Machine Learning Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on AI/ML Solutions within the IT Services domain. Key technologies include Python, Docker, Kubernetes, Google Cloud, Azure, Apache Airflow, Kubeflow and tools for DevOps/MLOps, ETL, RESTful APIs. Responsibilities cover designing and automating DevOps/MLOps pipelines, building and deploying end-to-end AI products, model monitoring, and collaborating with Data Scientists and Product Owners. The offered rate is 140 – 160 PLN net/h on B2B. Benefits include private medical care, Multisport card, life insurance, and flexible working hours.

newyou can start ASAP

Machine Learning Engineer

Company: Cyclad

from: 15 July 2026
to: 14 August 2026
140 - 160net (+ VAT)/ hr.B2B contract (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:hybrid
location:Warszawa, Masovian
Warszawa, Masovian

Requirements

Expected technologies

Python
Kubernetes
Apache Airflow
Docker
Git
Machine Learning
Azure Cloud
Google Cloud Platform
MLOps

Optional technologies

Flink
Spark
Kafka
Hadoop

Operating system

Linux

Our requirements

  • A bachelor's or master’s degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience
  • Experience of working with large data sets, coming from varied sources
  • Excellent Programming Skills in Python
  • Experience with containerization (Docker) and container orchestration using Kubernetes
  • Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred)
  • Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
  • Experience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similar
  • Proficiency with DevOps practices, including CI/CD, Git-based workflows
  • Comfortable working in Unix/Linux environments
  • Hands on experience of designing, building, and supporting RESTful APIs
  • Working knowledge of machine learning and deep learning concepts, and experience supporting model deployment and monitoring
  • Very good English skills

Optional

  • Understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch
  • Understanding of key Machine Learning & Deep Learning Algorithms
  • Knowledge of Oilfield terminology and business practices
  • Experience with IoT/ Edge technology
  • Recognized open-source contributions
  • Familiarity with data engineering tools (Flink/Spark/Kafka etc.)
  • Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores

Your responsibilities

  • Script production-ready codes
  • Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads
  • Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud
  • Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions
  • Design and implement data engineering pipelines (ETL)
  • Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time
  • Conduct internal workshops and external meetups, participate in external conferences, and give talks
  • Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed
  • Collaborate with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products

About the project

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced a Machine Learning Engineer, who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company. The role will require working knowledge of Cloud, DevOps/ MLOps, Machine Learning, Deep Learning and Application Development. This position will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems.
Project information:
Type of project: IT Services
Office location: Warsaw
Budget: 140 – 160 PLN net/h on b2b
Work model: Hybrid (2 days/week in the office)
Project length: Long-term
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP (depending on candidate’s availability)

This is how we organize our work

This is how we work

at the client's siteyou focus on a single project at a timeyou have influence on the choice of tools and technologiesyou have influence on the technological solutions appliedyou develop the code "from scratch"you focus on product developmentagilescrum

This is how we work on a project

  • Clean Code
  • code review
  • Continuous Deployment
  • Continuous Integration
  • DevOps
  • documentation
  • issue tracking tools
Company

What we offer

  • Hybrid working model (2 days/week in the office in Warsaw)
  • Collaboration with senior engineers and cross-functional AI teams
  • Dynamic and innovation-driven engineering environment
  • Full-time job agreement based on b2b
  • Private medical care with dental care (covering 70% of costs)
  • Multisport card (also for an accompanying person)
  • Life insurance

Development opportunities we offer

  • intracompany training
  • mentoring
  • substantive support from technological leaders
  • technical knowledge exchange within the company

Benefits

  • sharing the costs of sports activities
  • private medical care
  • life insurance
  • flexible working time
  • dental care
  • no dress code
  • employee referral program

Recruitment stages

  • 1.
    Introductory call
  • 2.
    Technical
  • 3.
    Project interview
  • 4.
    Final decision

Cyclad

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future.

This is how we work

Machine Learning Engineer
140–160 zł / hr. (B2B)
I apply to:
Cyclad
Warszawa, Masovian
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