Top Machine Learning Jobs in Berlin

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.

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.

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

The Senior Data Scientist will develop ranking, pricing, and bidding algorithms for an advertising platform, maximizing value for advertisers and users while integrating new features into existing systems.

Lead and grow a team of Product Managers to enhance customer experiences on a global scale by defining content strategies and evaluating tech solutions.

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.

Develop and integrate reinforcement learning agents into autonomous aerial systems, ensuring reliability and performance. Collaborate with teams and enhance the software stack while mentoring peers.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

As a Senior Solutions Consultant at Feedzai, you will drive sales for the RiskOps platform by understanding and addressing clients' technical needs, delivering product demonstrations, and managing formal tenders and proposals.

As a Data Labeler intern, you will label various data types, ensure data quality, collaborate with the team, and provide feedback to improve guidelines.

As a Product Manager for Quick Commerce, lead and define product vision, enhance user experience, drive business growth through collaboration, experimentation, and alignment across teams.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The Developer Relations role involves building community engagement, creating technical content, managing social media, and collaborating on product development at Prior Labs.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

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

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

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Senior AI Product Manager, you'll shape the vision and strategy for Intercom's AI systems, collaborating with ML scientists and engineers to deliver impactful AI products and improve customer experiences.

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.

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

Lead the RegTech Engineering team to design and deliver secure, scalable IAM and regulatory automation systems. Define roadmap, mentor engineers, integrate GRC/CMDB tooling, ensure audit and compliance readiness (DORA, SOC2, ISO 27001), and advance automation and AI-driven solutions.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.