Top Machine Learning Jobs in Poland

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Lead design and implementation of map and location quality testing: develop ML and statistical test designs, sampling plans, metrics, data pipelines, and tools; collaborate with stakeholders and present results to internal and external customers.

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 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.

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.

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.

Develop machine-learning and statistical solutions to measure and improve map and location quality. Design experiments and sampling strategies, define statistical quality metrics, build scalable data and computing tools, collaborate cross-functionally, and communicate results through presentations and white papers.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

Lead Kyriba and treasury technology strategy, integrations, support, and continuous improvement. Manage SDLC delivery, bank connectivity (SWIFT/API/host-to-host), SAP S/4HANA integrations, vendor relationships, compliance (SOX), and drive automation, analytics, and treasury transformation across global operations.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

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

Lead frontend development for the Entitlements platform, owning full SDLC. Design scalable, secure systems, mentor engineers, integrate with backend microservices, and advance LLM-based assistants and personalization using OpenAI/ML models.

Lead design and delivery of Entitlements features for high-traffic digital banking products. Own full SDLC, improve architecture and integrations, mentor engineers, and build LLM-based assistants and personalization engines while ensuring security, scalability, and resilience.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Work with AAA developers to optimize GPU/system performance for path-traced and neural rendering, develop and tune neural rendering algorithms and AI models, profile and optimize low-level performance, collaborate with architecture and driver teams, and create demos, papers, and presentations for conferences.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

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.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Lead and build Solidgate's ML/AI function from scratch: define vision and architecture, hire and lead the team, deliver real-time decisioning and recommendation systems, partner with Product/Engineering/Data Platform, run experiments and A/B tests, and translate models into revenue-driving production features.

Lead and deliver statistical support for Phase II-III clinical trials embedded with a sponsor: design input, SAP/sample size, interim/final analyses, oversight of programmers/statisticians, regulatory submissions, and collaborate cross-functionally to ensure compliant, high-quality statistical deliverables. Apply advanced statistical methods and ML/DL for analytics and process automation.

Design, implement, and optimize performance-critical GPU-style kernels (e.g., matmul, attention) and host-side orchestration. Identify bottlenecks, deliver measurable throughput improvements, create micro-benchmarks, regression tests, and tooling, and collaborate with compiler, runtime, ML, and hardware teams to integrate kernels into production.

Lead the deployment and management of ML/DL models, design systems for dataset management, and optimize model serving processes in production.

Build and productionize ML models (segmentation, churn, LTV, recommendations), define ML problem scope and evaluation, collaborate with Product/Engineering/BI, monitor drift and retrain models, design production integrations and APIs, use telemetry and AI coding agents to accelerate development, and communicate results to technical and non-technical stakeholders.