Top Machine Learning Jobs in Poland

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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

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

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Lead data science projects from ideation to deployment, provide strategic advice on AI, mentor junior data scientists, and evaluate AI tools.

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

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Lead Machine Learning Engineer will design and deploy AI/ML security solutions, optimize models, manage projects independently, and collaborate across teams.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Senior Project Manager will manage robot deployment projects from specification to operations, coordinate resources, track performance, and meet with clients. Must have a customer satisfaction mindset and strong organizational skills.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Join Visa's Women in Technology Insight Day to explore tech careers, network with leaders, and gain insights into software development and data science. Perfect for students graduating in 2026 and 2027.

The GenAI Ops Engineer manages AI model operations, ensuring their deployment, optimization, and scalability, while collaborating across teams to innovate generative AI solutions.

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

The role involves designing and implementing generative AI models, conducting data analysis, and collaborating on advanced AI techniques to enhance business processes in specific industries.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

The Business Insights Data Analyst will manage data analysis projects, develop machine learning models, create dashboards, and communicate insights to various stakeholders.

The AI Machine Learning Engineer will design, develop, and deploy machine learning models, optimizing them for performance while collaborating with cross-functional teams and mentoring juniors.

The AI Machine Learning Engineer will design, develop, and deploy machine learning models, optimize AI systems, conduct data analysis, and collaborate with teams to deliver AI solutions.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

As a Product Owner for Machine Learning, you'll deliver impactful analytics features for non-technical users, manage product backlogs, and collaborate with data teams.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

The AI Engineer will design, develop, and deploy AI solutions, establish MLOps practices, collaborate with teams, and ensure responsible AI practices.