Top Machine Learning Jobs in Poland

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

Lead AI Solutions Consultant advises on AI/ML, NLP, and Generative AI initiatives, shaping solution frameworks, assessing feasibility and risks, mapping dependencies, and producing implementation guidance. Partners with business, data, tech, risk, and vendors to ensure responsible AI, governance, privacy, security, and regulatory controls while enabling technology teams to deliver.

Lead a Special Projects engineering team to explore and implement Generative AI and cloud solutions. Hands-on development in Python/Java, collaborate with product and data science, design and deploy ML/LLM solutions to production on GCP/Vertex AI, and mentor engineers while promoting continuous learning.

Lead advanced data science projects, develop AI/ML products, build ML-powered web applications, and manage product lifecycle while collaborating across functions.

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.

Lead design and implementation of threat detection features for on-prem and hybrid identity environments. Build scalable backend services, integrate product capabilities across the ITDR portfolio, apply AI/ML for anomaly detection, and mentor engineers. Collaborate with product and platform teams to align architecture, security, and operational practices for enterprise deployments.

Senior Software Engineer will build and own backend-focused fullstack features across AI Retrieval, Infrastructure, or Product teams. Responsibilities include improving search/retrieval quality and latency, building scalable backend systems, contributing to embeddings/ML-powered search, collaborating cross-functionally, and shipping production-ready code in a continuous deployment environment.

Design, build, and maintain analytical and ML models for finance use cases (forecasting, profitability, cash‑flow, scenario analysis). Build data pipelines from ERP/CRM/planning sources, ensure data quality, govern models (versioning, validation, monitoring), and promote analytics best practices across global Finance stakeholders while ensuring compliance.

Manage client relationships for AI data-labeling projects, act as primary client contact, lead and train annotation teams, ensure timely delivery, monitor metrics, resolve conflicts, and drive process improvements and automation.

Define and govern data architecture for global engineering platforms: design canonical data models, integration patterns, governed data products, metadata, lineage and quality standards, and enable AI/Generative AI use cases (knowledge graphs, vector search, RAG). Partner with architects, platform owners, and analytics teams, lead architecture reviews, and produce standards, blueprints, and implementation guidance to improve engineering analytics and platform adoption.

Implement and maintain systems and tools across build, QA, and ML/GenAI areas; collaborate with technology teams to support AAA game production; debug, optimize systems, and produce technical documentation.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Lead strategy and delivery of enterprise AI and intelligent automation programs. Identify high-value use cases, design and deploy RPA and AI/ML solutions, build automation roadmaps and governance, drive cost savings and ROI, integrate automation into transformation programs, and mentor teams while advising senior stakeholders and clients.

Develop and improve quantitative supply-and-demand models and forecasts for power markets, integrate weather and climate data, apply machine learning and AI methods, process large time-series and geospatial datasets, produce analysis and reports for market participants, and collaborate across research, data science, engineering and product teams.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

Investigate KYC/AML and sanctions screening matches during onboarding and maintenance; gather evidence from internal systems and external databases; assess customer risk and make disposition decisions; collaborate with business and compliance partners; work within agreed timeframes and apply training to build sanctions and KYC expertise.

Analyze and investigate customer matches against sanctions and KYC/AML lists during account opening and maintenance. Conduct searches, gather and record evidence from internal systems, internet and commercial databases. Collaborate with Business and Compliance partners, operate within agreed timeframes, apply training, build sanctions/KYC knowledge, and use AI/ML screening tools to support alert disposition.

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.

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

Design, build, and own scalable backend services, APIs, and high-performance web frontends for an autonomous procurement platform. Improve reliability, security, and performance, implement async task pipelines, and collaborate with product and design. Mentor juniors, participate in code reviews, and leverage AI-assisted tools while shipping iteratively in a globally distributed, async-first team.

Partner with Market Units to analyze product, customer, and market data, produce pricing dashboards and reports, run workshops, track and improve pricing initiatives, and develop PriceFX analytics and AI-driven pricing agents while training users and collaborating with IT and data science teams.

The Data/Information Architect designs and maintains the information landscape, streamlining data flows and establishing governance standards, while collaborating with stakeholders to optimize data processes.

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.