ML / AI Jobs in Poland
There are 235 open ML / AI jobs in Poland on freehire right now. 28 of them were posted recently. The skills employers ask for most often are machine-learning, python and ai.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| PLN | year | PLN 210,835 | PLN 300,000 | PLN 373,100 | 14 |
| PLN | month | PLN 23,000 | PLN 26,750 | PLN 28,375 | 10 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 94%
- python 83%
- ai 78%
- pytorch 48%
- cloud 44%
- ci-cd 36%
- llm 36%
- mlops 34%
How the work is done
- Remote 93 · 40%
- Hybrid 75 · 32%
- Onsite 2 · 1%
Visa sponsorship offered in 55% of the 42 postings that state a position on it.
Seniority
- Senior 93
- Lead 12
- Middle 6
- Staff 5
- Junior 4
- C-level 1
Who is hiring
- 501-1000 employees 35
- 1000+ employees 33
- 51-200 employees 15
- 11-50 employees 10
- 201-500 employees 4
- 1-10 employees 1
English level
- C1 61%
- B2 35%
- B1 4%
Share of the postings that state a required level (at least 20% of this market do).
(Senior) Machine Learning Developer (Junie)
Build and ship Junie, an AI coding agent, by developing ML models, CLI tools, and autonomous agent behaviors to improve developer productivity across JetBrains IDEs.
ML Engineer
Build and maintain ML infrastructure including data pipelines, ETL workflows, and model deployment using Python, Docker, Kubernetes, GCP/Azure, and orchestration tools like Airflow or Kubeflow.
Senior Machine Learning Engineer (E3)
Senior ML Engineer builds and operates production AI systems for Ocado’s ecommerce personalization, ranking, and recommendation features using Python, GCP/Vertex AI, and BigQuery.
Databricks GenAI ML Engineer for Data Platforms
Building data pipelines, maintaining ML models, and integrating diverse data sources into a unified analytics environment using Databricks, MLflow, and PySpark for GenAI and agent-based solutions.
ML Engineer, Data & AI (Azure + Databricks)
Build and operationalize ML solutions using Azure and Databricks, translating business requirements into scalable, maintainable ML workflows within a Scrum team of data engineers and analysts.
Junior Machine Learning Engineer – Data & AI (Python)
Junior ML Engineer supporting the Data & AI team at a global tea company, building computer vision, forecasting, classification, and LLM workflows using Python, Databricks, and Azure.
ml engineer data platforms
ML Engineer building scalable data pipelines and GenAI/Agentic AI solutions on Databricks Lakehouse using PySpark, MLflow, and Python AI frameworks for consulting clients across Europe.
Senior ML Engineer: Data & AI Pipelines Lead
Senior ML Engineer leading end-to-end ML pipelines at Lipton Teas & Infusions, using Databricks and AzureML to build scalable ML services across computer vision, forecasting, and LLM-enabled workflows while mentoring the ML chapter.
Expert Python Engineer with AI/ML skills
Build and deploy AI/ML solutions in Python for credit and lending, leading architecture and mentoring engineers in a hybrid Kraków office.
Senior Python Engineer with AI/ML skills
Senior Python engineer builds AI/ML systems for credit and lending using LLMs, RAG, and vector databases in a Kraków-based hybrid role.
AI/ML Engineer
Build and deploy generative AI models (NLP, computer vision) for travel experiences using Python, Azure/AWS, and MLOps/LLMOps to power chatbots, recommendations, and content systems.
Senior ML Engineer (AI)
The Senior ML Engineer will join the AI Engineering Team to develop production-grade solutions using Generative AI, LLMs, and RAG. The role involves working with Python and cloud platforms like Azure and AWS to build AI-driven applications.
Senior Machine Learning Engineer
Build and deploy ML pipelines for document intelligence using AWS, focusing on GenAI, RAG, and multi-modal models to extract data from large PDFs for mobility clients.
Senior Staff Machine Learning Engineer, Menu Personalisation
Leads the machine learning systems that personalize meal recommendations for millions of HelloFresh customers, designing and operating scalable recommender pipelines and infrastructure.
C++ Machine Learning Engineer, Models Training
Develops and optimizes high-performance C++ components for training machine learning models on custom silicon, working closely with compiler and kernel teams to scale AI workloads efficiently.
Machine Learning Integrations Engineer
The Machine Learning Integrations Engineer bridges data science and production by deploying and maintaining ML models within a logistics platform. The role involves full-stack development using TypeScript, Python, and React, alongside managing microservices and CI/CD pipelines.
Integration Engineer - Machine Learning
The Integration Engineer will bridge data science and production by deploying and maintaining machine learning models within a full-stack environment. The role involves working with TypeScript, Python, React, and microservices to deliver scalable AI features for a logistics platform.
Senior Director of Machine Learning (Experiences)
Leads a machine learning organization at a global travel platform, defining AI strategy for personalization, recommendations, and generative AI while scaling a team across London, Oxford, and Krakow.