Top Machine Learning Jobs in Poland

The Lead ML Engineer will design, build, and maintain systems for ML model deployment, ensuring scalability and performance, while collaborating with data scientists.

Lead AI-driven consulting engagements, develop AI strategies, manage multidisciplinary teams, mentor junior colleagues, publish thought leadership, and build external network.

The Senior Product Manager will develop strategies for new AI agent categories to enhance productivity workflows and collaborate across teams to optimize product offerings.

Develops and programs integrated software algorithms to analyze data, improve product performance, and apply machine learning in various environments using programming languages and technologies.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Manager will drive the sales strategy for the Test & Learn platform targeting financial institutions and merchants, focusing on developing new client relationships and leveraging data-driven insights to enhance business performance.

Build and maintain ML model deployment platforms, ensuring reliability and scalability. Collaborate with AI engineers to optimize performance and handle alert issues.

The Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

The Senior Data Scientist will generate actionable insights from commercial processes, leading AI technology integration and supporting pricing and contract management through data analysis.

Lead the execution of digital solutions for condition monitoring in marine systems, ensuring project scope and seamless delivery. Responsibilities include technical interface with customers, project management, and application of data analysis for performance optimization.

Lead and implement a multi-year SCM continuous improvement strategy, utilizing Lean principles and advanced analytics to optimize processes, mentor teams, and deliver business results.

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

This role involves developing pricing strategies, forecasting models, analyzing profitability, and enhancing pricing processes using data analytics across the organization.

The Operational Risk Review Analyst executes testing activities to evaluate processes and controls in areas like Technology and Cyber Security, collaborating with various teams to support risk management efforts.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

Promote Lean culture by improving processes and manufacturing excellence, training teams, and driving continuous improvement initiatives while collaborating across departments.

As a Staff ML Research Engineer, you'll develop and deploy machine learning systems for robotic handling, improve robot dexterity, and automate model retraining processes in a dynamic environment.

The Sr. Analytics Manager will guide the analytics team, support strategic projects, and deliver insights through data storytelling and advanced analytics.

The Senior Product Manager will lead product strategy in AdTech, collaborating with clients and teams to develop scalable advertising solutions.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

The role involves conducting R&D in process mining, proposing projects, collaborating with teams, implementing solutions, and disseminating results in publications.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.