Machine Learning Engineer

specialist (Mid / Regular), senior specialist (Senior) At STX Next, we build ML solutions that go into real production use: from classical tabular modelling, through vision computing and predictive maintenance, to ML systems enhanced with LLMs. We’re looking for an ML Engineer who can handle the entire process — from data work and modelling to deployment. We work in a remote-only model, in a team of experienced engineers where autonomy, technical reliability, and responsible decision-making matter. Your responsibilities Working with data: preparation, analysis, feature engineering, validation. Projects involving vision computing, predictive maintenance, and time series. Implementing models as APIs and integrating them with client systems. 10–20% research — as needed, but the job is primarily delivery. Opportunity to expand into LLM/RAG, if desired. Our requirements At least one commercially deployed ML project. Strong knowledge of: at least one DL framework (PyTorch or TensorFlow). Ability to run the full ML lifecycle: SQL knowledge sufficient for analytics and basic transformations. Basic familiarity with cloud (AWS/GCP/Azure). Optional Experience with CV or time series forecasting. Basic MLOps (Docker, MLflow, Airflow, DVC). Basic LLM/RAG knowledge. This is how we work at the client's site you focus on a single project at a time scrum Development opportunities we offer assistance in preparation to public speeches conferences in Poland intracompany 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 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 Additional Benefits private medical care life insurance remote work opportunities flexible working time corporate products and services at discounted prices video games at work coffee / tea drinks parking space for employees Recruitment stages Initial Interview (1h) Second interview (1,5h) This role is for you if: You work independently and close projects reliably. You’re not afraid to ask questions or consult when needed. You prefer building models that reach production instead of sitting in “experiments”. You choose pragmatic solutions over unnecessary complexity. 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. “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): . 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 lawlessness 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 #J-18808-Ljbffr