Top Machine Learning Jobs in Warsaw

Build and maintain ML model deployment platforms, ensuring reliability and scalability. Collaborate with AI engineers to optimize performance and handle alert issues.

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.

Lead a team of software and ML engineers to build systems that analyze telematics data, detect anomalies, and develop workflows for incident resolution.

The Manager of Software Engineering will lead a team developing security capabilities for Fleet Security, focusing on integrating AI and improving operational efficiencies, while managing product development from concept to delivery.

This role involves developing pricing strategies, forecasting models, analyzing profitability, and enhancing pricing processes using data analytics across the organization.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Senior Data Engineer will design and implement scalable data architectures, manage data flows, and collaborate with multidisciplinary teams to enhance data applications.

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The Senior Product Manager - Capture leads AI-based invoice capture and validation, driving strategy and collaboration across teams to optimize document processing for accounts payable automation.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Principal Threat Intelligence Researcher at NordVPN, you will lead the Threat Intelligence team, drive research excellence, and translate insights into protection improvements while mentoring junior researchers.

The Senior Manager of Logistics Operations will oversee Moderna's European logistics hub, ensuring compliance, efficiency, and integration of advanced technologies while managing day-to-day logistics operations.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

As a Senior Project Manager, you will lead complex software and AI project deliveries, manage cross-regional teams, and engage with clients to align technology solutions with business goals.

The Machine Learning Manager will lead ML initiatives, enhance robot functionalities, and oversee team dynamics in a fast-paced startup environment.

Join a dynamic Big Data team as a Spark Developer in banking, focusing on large-scale data processing and machine learning. Collaborate with analytics and data science experts.

The Science Expert will perform end-to-end product analysis, build analytical models, translate data into insights, and enhance analytics practices.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The Sr. Analytics Manager will guide the analytics team, support strategic projects, and deliver insights through data storytelling and advanced analytics.