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MLOps Engineer (CX)

Warsaw, Masovian Voivodeship, Poland

Pay
Salary not listed in the saved posting
Work setup
Hybrid stated — work setup source
Additional Information Location: Hybrid in Warsaw; Long-term cooperation (2+ years);
Read the full posting
Employment
Unconfirmed
Apply at Act Digital

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience after completing higher education.
Qualification wording
5+ years of experience after completing higher education.

Tools in this posting

  • Python
  • AWS
  • Azure
  • Docker
  • Google Cloud (GCP)
  • Kubernetes
  • MLflow
  • SageMaker
  • Spark
  • Fastapi
  • Flask
  • PyTorch
  • NumPy
  • scikit-learn
Source — Tool mentions in context
- 5+ years of experience after completing higher education. - Advanced Python Programming: Production Python experience with web frameworks (FastAPI, Flask), testing frameworks, - Cloud Computing Expertise: Hands-on experience with major cloud platforms (AWS, GCP, or Azure), including Kubernetes services (EKS/GKE/AKS).
- Advanced Python Programming: Production Python experience with web frameworks (FastAPI, Flask), testing frameworks, - Cloud Computing Expertise: Hands-on experience with major cloud platforms (AWS, GCP, or Azure), including Kubernetes services (EKS/GKE/AKS). - Research Team Collaboration: Experience working with data science or research teams, effectively translating experimental code into production systems.
- Production ML Pipeline Development: Design, build, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring. - ML Infrastructure: Experience with MLOps tools (MLflow, Kubeflow), container technologies (Docker, Kubernetes), inference engines (vLLM, SGLang), distributed computing (Ray.io), and data labeling platforms (Label Studio). - Managed ML services (SageMaker, Vertex AI.
- ML Infrastructure: Experience with MLOps tools (MLflow, Kubeflow), container technologies (Docker, Kubernetes), inference engines (vLLM, SGLang), distributed computing (Ray.io), and data labeling platforms (Label Studio). - Managed ML services (SageMaker, Vertex AI. Additional Information
- Software Engineering: Strong foundation in version control, testing strategies, software architecture principles, async programming, and concurrent system design. - Data Infrastructure: Design and implement scalable data infrastructure solutions leveraging distributed computing frameworks like Apache Spark or similar for large-scale data processing. Build and optimize data lake architectures to support analytics, ensuring high performance, reliability, and data governance across large datasets. - ML experience not required, but you should know why you want to work in this field.
Nice to have - ML libraries (PyTorch, scikit-learn, numpy). - Production ML Pipeline Development: Design, build, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring.

Benefits in the posting

Full benefits wording
  • Bonus for recommending Candidates from 6 000 to 10 000 PLN.
  • Fully paid Medicover healthcare card.
  • Wellbee platform access
  • Company Description

From the employer’s posting.

Job description

View original posting ↗

Job Description

  • Infrastructure Management: Architect and manage scalable cloud infrastructure workloads, including container orchestration and automated testing.
  • Research Collaboration: Partner closely with data scientists and research teams to translate experimental models into robust, production-ready systems.
  • DevOps Best Practices: Establish infrastructure as code, CI/CD pipelines, automated deployments, and comprehensive logging/monitoring.

Qualifications

  • 5+ years of experience after completing higher education.
  • Advanced Python Programming: Production Python experience with web frameworks (FastAPI, Flask), testing frameworks,
  • Cloud Computing Expertise: Hands-on experience with major cloud platforms (AWS, GCP, or Azure), including Kubernetes services (EKS/GKE/AKS).
  • Research Team Collaboration: Experience working with data science or research teams, effectively translating experimental code into production systems.
  • Software Engineering: Strong foundation in version control, testing strategies, software architecture principles, async programming, and concurrent system design.
  • Data Infrastructure: Design and implement scalable data infrastructure solutions leveraging distributed computing frameworks like Apache Spark or similar for large-scale data processing. Build and optimize data lake architectures to support analytics, ensuring high performance, reliability, and data governance across large datasets.
  • ML experience not required, but you should know why you want to work in this field.
  • English min B2.

 

Nice to have

  • ML libraries (PyTorch, scikit-learn, numpy).
  • Production ML Pipeline Development: Design, build, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring.
  • ML Infrastructure: Experience with MLOps tools (MLflow, Kubeflow), container technologies (Docker, Kubernetes), inference engines (vLLM, SGLang), distributed computing (Ray.io), and data labeling platforms (Label Studio).
  • Managed ML services (SageMaker, Vertex AI.

Additional Information

  • Location: Hybrid in Warsaw; 
  • Long-term cooperation (2+ years);
  • Type of contract: B2B; 
  • Rate: 250 PLN/H net + VAT

What we offer

  • Access to local and international projects - Clients from France, Germany, Portugal, UK and Benelux.
  • Professional development support -trainings, technical certificates, conference participation, foreign language classes and soft skills trainings are subsidized up to 2 000 PLN.
  • Bonus for recommending Candidates from 6 000 to 10 000 PLN.
  • Fully paid Medicover healthcare card.
  • Wellbee platform access
  • Multisport card.
  • Regular integration events and gifts.
  • Mobility Program.
  • Long term cooperation.

If You applied for this position the Controller of your personal will be  ACT DIGITAL POLSKA Sp. z o.o., with its registered office at Przyokopowa 31, 01-208 Warsaw. The personal data provided by you will be processed for the purpose of the recruitment process and for future recruitment processes. You will have the right too choose one or both options on next page.

You have the right to access the content of your data, request their rectification, erasure, restriction of processing, the right to data portability, the right to object to the processing of your data and the right to lodge a complaint to the President of the Personal Data Protection Office.

Company Description

Our mission as a company providing IT services is to provide our clients all over the world with the best solutions. We manage to do this by analyzing the needs of our clients and matching them to the skills and aspirations of our employees. Therefore, one of our main motivations is to provide each Employee and Consultant with a satisfying experience. Joining us means being part of a community with diverse personalities. Start your adventure with act digital Polska!

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

Warsaw, Masovian Voivodeship, Poland

Additional Information - Location: Hybrid in Warsaw; - Long-term cooperation (2+ years);
Work authorization

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Status in our records
Active
First seen by us
May 14, 2026
Recorded sightings
327
Last seen by us
Oct 7, 2026
Employer says posted
Sep 17, 2025

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