Top Machine Learning Jobs in Poland

You will conduct model training, improve architectures, design experiments, and oversee team activities. A strong background in machine learning research is required.

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.

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 the Core & MLOps team to build and maintain the foundational infrastructure for scalable data services, with responsibilities in technical leadership, MLOps excellence, and team management.

The role involves designing ETL pipelines, managing databases, developing LLM features, and collaborating with teams for data insights.

Develop and test machine learning tools for autonomous vehicles, work with synthetic datasets, automate ML pipelines, and develop perception algorithms for AV/ADAS systems.

The Machine Learning Engineer will develop ML pipelines, automate processes, and work with perception algorithms for autonomous driving. Responsibilities include data generation, testing ML tools, and exploring vehicle operating conditions.

Lead the design and development of algorithmic stages for cloud applications in geospatial big data. Collaborate with teams to integrate solutions and align product development with customer needs.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

The Staff ML Scientist will apply advanced AI and machine learning techniques to financial payments data, collaborating with teams to develop innovative products and solutions at Visa.

The Staff ML Scientist at Visa will develop AI products using machine learning techniques, collaborate with teams, and innovate using financial payment data.

The ML Engineer will build and refine ML models, manage experimentation environments, collaborate with teams, and ensure model performance in production.

As an ML Engineer, you will create and enhance ML models, collaborate with teams, maintain pipelines, and ensure optimal model performance.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

Develop and integrate machine learning solutions for fraud prevention in transactions, analyze data using SQL and Python, and manage the complete lifecycle of ML solutions.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

Lead a team in developing AI solutions using ML and LLMs, manage projects, optimize models, and ensure cloud best practices.

As a Senior ML DevOps Engineer, you'll architect systems for fraud detection, manage cloud infrastructure, and develop MLOps strategies via collaboration.

The Senior Machine Learning Engineer will design, build, and maintain MLOps systems, mentor other engineers, and optimize large-scale ML workflows.

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 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.