Top Machine Learning Jobs in Poland

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

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

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

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.

As a Product Owner for Machine Learning, you'll deliver impactful analytics features for non-technical users, manage product backlogs, and collaborate with data teams.

The Senior Data Scientist I will develop AI solutions, analyze data, mentor juniors, and collaborate on complex projects involving ML and NLP.

Lead quality assurance efforts for multilingual datasets, ensuring accuracy and cultural relevance while managing QA processes and collaborating with diverse teams.

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

Develop and implement machine learning models for lead scoring, customer segmentation, and optimization, while collaborating across teams to drive data-driven strategies.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

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.

Lead the development and execution of detection models and analytics within cybersecurity. Drive innovation, oversee data integration, and manage a global team to enhance capabilities against cyber threats while ensuring compliance.

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

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

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

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.

The Director of AI Engineering will lead AI initiatives, build teams in Poland, represent Relativity's AI strategy, and mentor talent while promoting innovation and data-driven practices.

As a Senior Middle Office Associate, manage trade lifecycle, ensure accuracy in trade bookings, resolve discrepancies, and communicate with clients and vendors effectively.

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 Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.