.
Machine Learning Engineer
  • Wrocław
Machine Learning Engineer
Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
STX Next S.A.
12. 10. 2025
Informacje o stanowisku

Machine Learning Engineer

Miejsce pracy: Wrocław

Technologies we use

Expected

  • MySQL
  • Pandas
  • Oracle
  • Python

About the project

What it’s like to be a Machine Learning Engineer at STX Next

As a Machine Learning Engineer at STX Next, you’ll be empowered to apply your unique strengths within specific domains like Natural Language Processing, Computer Vision, or Recommender Systems. We’re not after experts in everything, but individuals with a deep understanding of machine learning principles who are driven by the ideas shaping the field. Here, theory meets practice as you’ll not only design models but also implement them as APIs and integrate them seamlessly into client systems.

At STX Next, we believe every challenge holds the potential for innovation. By blending imagination, collaboration, and craftsmanship, we work to uncover solutions—even when they’re not immediately visible. Our goal is to create meaningful impact with every project. We work side-by-side with our clients as both consultants and architects, introducing bold ideas and reshaping conventions to serve their needs and enhance end-user experiences. Whether we’re bringing fresh ideas or ensuring software quality, our focus is on delivering reliable, high-value solutions.

Your responsibilities

  • Identifying research goals and conducting literature reviews.
  • Formulating hypotheses and collecting data.
  • Conducting data analysis, experimentation, and testing.
  • Collaborating with cross-functional teams to integrate machine learning models into production environments.

Our requirements

  • Understanding of key machine learning problem types (e.g., classification, regression, clustering).
  • Familiarity with common evaluation metrics (e.g., precision, recall, F1, IoU, ROUGE).
  • Experience with popular models and algorithms (e.g., random forests, SVMs, XGBoost, ensemble methods).
  • Knowledge of dimensionality reduction techniques (e.g., PCA, t-SNE, UMAP).
  • Proficiency in data preparation and visualization libraries (e.g., pandas, matplotlib).
  • Familiarity with current neural network architectures (e.g., RNNs, CNNs, Transformers) and methods (e.g., transfer learning).
  • Documented experience with at least one major machine learning library (e.g., PyTorch, TensorFlow).
  • Strong understanding of relational databases and hands-on experience with one of the following: PostgreSQL, MySQL, MS SQL, or Oracle.
  • Proficiency in Python, the primary language used in our ML projects.
  • Excellent communication skills in English (minimum B2).
  • A proactive attitude towards problem-solving and analytical thinking.
  • A friendly and collaborative approach to teamwork—being nice goes a long way!

Development opportunities we offer

  • assistance in preparation to public speeches
  • conferences in Poland
  • intracompany training
  • soft skills training
  • substantive support from technological leaders
  • support of IT events
  • technical knowledge exchange within the company

What we offer

  • Work-life balance: We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides
  • Reimbursed private medical care (Medicover) and Multisport: We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives
  • Leader’s support: Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday
  • Technology focus: Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain
  • Growth review: Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months
  • Events: Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!
  • Workation: Team trips where you have a chance as a team not only to work together, but also integrate f2f

Benefits

  • sharing the costs of sports activities
  • private medical care
  • life insurance
  • remote work opportunities
  • flexible working time
  • corporate products and services at discounted prices
  • integration events
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone

Recruitment stages

  • Initial Interview (1h)
  • Second interview (1,5h)

STX Next S.A.

Hi there!

We are the biggest European Python Powerhouse with over 19 years of experience and deep commitment to Agile principles. Join a group of 500+ professionals dedicated to helping customers build outstanding products.

Are you the NEXT one?

“The Controller of your personal data is STX Next spółka akcyjna with its registered office in Poznań (61-854), ul. Mostowa 38, KRS [company registration number: 0000967074. Personal data will be processed in order to carry out recruitment process, and if you have given your consent, for the purposes of future recruitment processes. You have the right to access the data, rectify the data, erase the data, restrict the processing of the data, data portability and to withdraw your consent at any time without affecting the lawfulness of processing carried out on the basis of consent before its withdrawal. For more information on the processing of your personal data, please see our Privacy policy https://career.stxnext.com/polityka-prywatnosci.
If your job application for the needs of current recruitment process at STX Next S.A. includes personal data that is not required by law or by the Controller, clicking the Send button to submit the application constitutes your consent to the processing of this data in order to conduct the recruitment process by STX Next S.A.
I agree to receive marketing content from STX Next S.A. via electronic means to the email address provided by me.
I agree to the processing of my personal data included in my job application for the needs of future recruitment processes at STX Next S.A.”

  • Praca Wrocław
  • Wrocław - Oferty pracy w okolicznych lokalizacjach


    125 875
    24 736