Top Machine Learning Jobs in Prague

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 data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

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

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

The Machine Learning Data Annotator produces high-quality annotations for AI-driven products, ensuring data accuracy and collaborating with teams for continuous improvement.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

Perform remote, part-time data tasks to improve AI in Czech: collect, evaluate, and annotate multimodal content (audio, video, images, text); conduct pairwise comparisons, counting, object tagging, and quality checks. Flexible freelance work ideal for students or those seeking extra income.

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.

Intern will control robots via VR for data collection, label visual data, assist with basic debugging, and collaborate with a tech team.

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

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

As a Machine Learning Engineer, you'll design and implement NLP models, enhance transcription pipelines, and collaborate with engineers to integrate models into production, ensuring system stability and accuracy.

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

As an AI/ML Engineer, you'll design scalable AI solutions, collaborate with teams, and manage deployment in production environments.

As a Machine Learning Engineer, you'll build analytical tools in Python, improve data processing infrastructure, deploy models, and create dashboards. You'll collaborate closely with teams and gain feedback on your code delivery.

The Machine Learning Researcher will explore novel approaches for threat detection through data analysis, designing experiments, deploying models, and collaborating across teams in a dynamic research environment.

As a Senior Software Engineer in AI, you'll build and maintain ML features, collaborate with data scientists, and ensure quality and performance in a production environment within a SaaS setup.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The Machine Learning Engineer will analyze large-scale marketing data, build and improve machine learning models, and collaborate with teams to enhance business decision-making.

As an ML Research Intern, you will lead your own project in SOTA deep learning and LLMs, collaborate with researchers, and work with Python and PyTorch on real-world datasets.

Develop and enhance ML models for search and recommendation; work with data engineers on ML components for production; research ML techniques.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

The role involves building ML analytics pipelines, leading LLM evaluations, collaborating on data engineering, creating dashboards, and defining operational guidelines.