Top Machine Learning Jobs in Warsaw

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

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

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

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.

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

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.

Lead the product strategy for aiR Assist, an AI-powered search solution, ensuring meaningful customer impact and product success. Collaborate with engineering, design, and applied science teams to drive innovation in legal technology.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The Senior Manager of Logistics Operations will oversee Moderna's European logistics hub, ensuring compliance, efficiency, and integration of advanced technologies while managing day-to-day logistics operations.

Join a dynamic Big Data team as a Spark Developer in banking, focusing on large-scale data processing and machine learning. Collaborate with analytics and data science experts.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

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

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

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

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.

As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain models in production, and document processes.

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

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.

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

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.

The Science Expert will perform end-to-end product analysis, build analytical models, translate data into insights, and enhance analytics practices.

The Senior Data Scientist will design and implement NLP-heavy machine learning systems, own models end-to-end, and communicate findings to stakeholders, focusing on real-world impact.