Top Machine Learning Jobs in Poland

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

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.

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

The Financial Analyst & Controller manages financial operations for Hitachi's Global Marketing & Sales, ensuring financial accuracy, compliance, process improvement, and strategic oversight.

The Financial Analyst & Controller manages financials for projects, ensures compliance, drives process improvement through technology, and provides strategic insights to the Global Marketing & Sales team at Hitachi.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Data Product Manager leads product development for merchant insights, defining strategy, managing backlogs, and ensuring product delivery in a fintech environment.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, including reviewing transactions, liaising with investors, and preparing reports.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

As a Back-End Software Engineer, you will develop AI solutions, optimize data processing pipelines, and mentor junior engineers, ensuring the system's scalability and performance.

The ML Game Systems Engineer will design and implement advanced ML systems for game development, collaborating with developers to enhance gameplay features and optimize performance.

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

Oversee and manage the development and deployment of AI solutions, focusing on LLMs and AWS Cloud services while leading a team of engineers.

Drive Visa's Responsible Data Use program by assessing AI and data initiatives, ensuring compliance, and shaping data governance policies. Collaborate cross-functionally, conduct detailed reviews, and communicate progress while leading training and promoting responsible data practices.

As a Senior MLOps Engineer, you will architect and implement MLOps pipelines and tools to enhance fraud detection and regulatory compliance.

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

Manage existing client relationships and seek new business opportunities in the automotive vertical for Central & Eastern Europe, focusing on account growth and customer success.

Lead and grow engineering teams, drive solutions development, oversee integrations with CRM partners, manage performance, and set ambitious goals.

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.

The Director of Data Services will lead the data lakehouse strategy, ensuring data quality and governance for product offerings, partnering across teams to enhance data accessibility and ML functionalities.