insights, predictive models, optimization solutions, and simulation-based decision-support tools for semiconductor manufacturing. Analyze manufacturing and operational datasets, apply statistical and machine-learning techniques, design experiments, and improve planning, scheduling, resource utilization, and factory performance. Collaborate with customers, domain experts, and engineering teams, communicate findings to technical and non-technical audiences, and contribute to manufacturing intelligence research and innovation.

Designs and builds enterprise AI systems, including LLM applications, agentic architectures, RAG pipelines, context and memory layers, model integrations, and fine-tuning workflows. Develops production software components, evaluation harnesses, security controls, governance, observability, and reusable architecture patterns. Produces technical architecture artifacts and collaborates with data engineers, ML engineers, and application developers on client engagements. Requires Python, AI/ML architecture experience, cloud platform experience, practical machine learning and NLP skills, and B2-level German.

Manage and expand a portfolio of existing enterprise and mid-market customers across the DACH market. Drive upsell and cross-sell opportunities, build strategic relationships with CISOs and security leaders, execute account plans, collaborate with channel partners, and present AI-driven cybersecurity solutions. The role requires fluent German and English, strong B2B account growth experience, commercial motivation, and comfort working with technical products in a high-growth environment.

Build and lead GetYourGuide’s Marketplace Abuse Prevention function. Define operating models, KPIs, governance, and prioritization frameworks; investigate emerging abuse patterns; translate data insights into scalable mitigation strategies; and develop continuous monitoring and AI-powered detection workflows. The role requires cross-functional influence across Product, Technology, and Business teams, along with expertise in marketplace integrity, fraud, risk management, data analysis, and machine learning-based detection.

Lead end-to-end architecture, implementation, and delivery of Blue Yonder Warehouse Management and related execution solutions. Serve as the primary client contact, manage timelines, budgets, risks, and deliverables, and lead solution teams and integrations. Provide functional and technical guidance, mentor junior staff, align solutions with business objectives, and collaborate with project managers, delivery partners, and stakeholders to deliver successful client outcomes.

Leads SAP Ariba Source-to-Contract consulting engagements for enterprise clients, including process analysis, solution design, implementation, integrations, optimization, and stakeholder management. Develops AI-driven procurement innovations, mentors consultants, delivers training and change management, supports troubleshooting and continuous improvement, and contributes to pre-sales activities. Requires deep SAP Ariba expertise, procurement process knowledge, business process modeling, client leadership, and fluency in English and German.

Commercial Counsel supporting EU and US technology transactions for a generative AI company. Responsibilities include drafting and negotiating software licensing, API, platform, data, content, and partnership agreements; advising on German corporate law and cross-border deals; supporting compliance and legal operations; and developing scalable contract templates, playbooks, and approval workflows.

Manage multiple robot deployment projects from specification through operational handover. Coordinate multidisciplinary teams, track performance and budgets, report to clients and stakeholders, and manage project risks. The role requires customer communication, frequent travel to European warehouses, and collaboration across technical and operational teams in an intralogistics and robotics environment.

Manage multiple intralogistics and robotics deployment projects from specification through operational handover. Coordinate multidisciplinary teams, track performance and budgets, report to stakeholders and clients, and manage project risks. The role requires customer engagement, German and English fluency, technical understanding, and travel to European warehouses up to 50% of the time.

Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.

Lead SaaS sales growth across Germany, Austria, and Switzerland by identifying prospects, developing territory strategy, conducting discovery, negotiating complex contracts, and building executive-level client relationships. The role requires 6+ years of B2B sales or account management experience, strong German and English communication skills, experience selling complex technology solutions, and willingness to travel for business development and events.

Lead aerodynamic modeling strategy for high-agility fighter aircraft. Analyze aerodynamic characteristics, oversee wind tunnel and flight test campaigns, integrate simulation and test data, and define aerodynamic dataset architectures for stability, control, performance, and loads. Guide flight-test data analysis, develop machine learning and data-fusion capabilities, mentor engineers, and provide technical leadership for complex aerospace programs.

Develop and maintain vehicle development fleets by integrating software, hardware, sensors, and vehicle systems. Troubleshoot Ethernet and CAN issues, debug hardware and software, calibrate sensors, build workflow and data-handling tools, formulate hardware requirements, and support test-drive planning. The role transfers machine-learning and autonomous-driving solutions into real-world vehicles while collaborating with function owners and improving fleet readiness.