Top Machine Learning Jobs in Poland

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

Design, build, and operate large-scale geospatial data pipelines and production ML/agent systems. Own data ingestion, distributed processing, model training, deployment, monitoring, and observability. Develop backend services and tooling, integrate agent frameworks, collaborate with product and customer teams to drive revenue and reliability.

The Machine Learning Engineer II will develop and optimize ML models, process large datasets, and integrate ML solutions while collaborating with peers and staying up to date on technologies.

Develop and maintain ML models, improve data flow, troubleshoot issues, and document outcomes. Collaborate in an agile international team.

As a Senior Machine Learning Engineer, you will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

Responsible for full-cycle recruiting for senior AI roles with a focus on sourcing talent in LATAM and Europe, managing pipelines, and closing candidates.

As a Senior Machine Learning Engineer, you will drive document parsing, improve algorithms, and mentor team members in computer vision tasks.

Design, implement, and deploy ML and AI solutions; architect AI systems; build and oversee data pipelines; collaborate with engineering teams; translate business needs to data problems; present results to stakeholders; follow Agile practices.

Lead the design and development of low-latency machine learning inference services, ensuring high availability and scalability, while collaborating with data scientists and cross-functional teams.

Develop and scale neural networks for source code tasks, create and improve methods for code generation, editing, and agent-based workflows, mentor colleagues, and produce publishable ML research results.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

Lead large-scale ML projects overseeing their entire lifecycle. Influence technical decisions, design ML pipelines, and mentor other engineers.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.

This role requires designing, developing, and maintaining scalable AI systems, integrating AI orchestration frameworks, and collaborating with cross-functional teams.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

As a Summer Trainee, you will gain hands-on experience in machine learning, engage in software development for AI solutions, and work with experts at Nokia.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

The Senior ML Engineer will build and optimize MLOps pipelines, deploy and monitor ML models, and collaborate with Data Scientists and Engineering teams to enhance ML workflows.

Join a team as a Python Developer focused on machine learning and cloud integrations. Responsibilities include developing cloud solutions, optimizing pipelines, and building CI/CD workflows.

Join Snowflake's AI R&D team as a Software Engineering Intern, contributing to AI-powered products and collaborating on innovative projects. Gain experience in ML frameworks, distributed systems, and software development best practices.

As an Azure Data Engineer, you'll design and implement cloud-native data platforms on Azure, focusing on secure data ingestion, transformation, and storage. You will leverage technologies like Terraform, Docker, and Azure DevOps to build infrastructures and ensure data quality.

As a Senior Machine Learning Engineer, you'll develop and deploy AI solutions, optimizing systems for consumer satisfaction and driving data transformation across Levi's operations.