Top Machine Learning Jobs in Poland

Designs and specifies 5G radio network system features, algorithms, test cases, and use cases, primarily focused on Radio Resource Management. Develops network-level simulations, analyzes performance data, supports system verification and customer troubleshooting, contributes to 5G/6G standardization and patents, and assists with deploying products into live networks. Collaborates with global development, customer, and cross-functional teams.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Develop OAM management solutions for 5G/6G RAN, design and implement rApps on Non-RT EIC, integrate AI/ML features, drive studies, bridge design and verification, own technical areas, engage in standardization and customer interactions.

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.

Lead delivery of real-time fraud decisioning services and platform capabilities for international markets. Design and implement backend services and APIs, integrate regional vendors and ML/AI signals, support operations and on-call, and mentor engineers to maintain high-quality, scalable systems.

Design and specify RAN Baseband system features for 5G, perform system studies in radio resource management and physical layer algorithms, develop network-level simulators, analyze test and network performance, support product verification and deployment, contribute to standards and innovation, and collaborate globally across development and customer teams.

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

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI features through backend APIs. Design resilient real-time user experiences, optimize performance and resource usage, collect telemetry, and collaborate with ML and backend teams. The role requires shipping consumer-facing App Store applications with reliable networking, graceful degradation, concurrency, and on-device machine learning capabilities.

Paid Data Science internship focused on preparing and analyzing data, applying statistical and machine learning methods, building predictive and forecasting models, evaluating performance, and supporting production deployment and monitoring. Interns will also explore Generative AI, document findings, and collaborate with data scientists, ML engineers, and business stakeholders. The role requires active student status, quantitative academic study, Python and data science library experience, strong analytical skills, and English and Polish proficiency.

Analyze high-volume battery telemetry data, build machine learning models for degradation, failure prediction, anomaly detection, and predictive maintenance, and develop AI-driven optimization strategies for energy storage operations. Create automated dashboards, perform root cause analysis on cell and module deviations, collaborate with engineering teams, and maintain documented, reproducible analytical pipelines.

Support development and fine-tuning of ML and Agentic AI solutions for pharma/healthcare. Assist in building, testing, and validating prototypes and production-grade algorithms using large real-world datasets. Collaborate with ML engineers, researchers, and clients to deliver deployable AI products.

Lead complex AI and machine learning programs from proof of concept through deployment across global industrial teams. Manage integrated plans, milestones, dependencies, risks, issues, priorities, RAID tracking, governance, and executive reporting. Serve as Global Scrum Master, facilitate Agile ceremonies, coordinate technical and business stakeholders, and drive adoption and measurable business value. Apply Lean principles and ensure alignment with NPI / Stage-Gate requirements, quality, safety, operational continuity, and digital transformation objectives.

Own end-to-end talent acquisition and headhunting for Arago’s technical hiring across France, North America, and Israel. Partner with the CEO, CTOs, and engineering leaders to define roles, source and close senior engineers, scientists, and technical leaders across hardware, optical, software, and research. Build proactive sourcing pipelines, improve interview processes and hiring standards, monitor pipeline health and hiring velocity, and communicate progress to leadership.

Coordinate field trials and deployments of AI-driven cleaning technologies. Manage vendors, contracts, work orders, compliance, data annotation, and operational reporting. Analyze data to assess solution feasibility, train users, and support adoption of successful AI projects. The role requires outdoor fieldwork, occasional weekend or after-hours work, stakeholder coordination, and strong organizational and communication skills.

Develop statistical, machine learning, and predictive models to solve commercial and pricing business problems. Analyze large datasets with Python and SQL, use Databricks for advanced analytics, build Power BI dashboards and automated reports, and support AI tool deployment. Create workflow automation using PowerShell, PowerApps, or VBA while collaborating cross-functionally to translate business challenges into analytical solutions.

Develop and maintain data-driven business solutions using Big Data, analytics, predictive modeling, and machine learning. Integrate structured and unstructured data, create reports and dashboards, administer business applications and databases, and improve system reliability, performance, security, and standardization. Collaborate with vendors, consultants, key users, and support teams while documenting technical and analytical solutions.

Lead technical presales for Samsung’s AI-powered, cloud-based digital signage solutions. Design cloud architectures, translate technical capabilities into business value, deliver demonstrations and presentations, and collaborate with international clients, R&D, and product teams in English and Polish. The role covers AI analytics, SaaS CMS platforms, remote device management, and integration capabilities, with approximately 50% business travel across diverse markets.

Leads complex, cross-functional technical programs for studio infrastructure, cloud environments, hardware provisioning, data migrations, software integrations, and Generative AI/ML platform initiatives. Develops technical strategies, manages dependencies, risks, scope, schedules, and Day 1 readiness, while communicating progress and business impact to stakeholders and leadership across globally distributed teams.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate KYC, transaction monitoring, limits, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

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

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Embed KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Design, automate, and maintain credit risk data, ETL and reporting processes. Build Power BI dashboards, automate workflows with Microsoft Power Platform, write SQL/Python queries, partner with risk managers, and apply ML/AI to improve reporting and decision-making.

Join Ericsson as an intern in RAN Traffic Control to develop and support 5G Radio Access Network software. Participate in the full software lifecycle—study, coding, testing, documentation—troubleshoot issues, reproduce faults, manage configurations, and explore AI/ML solutions to improve operations while being mentored by experienced engineers.