Top Machine Learning Jobs in Poland

The Software Engineer will design and develop AI-based tools, collaborate with teams to gather requirements, integrate AI algorithms, maintain systems, and conduct quality assurance.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

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

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

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

The Middle Office Supervisor will confirm trade and cash details, ensure trade booking accuracy, communicate with clients, and implement tech solutions.

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

As a Solutions Architect at Pathway, you will design and deploy AI models for enterprise customers, bridge sales and technical teams, and contribute to scalable solutions.

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.

The Portfolio Accounting Supervisor executes reconciliations and supervises cash, position, and OTC reconciliation processes, while mentoring the team and ensuring compliance with guidelines.

The Fund Accountant will handle trade capture, reconciliations, pricing, and assist with NAV calculations under supervision, ensuring accuracy and timely reporting.

The Fund Accounting Associate will prepare reconciliations, process accruals, verify corporate actions, assist with audits, and maintain client relationships.

Manage Fund Accounting operations, ensuring accurate NAV calculations, supervising a team, and ensuring compliance with company procedures.

The Fund Accounting Supervisor oversees cash and position reconciliations, reviews fund pricing and compliance, mentors team members, and ensures deadlines are met.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead and architect Nearmap's ML platform, guiding the team in developing robust systems and implementing best practices for MLOps and AIOps.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Pricing ML Specialist, you will create and maintain a pricing system, focusing on data and machine learning to enhance online travel booking experiences.

As a Middle Infrastructure Engineer, you will deploy, scale, and maintain services for the ML/AI team, collaborating on infrastructure architecture decisions.

As a Junior/Mid-Level ML Data Engineer, you'll develop data pipelines, support ML model deployment, and collaborate with teams on AI projects.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Machine Learning Engineer II will develop and optimize ML models, process large datasets, and integrate ML solutions while collaborating with peers and staying up to date on technologies.

The Senior Machine Learning Engineer will design and implement ML models, lead projects, mentor juniors, and collaborate with cross-functional teams in the AI Labs department.

Lead the development and deployment of AI solutions, collaborating with teams to ensure scalable, secure applications that meet business needs.