Machine Learning Engineer

Elektro; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading machine learning company is looking for an ML Engineer to manage data work, model implementation, and deployment in a remote-only environment. Candidates should have experience with ML projects and strong skills in deep learning frameworks like PyTorch or TensorFlow. Responsibilities include data preparation and integration of models into client systems, focusing on real production use. The company offers flexible working hours, growth review, and support for health and well-being.

Benefits

Work-life balance

Reimbursed private medical care

Leader’s support

Growth review

Workation opportunities

Life insurance

Flexible working time

Discounted corporate products

Coffee / tea

Drinks

Parking space for employees

Qualifications

• At least one commercially deployed ML project.
• Strong knowledge of at least one DL framework such as PyTorch or TensorFlow.
• Ability to run the full ML lifecycle.
• SQL knowledge sufficient for analytics and basic transformations.
• Basic familiarity with cloud services like AWS, GCP or Azure.

Responsibilities

• Prepare and analyze data for ML projects.
• Implement ML models as APIs and integrate with client systems.
• Participate in vision computing, predictive maintenance, and time series projects.
• Conduct research as needed; focus primarily on delivery.

Skills

Machine Learning

Deep Learning (PyTorch, TensorFlow)

SQL

Cloud Platforms (AWS/GCP/Azure)

Tools

Docker

MLflow

Airflow

Job description

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.

• 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 organize our 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
• 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

• 1. Initial Interview (1h)
• 2. 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]: 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.