Top Machine Learning Jobs in Poland

As a System Analyst, you will engage in research and analysis for 5G technologies, focusing on Radio Resource Management and collaborate on new features and innovations. Responsibilities include simulations, advancing 5G standards, and supporting product deployment.

As a Summer Trainee, you will evaluate AI tools, support AI-assisted testing, create test plans, maintain test scripts, and collaborate with teams.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead a team to develop machine learning methods for controlling robots, focusing on production deployment and fostering a collaborative team culture.

As an AI/ML Development Summer Trainee at Nokia, you'll analyze tasks, create ML pipelines, design models, and support NLP applications.

The Senior Administrative Business Partner will manage high-level scheduling, project coordination, and logistics while optimizing operational workflows and maintaining stakeholder relationships.

The Solutions Architect (AI/ML) will lead technical discovery, design AI/ML architectures, translate business requirements, and support AI productization while collaborating with client teams.

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.

The Senior ML Platform Engineer will design and optimize components of the ML Platform, enhance the Feature Store, and manage AWS and Kubernetes infrastructure while supporting internal users and promoting software best practices.

The Director of Applied Machine Learning will lead a team focused on model development and productionization, collaborating with cross-functional teams to deliver impactful ML solutions in life sciences and healthcare.

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 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.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Investor Services Director oversees Investor Services and Transfer Agency processes, ensuring high-quality service to clients and compliance with regulations, while managing teams and improving operational procedures.

The Enterprise Architect will shape the architectural direction of EcoVadis, align business strategy with technology, and drive improvements in systems architecture for scalability and resilience.

Develop and maintain ML models, improve data flow, troubleshoot data issues, optimize systems, and document technical specifications in an agile environment.

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.

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

Lead the development of ML models for detecting subrogation opportunities, mentoring junior engineers, and collaborating with stakeholders for technical solutions.

The Senior Machine Learning Engineer designs, develops, and optimizes ML models and AI solutions, collaborating with teams to solve complex business challenges and drive measurable outcomes.

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.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.