Top Machine Learning Jobs in Poland

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 the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.

The Quality Engineer will drive the adoption of AI-powered testing tools, establish self-service quality standards, and improve end-to-end test coverage while coaching teams to own their quality processes.

As a RAN Technical Support Intern, you'll support mobile network solutions, troubleshoot RAN systems, and implement AI/ML solutions while learning from experienced professionals.

Develop and specify radio network system features for 5G RAN, perform system studies (RRM, scheduling, link adaptation), build network-level simulators, verify and analyze 5G system tests, support product deployment and customer troubleshooting, and contribute to standards and innovation.

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.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

As a Senior Software Engineer, you will develop and support kernels for linear algebra operations on AI hardware, ensure performance and correctness, and mentor team members.

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.

Design and implement scalable backend services for on-prem and SaaS identity-security products. Integrate identity systems (Active Directory/Entra ID), cloud platforms, and Netwrix security platform. Apply event-driven architectures, CI/CD, observability, and AI/ML for threat detection. Mentor engineers, influence architecture, and collaborate with product and customer-facing teams to triage issues and deliver secure, high-quality solutions.

Design and implement scalable backend services for on‑prem and SaaS cybersecurity products. Integrate identity systems (Active Directory/Entra ID), APIs, databases, and AI-driven detection. Collaborate with product, platform, and customer teams, mentor engineers, and influence architecture, scalability, security, and DevOps practices.

As a Junior .NET Software Engineer, you'll learn software development concepts while working on AI technologies, supporting production issues, and deploying web applications. You'll receive mentorship as you debug and contribute to applications in a collaborative environment.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

The Strategic Commercial Operations Analyst develops AI-driven sales analytics solutions, enhances performance tracking, and delivers actionable insights using Power BI and machine learning techniques.

The Lead AIOps Engineer will develop AI-driven operational capabilities, focusing on automation, anomaly detection, and efficient incident response. Responsibilities include building data pipelines, creating automation scripts, mentoring engineers, and establishing engineering standards.

The Lead AIOps & Automation Architect designs AI-driven operational strategies, architecture for automation, and frameworks for telemetry integration, influencing standards across service management.

As a Senior AIOps & Automation Engineer, you will develop AIOps capabilities, build automation for incident management, and deploy machine learning solutions for operational intelligence while collaborating across teams to enhance delivery outcomes.

The Python Developer will work on integrating a machine learning library with cloud platforms, optimizing ML workflows, and managing cloud services.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

The FP&A Manager leads financial planning, management reporting, and forecasting processes, providing insights for strategic decision-making alongside senior stakeholders.

Lead go-to-market planning for JetBrains AI Ecosystem launches, create clear messaging and launch assets, coordinate stakeholders, scale campaigns, gather market and customer insights, and track campaign performance to improve processes.

Design and deliver enterprise data management and analytics solutions for financial analytics. Build data pipelines, sourcing/scraping/OCR workflows, ML models and POCs, collaborate with engineering and product teams, and deploy solutions on cloud (AWS) using MLOps practices. Translate domain needs into platform strategy and drive implementation across teams.

Responsible for developing new and supporting existing kernels for linear algebra operations on AI hardware, focusing on performance optimization and quality improvement.

Responsible for developing and supporting kernels for linear algebra operations on AI hardware, optimizing performance and debugging issues.