Top Machine Learning Jobs in Poland

Design, build, and maintain machine learning systems to optimize restaurant operations. Collaborate with teams to ensure practical ML applications drive business results.

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 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.

The Senior Machine Learning Researcher will develop predictive models in biology, create ML-based biological representations, and optimize models for drug response simulations.

Lead a team of engineers in developing ML solutions, focusing on LLMs and AWS cloud services, while managing projects and fostering team growth.

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.

As a Machine Learning Engineer, you will develop, maintain, and optimize ML models, improve data flows, troubleshoot issues, and document processes while working in an agile team environment.

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

Lead and mentor a team of engineers in developing and deploying machine learning solutions, focusing on LLMs and AWS services while ensuring project alignment with business goals.

The ML Engineer will develop and improve ML models, collaborate with teams, manage production models, and maintain experimentation pipelines.

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.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Lead and manage machine learning projects and teams, enhance robot capabilities, deploy ML systems, and integrate algorithms successfully.

The role involves developing machine learning systems for robotic applications, enhancing robot dexterity, and collaborating on innovative solutions. It requires strong problem-solving skills and experience with deep learning and computer vision.

The AI/ML Engineer designs, develops, and deploys machine learning models. Responsibilities include model optimization, data preparation, deployment using MLOps, and collaborating across teams to implement AI solutions.

Integrate and implement standard machine learning models into production systems, optimizing for efficiency and monitoring performance, while ensuring seamless data flow and documentation.

The Staff Software Engineer will guide technical aspects of ML data pipelines, backend development, and multimedia ML solutions, collaborating cross-functionally to improve rider experiences.

As a Senior Software Engineer on the Car Experience team, you will guide backend development and machine learning data pipelines focused on enhancing rider experience in autonomous vehicles.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The ML Research Engineer will develop and deploy computer vision algorithms, mentor junior engineers, and collaborate across teams to enhance item authentication solutions.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

The Staff ML Scientist will innovate with AI on payments data, develop algorithms, automate predictive pipelines, and collaborate on machine learning solutions.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.