Top Machine Learning Jobs in Hamburg

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.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

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

Support sales by conducting technical discovery, delivering customized demos and POCs, designing solutions with customers, responding to RFIs/RFPs, coordinating internal teams, answering security questionnaires, and acting as a trusted advisor on fraud/AML and financial crime prevention.

The Senior Software Engineer will develop AI-powered recruiting products using Python, manage microservices, build RESTful APIs, and collaborate with teams on scaling applications.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Lead Backend Engineer responsible for building scalable, low-latency APIs and data-driven systems for Search, Recommendations, and Ranking. Design and optimize search/recommendation algorithms (including NLP), manage large data volumes with BigQuery/MPP warehouses, collaborate with data scientists, and drive architecture and feature delivery using Node.js/TypeScript.

The role involves integrating AI tools into .NET and C++ applications, optimizing models for performance, and collaborating with engineers on deployment and monitoring.

The Global Campaign of Learning Specialist will enhance operational effectiveness for USAFRICOM by integrating best practices, advanced technologies, and training programs. Responsibilities include real-time observation capture and analysis to improve decision-making.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

The role involves enhancing operational effectiveness in military operations through exercise development, collaboration, and innovation methodologies, focusing on integrating advanced technologies.

The Sales Account Manager will develop business from new accounts, manage strategic partnerships, collaborate with leadership, and enhance BioCatch's brand in Germany while exceeding sales objectives.

Design, build, and maintain production-grade GenAI systems and Python-based APIs. Implement end-to-end RAG, vector DBs, multi-agent systems, and secure MCP infrastructure. Optimize LLM integrations (OpenAI, Anthropic), event-driven architectures, and real-time messaging. Collaborate cross-functionally, create and refine prompts, and ensure reliability, scalability, and security in production generative AI solutions.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

Lead go-to-market planning for JetBrains AI Ecosystem launches, create clear messaging and launch assets, coordinate stakeholders, scale campaigns, gather market and customer insights, and track campaign performance to improve processes.

Lead pre-sales engagements to design and present AI-driven customer experience solutions using Genesys Cloud. Conduct discovery workshops, build demos and business cases, translate technical concepts to business value, collaborate with account teams and partners, and support adoption of conversational AI, automation, and cloud integrations across DACH.

Serve as the single point of contact for mid-to-enterprise customers, guiding onboarding, deployment, configuration, and adoption of Sophos cybersecurity solutions. Drive customer success through proactive account health monitoring, QBRs, technical guidance, risk mitigation, cross-functional collaboration, and stakeholder enablement to maximize value realization and secure renewals.

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

Lead neuroscience R&D for EEG-based BCI: develop signal-processing and classification algorithms, design/execute human-subject experiments, integrate neural data with hardware/software, validate and ensure regulatory and ethical compliance, and mentor junior researchers.