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.

Design, build, deploy, and evaluate production-grade generative AI applications using foundation models and LLMs. Develop RAG systems, AI agents, fine-tuned models, evaluation pipelines, and high-quality datasets for financial workflows. Optimize latency and cost while implementing scalable deployment, monitoring, safety guardrails, and responsible AI practices. Collaborate cross-functionally to deliver AI-powered solutions for finance and accounting teams.

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.

Provides strategic and hands-on biostatistical leadership across pharmaceutical discovery, translational, biomarker, and early research programs. Designs studies, analyzes complex biological datasets, develops advanced statistical methods and reproducible R workflows, and translates evidence into portfolio decisions. The role collaborates with quantitative and scientific functions, supports publications and external partnerships, mentors statisticians, and advances data-driven analytical practices.

Leads clinical data science delivery and team development, designing advanced statistical models and machine learning methods for clinical research. Oversees data analysis, management, regulatory compliance, and trial optimization while collaborating with clinical, biostatistical, and regulatory teams. Communicates complex insights to senior stakeholders and external partners and drives innovation across clinical development programs.

Own the vision, roadmap, backlog, and delivery of AI initiatives across ARCHIMED. Translate business needs into product requirements, coordinate technical and business stakeholders, drive adoption and change management, evaluate AI tools and vendors, and support responsible AI governance. Monitor KPIs, manage risks, develop support materials, and ensure AI solutions deliver measurable business value.

Supports the design and implementation of AI and GenAI solutions, including prototypes, integrations, automations, workflows, testing, deployment, and documentation. Collaborates with business and technical stakeholders to identify and validate use cases, integrates AI services and data sources, and contributes to workshops, training, and solution adoption.

Develop and maintain scalable metrics engines, risk workflows, calculation platforms, and analytics systems for counterparty credit risk. Write production-grade code, optimize high-throughput data processes, implement cloud-first and AI-enabled architecture, and maintain engineering excellence through testing and code reviews. Collaborate with quantitative engineers, technical leaders, and product managers to deliver resilient systems supporting risk evaluation, credit ratings, scenario analysis, and risk appetite management.

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.