Top Machine Learning Jobs in Poland

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.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.

The role involves leading a team of engineers in developing and deploying ML/AI solutions, focusing on LLMs on AWS, while ensuring technical execution and team growth.

As a Senior Machine Learning Engineer, you'll develop recommender systems, build data pipelines, deploy models, run A/B tests, and collaborate with product teams for impactful AI solutions.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

Lead and architect Nearmap's ML platform, guiding the team in developing robust systems and implementing best practices for MLOps and AIOps.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Junior/Mid-Level ML Data Engineer, you'll develop data pipelines, support ML model deployment, and collaborate with teams on AI projects.

As a Pricing ML Specialist, you will create and maintain a pricing system, focusing on data and machine learning to enhance online travel booking experiences.

As a Middle Infrastructure Engineer, you will deploy, scale, and maintain services for the ML/AI team, collaborating on infrastructure architecture decisions.

As a Machine Learning Engineer, you'll deploy ML models, develop APIs, and work with Data Scientists to enhance operational efficiency and integrate AI into production systems.