Top Machine Learning Jobs in Warsaw

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

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.

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

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.

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

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

The Head of Digital Operations & Reliability ensures the stability and performance of Roche's digital systems, implementing proactive operational strategies and fostering a reliability-first culture across the organization.

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

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

The Financial Analyst & Controller manages financial operations for Hitachi's Global Marketing & Sales, ensuring financial accuracy, compliance, process improvement, and strategic oversight.

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

The Financial Analyst & Controller manages financials for projects, ensures compliance, drives process improvement through technology, and provides strategic insights to the Global Marketing & Sales team at Hitachi.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

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.

As a Data Science Team Lead, manage a team of 7 data scientists, drive technical excellence, mentor staff, and enhance ML project delivery while ensuring alignment with organizational goals.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The Infosec Automation Engineer responds to security alerts, optimizes workflows, implements automation, and escalates incidents while addressing security risks.

Lead a team of AI engineers to drive innovations in healthcare technology, focusing on NLP and ML methodologies, while contributing hands-on to development.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The Lead .NET Engineer will develop scalable software solutions, lead an Agile team, and work with AI technologies to enhance the search functionalities of justice systems, while ensuring best engineering practices.

The Senior Product Manager will lead pricing capabilities evolution at LS&Co, integrating decision-making tools with machine learning for data-informed choices. Responsibilities include product vision creation, backlog management, user research, and stakeholder communication.

The Machine Learning Manager will lead ML initiatives, enhance robot functionalities, and oversee team dynamics in a fast-paced startup environment.

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

The Senior Project Manager will lead complex software delivery projects, engage with clients, oversee distributed teams, and manage project financials and risks.