Top Machine Learning Jobs in Poland

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.

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.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The role involves designing, training, and deploying ML models for document intelligence, focusing on structured data extraction, optimization, and enhancing AI systems for large scale document workflows.

The Senior ML Infrastructure / DevOps Engineer will design, operate, and scale infrastructure for machine learning workloads, automating provisioning and building robust ML pipelines while collaborating with ML teams for production readiness.

Design, develop, test, and optimize complex machine learning and statistical models. Ensure model performance, scalability, and integration with cross-functional teams, provide technical guidance, and adopt modern ML practices and tooling.

Lead design and delivery of production ML solutions: translate business needs, build PoCs, architect scalable deployments, implement ML CI/CD and monitoring, fine-tune LLMs and multimodal models, collaborate on data pipelines, set engineering standards, and mentor teams.

As a Senior Data Engineer, you'll design scalable ML pipelines, collaborate with teams, ensure data quality, and mentor junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.