Top Machine Learning Jobs in Poland

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.

Lead the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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

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 ship elegant, user-centered product experiences for Sprout's Influencer Marketing product. Collaborate with cross-functional teams, create wireframes, visual designs, prototypes, and contribute to the design system while validating ideas through research and testing.

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.

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

As a Supply Chain AI Engineer, you will design and deploy AI/ML models to optimize supply chain operations, improve data quality, and leverage Generative AI techniques, while collaborating with cross-functional teams.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Staff ML Scientist will lead AI research on financial payments data, develop machine learning algorithms, and collaborate with teams to deliver innovative solutions.

As a Data Scientist at InPost, you will develop ML solutions to improve logistics operations, collaborate with teams, and present insights to management.

Partner with Market Units to analyze product, customer, and market data to identify margin opportunities. Build dashboards, run workshops, track PRGM initiatives, and design AI-driven pricing agents. Train users, support PriceFX analytics adoption, and collaborate with IT/data science to implement and refine pricing models and AI solutions.

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

As a Senior Product Manager, you'll lead product strategy, collaborate with sales and clients, create product roadmaps, and manage feasibility assessments in the AdTech sector.

Lead design and implementation of AI and computer vision algorithms for robotics using ROS. Consult on system architectures, perform research, translate imaging algorithms to robotics platforms, and develop tools for production AI/ML and ROS deployments.

Lead the transformation of the General Accounting function through AI and automation, enhancing decision-making, operational efficiency, and compliance while fostering a culture of innovation.

The Senior Product Manager - Capture leads AI-based invoice capture and validation, driving strategy and collaboration across teams to optimize document processing for accounts payable automation.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Serve as a senior AI advisor delivering AI/GenAI projects: define architectures and best practices, lead technical teams, create DS/AI offerings, support sales and delivery, evangelize AI across clients and the company, research market trends, and ensure high customer satisfaction throughout the project lifecycle.

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