Top Machine Learning Jobs in Poland

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Design and deploy production-grade systems integrating machine learning models into scalable software pipelines, while focusing on maintainability, performance, and collaboration with teams.

The Customer Success Manager will enhance customer experience by driving product integration, managing account health, and advocating for customer needs within the company.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Manage the end-to-end product lifecycle for financial crime tools, focusing on compliance, innovation, and backlog management while liaising between engineering and business teams.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

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

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

The Investor Services Director oversees Investor Services and Transfer Agency processes, ensuring high-quality service to clients and compliance with regulations, while managing teams and improving operational procedures.

Lead ML infrastructure upgrades in hyperscale data centres across EMEA: manage contractors, schedules, logistics, mechanical/electrical/fibre coordination, commissioning (L3/L4 support), risk mitigation, reporting, and lessons learned throughout full project lifecycle.

Design, implement, deploy, and monitor scalable ML pipelines and experiments. Develop production-quality code, CI/CD, containerized deployments, unit tests, and troubleshooting. Support customers and stakeholders with demos, documentation, and sales/operations support. Work with LLMs, AI agents, and advanced statistical/numerical methods.

The Senior ML Engineer will design, build, and optimize ML models, focusing on recommender systems and MLOps, primarily using AWS.

The Junior ML Engineer will automate information extraction, build models, develop ML pipelines, and analyze data for insights.

Lead investigations into KPI shifts, mentor Brand Analysts, bridge business and data science teams, and create innovative segmentation strategies.

The role involves leading a team of Data Science Engineers to develop sports analytics and predictive models, ensuring high quality of data science workflows and collaboration with the Engineering Manager.

Develop and maintain ML models, improve data flow, troubleshoot data issues, optimize systems, and document technical specifications in an agile environment.

As a Senior Machine Learning Engineer, you will design document intelligence pipelines, develop ML models for classification, and establish evaluation metrics while collaborating with various teams.

The Senior/Lead Machine Learning Engineer will design and implement document intelligence pipelines, optimize ML models for document processing, collaborate with experts, and monitor production systems.

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.

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

The Senior Machine Learning Engineer will execute software engineering tasks for machine learning operations, design MLOps systems, mentor team members, and ensure reliable ML systems using modern technologies.