AI/ML Engineer Career Path in Poland: Salaries, Tools, Certifications [2026]

Looking for an answer to “how much does an AI engineer earn in Poland” or “how to become an AI engineer in Poland”? You are in the right place. This guide is based on data from over 3,500 recruitment interviews conducted by ITDS in 2025 – not surveys, but real offers and salary expectations collected in live hiring processes.

 

Why now is the right time to move into AI/ML in Poland

2025 marked a turning point: AI stopped being an “innovation project” and became infrastructure. Over 80% of Polish companies declared AI adoption in their core business processes. This is not a buzzword – it is a structural shift.

According to ITDS data, AI/ML specializations are seeing the fastest demand growth across all IT areas – estimated at 25-40% year-on-year in 2025, driven by generative AI, automation and enterprise-scale deployments. Security follows closely at 20-30%, then Data & BI at 15-25%. At the same time, 55% of Polish IT companies reported difficulties finding candidates with the right competencies in 2025. For you as a specialist, that is an opportunity worth taking seriously.

 

4 career paths in AI/ML – what sets them apart?

There is no single “AI role”. The Polish market has developed at least four distinct career paths, each with different requirements and salary ranges.

 

1. AI/ML Engineer

Who is this? Someone who builds and deploys machine learning models in production environments. The role combines data science competencies with solid software engineering.

What does the day-to-day look like?

Designing and training models (classical ML and deep learning)

Integrating models with backend systems and APIs

Optimising model performance (latency, throughput)

Working with tools like TensorFlow, PyTorch, scikit-learn, Hugging Face

Tech stack: Python, TensorFlow / PyTorch, scikit-learn, Hugging Face Transformers, FastAPI, Docker, Kubernetes, AWS SageMaker / Azure ML / Vertex AI

AI/ML Engineer salaries in Poland 2025 (ITDS data): Junior-level starts around 12,000-17,000 PLN gross per month on an employment contract, which translates to 80-110 PLN/h net on B2B. Mid-level sits in the 23,000-29,000 PLN gross range (130-170 PLN/h B2B). Senior engineers earn 29,000-35,000 PLN gross per month, or 180-220 PLN/h net on a B2B contract.

 

2. MLOps Engineer

Who is this? An infrastructure expert for ML systems – making sure models run reliably in production. CI/CD for ML, drift monitoring, experiment management.

What does the day-to-day look like?

Building ML pipelines (from raw data to deployment)

Managing model registries (MLflow, Weights & Biases)

Monitoring model degradation over time

Configuring infrastructure (Kubernetes, Airflow, Kubeflow)

Tech stack: Python, MLflow, Kubeflow / Vertex AI Pipelines, Apache Airflow, Docker, Kubernetes, Terraform, Prometheus/Grafana

MLOps Engineer salaries in Poland 2025 (ITDS data): Junior earns 13,000-17,000 PLN gross per month (90-110 PLN/h B2B). At mid-level, rates rise to 23,000-29,000 PLN gross (140-170 PLN/h B2B). Senior MLOps Engineers reach 29,000-35,000 PLN gross per month, or 190-220 PLN/h net on B2B – one of the highest-paid roles in the entire data ecosystem.

 

3. Data Scientist

Who is this? Someone who explores data, builds predictive and analytical models, and translates results into business language. In 2025 the role is evolving – Data Scientists are increasingly expected to work with LLMs and generative AI.

What does the day-to-day look like?

Analysing large datasets, identifying patterns

Building predictive models (churn, scoring, forecasting)

Visualising results and presenting them to stakeholders

Experimenting with LLM fine-tuning for business use cases

Tech stack: Python, Pandas, NumPy, scikit-learn, Matplotlib / Plotly, SQL, Jupyter, LangChain (increasingly common), Power BI / Tableau

Data Scientist salaries in Poland 2025 (ITDS data): Junior level sits at 11,000-13,000 PLN gross per month (70-90 PLN/h B2B). Mid-level reaches 17,000-25,000 PLN gross (120-140 PLN/h B2B). Senior Data Scientists earn 23,000-27,000 PLN gross per month or 140-170 PLN/h net on contract.

 

4. Applied AI / Research Engineer

Who is this? Someone who works at the intersection of research and production. They follow the latest papers, adapt state-of-the-art models to real business problems, and experiment with architectures.

What does the day-to-day look like?

Prototyping and evaluating new model architectures

Fine-tuning and RLHF for language models

Designing RAG (Retrieval-Augmented Generation) systems

Writing code that sits alongside linear algebra and probability theory

Tech stack: Python, PyTorch, Hugging Face, LangChain / LlamaIndex, FAISS / Pinecone / Weaviate (vector DBs), vLLM, OpenAI API / Anthropic API

Salaries: At senior level, comparable to or above AI/ML Engineer – in 2025 a senior Applied AI Engineer on B2B was earning 190-240 PLN/h net.

 

AI engineer salaries in Poland – how do you compare to the market?

To put the numbers in context, it helps to compare AI/ML paths against other senior B2B roles. According to the ITDS report “IT Talent Trends 2026. Polish IT Specialist Market”, Data Architects top the scale at 190-240 PLN/h, followed closely by MLOps and AI/ML Engineers at 190-220 and 180-220 PLN/h respectively. Data Scientists and BI/ETL Developers sit somewhat lower but still attractively at 140-170 PLN/h, with Data Analysts at 120-150 PLN/h.

For comparison: a senior Java Developer earns 140-160 PLN/h, and a senior Full-stack Developer 150-180 PLN/h. AI/ML Engineers sit clearly above both. That is worth noting for developers considering a move into machine learning.

 

How to become an AI engineer in Poland – a skills map

Based on analysis of thousands of ITDS job descriptions from last year, the hierarchy of in-demand skills looked like this:

Foundation (non-negotiable):

• Python – one of the most frequently required languages in AI/ML, consistently ranking at the top of ITDS demand data
• SQL – still the overall number one in demand rankings, essential across every data role
• Docker + Kubernetes – without container knowledge you will not get through an MLOps interview

 

Model layer (core AI/ML):

• scikit-learn – classical ML, pipelines, feature engineering
• TensorFlow or PyTorch – you need to pick one as your primary deep learning framework (PyTorch dominates in research, TensorFlow/Keras in enterprise)
• Hugging Face Transformers – your entry point into the world of LLMs
• LangChain / LlamaIndex – building LLM-powered applications (RAG, agents)

 

MLOps layer (what sets you apart):

• MLflow – experiment tracking, model registry
• Kubeflow or Vertex AI Pipelines – ML pipelines in Kubernetes
• Apache Airflow – data and job orchestration
• Cloud (required at mid and senior level):
• AWS (SageMaker, Lambda, S3, EC2)
• Google Cloud (Vertex AI, BigQuery, Dataflow)
• Azure (Azure ML, Databricks)

 

Emerging skills (gaining importance in 2025-2026):

• Prompt engineering – not just for “AI writers”, but as an engineering tool
• Vector databases (Pinecone, Weaviate, FAISS, Qdrant) – essential for RAG and semantic search
• Go (Golang) – growing importance in backend and ML infrastructure
• vLLM / Triton – model optimisation and production serving

 

Certifications worth considering in 2025/2026

Certifications have a real impact on salary negotiations. Based on ITDS recruitment data, the most valued credentials in job descriptions are:

Cloud (highest ROI):

• AWS Certified Machine Learning – Specialty – a strong signal for AWS-heavy organisations
• Google Professional Machine Learning Engineer – prestigious, demanding, highly regarded in big tech
• Microsoft Certified: Azure AI Engineer Associate (AI-102) – a solid entry point, widely recognised in corporate environments

 

Framework / platform:

• TensorFlow Developer Certificate (Google) – validates practical skills
• Databricks Certified Associate Developer for Apache Spark – if you work with large-scale data

 

Academic / foundational:

• Deep Learning Specialization (Coursera / Andrew Ng) – the industry standard as proof of solid fundamentals
• fast.ai Practical Deep Learning – hands-on, well regarded among senior engineers

 

One thing to keep in mind: certifications open doors, but technical interviews at Polish employers verify practice. A certificate without a GitHub/Kaggle portfolio carries less weight than a strong project without one.

 

What employers in Poland are actually looking for

Based on ITDS observations from hundreds of AI/ML recruitment processes conducted in 2025:

Technically, employers expect:

• The ability to build end-to-end pipelines (from raw data to deployment)
• Understanding of the full model lifecycle, not just training
• Experience with CI/CD for ML (knowing scikit-learn is not enough on its own)
• The ability to reason about trade-offs: accuracy vs latency, cost vs quality

 

Soft skills are gaining ground. A growing share of job descriptions now explicitly ask for the ability to translate model outputs into business language, cross-functional communication (working with product, data engineering and backend teams), and the capacity to adapt quickly – frameworks and models change every quarter.

What sets senior candidates apart:

• Own open source projects or contributions (GitHub)
• Technical writing, talks at conferences (PyData, ML in PL)
• Experience across more than one cloud provider
• English at a level that allows working in international teams – in ITDS research, an international working environment is frequently cited as one of the key motivators for changing jobs

 

What kinds of projects are being built in Poland?

ITDS works with over 60 international clients, including Fortune 500 companies. AI/ML projects delivered from Poland span credit scoring and fraud detection models in fintech and banking, recommendation systems and demand forecasting in retail, automated claims processing in insurance, predictive maintenance and computer vision in manufacturing, and clinical NLP in healthcare.

Poland is positioning itself as an R&D hub for international firms – not just a delivery location, but a centre of innovation. Companies like Google and Microsoft confirmed the strengthening of their Polish centres in 2025.

 

The AI/ML job market in Poland – key facts

Demand for AI/ML roles is growing 25-40% year-on-year – far faster than traditional software development roles. The market saw a clear rebound after the slowdown in 2024, driven primarily by AI, Cybersecurity and Data roles. There are an estimated 350,000-450,000 IT specialists in Poland in total, but the talent shortage in AI and Cybersecurity remains critical – 55% of companies struggle to find the right candidates. Senior AI/ML Engineers rarely look for work actively; recruiters come to them.

On compensation: overall IT salary growth in 2025 was 5-7%, but in AI/ML it reached 8-10% year-on-year. Broad-based pay increases for everyone have given way to selective premiums for scarce skills. The main AI/ML talent hubs are Warsaw, Krakow, Wroclaw and the Tricity, though remote work dominates in practice – while 60% of roles are advertised as hybrid, the majority effectively become fully remote after the onboarding phase.

 

Remote work and working models – what the data says

According to the ITDS 2025 report, 53% of Polish IT specialists prefer fully remote work, 45% hybrid, and only 2% on-site. More importantly, 86% would consider changing jobs if their employer reduced remote work availability. In AI/ML – given the nature of the work (cloud compute, collaboration via GitHub and Slack) – remote is particularly natural. As a candidate, you have real negotiating power here.

 

How ITDS helps AI/ML engineers

ITDS has been connecting IT specialists with projects at 60+ international clients, including Fortune 500 companies, for over 10 years. Our AI/ML projects cover all four career paths described above.

We offer access to projects for clients across Western Europe, Benelux and the US in an English-speaking environment, rates negotiated on the basis of real market data (3,500+ recruitment interviews per year), and onboarding within an average of 20 days from first contact. ITDS TalentHub is a database of 50,000+ pre-vetted specialists – if you have AI/ML on your CV, ITDS recruiters will find you even without an active job search.

 

Key takeaways

• AI/ML Engineer is one of the best-paid roles in Polish IT – a senior on B2B earns 180-220 PLN/h net, clearly above classic Java or .NET Developer rates
• 4 main paths: AI/ML Engineer, MLOps, Data Scientist, Applied AI/Research – each with a different work profile and salary range
• Python + cloud (AWS/GCP/Azure) + LLM knowledge is the foundation of every profile today
• Cloud certifications (AWS ML Specialty, Google MLE) genuinely help in salary negotiations
• Poland is a strategic AI/ML hub in Europe – you work on global projects without leaving the country
• Demand is growing 25-40% YoY with a persistent talent shortage – this is one of the best moments to enter or scale an AI/ML career

 

Salary data comes from the ITDS internal database – 3,500+ recruitment interviews conducted in 2025. B2B rates are quoted in PLN net per hour; employment contract salaries in PLN gross per month.

Want to know what you could earn at your current level? Apply for ITDS job opportunities →