Top Machine Learning Jobs in Warsaw

The Quality Engineer will drive the adoption of AI-powered testing tools, establish self-service quality standards, and improve end-to-end test coverage while coaching teams to own their quality processes.

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.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

The Senior Generative AI Engineer will design and develop the Orion GenAI Platform, standardize technology stacks, and enhance innovation speed while collaborating across teams.

Lead the design, development, and industrialization of AI solutions, ensuring alignment with business needs, security, and compliance while guiding multidisciplinary teams and engaging with stakeholders.

The AI Lead Developer designs and deploys AI solutions for business needs, collaborating with teams to ensure scalable, reliable applications throughout their lifecycle.

The Principal Threat Intelligence Researcher will lead the Threat Intelligence team, guide research on online threats, collaborate with marketing, and mentor junior researchers.

As a Senior Data Scientist, you'll design and implement data models, conduct analyses of large data sets, collaborate with teams, and lead on data science best practices.

The Data/Information Architect designs and maintains the information landscape, streamlining data flows and establishing governance standards, while collaborating with stakeholders to optimize data processes.

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.

As an AI Research Engineer at Tether, you will innovate in AI model architecture development, conduct large-scale model training, and enhance AI performance through advanced techniques and algorithms.

As a Senior Machine Learning Engineer at Tripledot Studios, you will implement ML algorithms, design experiments, analyze data to enhance player experience, and collaborate with cross-functional teams on game developments.

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

The Logistics Analyst will analyze transport and warehouse performance, support supply chain tools, lead improvements using Lean/Six Sigma, and optimize costs through data-driven insights.

As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.

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

The Senior Cybersecurity Engineer will innovate IAM processes through automation and AI, ensure compliance, and collaborate with teams to enhance security.

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

The Data Scientist will design and optimize ML and Generative AI models, perform data analysis, and collaborate with technical teams to develop AI solutions. Requires 4 years of experience and strong Python skills.

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.

The Customer Success Manager will bridge enterprise customers with internal teams, ensuring platform integration and driving account growth through strategic customer engagement and technical guidance.

The role involves designing MLOps platforms, implementing CI/CD pipelines, monitoring model performance, and collaborating with data scientists to productionize ML models. Mentorship to juniors is encouraged.

The Commercial Analytics Manager will lead investigations into KPI shifts, mentor Brand Analysts, and oversee brand health. The role bridges business and data science, ensuring optimal business growth and data-driven decision-making.