Top Machine Learning Jobs in Poland

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

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.

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 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, optimize, benchmark, and scale large AI models for Graphcore hardware; run distributed training across thousands of accelerators, design experiments, collaborate with research and software teams, and contribute performance improvements and code reviews.

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

The Senior Product Manager will define the roadmap for ML-powered features, enhance customer satisfaction, and collaborate with cross-functional teams to launch AI capabilities.

Develop and operationalise meteorological tools and products by analysing NWP, radar and satellite data, applying data-driven and AI methods, engaging stakeholders, directing research, and delivering software applications for forecast services.

The AI Lead Developer designs and deploys AI solutions for business needs, collaborating with teams to ensure scalable, reliable applications throughout their lifecycle.

Design and build scalable Snowflake-based data solutions, ETL/ELT pipelines, and reusable data models. Optimize data extraction from Robotics and ERP sources, enable data-as-product with governance and access controls, and consult on architecture and tooling to support analytics, ML, and IoT use cases.

Lead assessment, design, and implementation of a unified observability and monitoring platform across Skywise. Audit existing telemetry, define a scalable roadmap, consolidate tools, optimize costs, integrate AIOps/ML capabilities, evangelize SRE practices, and take ownership of platform governance and knowledge transfer.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Lead and deliver Discrete Event Simulation (FlexSim) consulting engagements from discovery to implementation. Build, validate and present simulation models, support technical escalations, drive pre-sales demos and solution scoping, mentor junior staff, develop repeatable methodologies, and collaborate with product, development and customer success teams to improve operations and adoption across EMEA.

Develop predictive models and analytical solutions to support commercial growth. Translate business problems into data-driven approaches, partner with cross-functional stakeholders, analyze customer behavior and market trends, produce dashboards and visualizations, ensure data quality, and communicate actionable recommendations to technical and non-technical audiences.

As an Engagement Manager, you'll ensure customer success in protein R&D by building relationships, tracking metrics, and leading cross-functional teams. You'll manage enterprise accounts and advocate for customers while aligning their needs with Cradle's offerings.

The Data Scientist will design and optimize ML and Generative AI models, perform data analysis, and collaborate with technical teams to develop AI solutions. Requires 4 years of experience and strong Python skills.

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

Analyze large datasets and apply statistical and ML techniques to measure and improve platform performance and reliability. Build diagnostic tools, define KPIs, mine internal data feeds, automate analytical workflows, and partner with engineering, operations, and product teams to influence technical decisions and increase system reliability.

Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.

Lead legal counsel for an adtech company providing commercial, product, privacy, and regulatory counsel. Negotiate complex agreements, advise on global privacy and IAB standards, support product launches and AI use cases, manage data governance and incident response, oversee corporate compliance and outside counsel, and build scalable legal operations and contract workflows.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

Support ~25–30 learners in a virtual ML/data program by answering questions, facilitating breakout rooms, holding office hours, grading submissions, monitoring Slack, reviewing materials, and providing constructive feedback. Provide bilingual (German/English) technical support focused on data annotation, labeling QA, and generative AI concepts. Participate in onboarding, weekly staff meetings, and submit program improvement write-ups.