# Machine Learning DevOps Engineer Source: https://realanalystjobs.com/job/machine-learning-devops-engineer-ing-4246041f Machine Learning DevOps Engineer at ING, an on-site role based in Warsaw, Poland. Posted on 12 October 2026, read from ING's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [ING](https://realanalystjobs.com/companies/ing) - Location: Warsaw, Poland - Work mode: On-site - Posted: Oct 12, 2026 - Employment type: Full time - Source: ING's careers page (Workday), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), Azure, Spark, Airflow ## About this role ING Hubs Poland is hiring! The expected salary for: expert position: 13 000 - 28 000 PLN The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We are a dynamic and rapidly growing tech company, seeking a talented Machine Learning DevOps Engineer to join our team. The successful candidate will be responsible for developing platform and implementing fraud detection models within the banking sector. We are looking for you if: • You have experience with cloud platforms: GCP, Azure (DevOps). • You have experience with GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform, containerization. • You are proficient in data & software engineering with a special focus on distributed computing (Spark 3.5+). • You are familiar with 'Clean Coding' paradigms and have programming experience in Python. • You understand ML Ops and have been involved in ML model deployment. • You are familiar with model development frameworks (Scikit-learn, Pandas, NumPy). • You possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively. • You have excellent communication and teamwork skills. You'll get extra points for: • Hands-on experience with code/compute optimization and tuning testing. • Proven capability in handling large data sets for developing fraud detection models. • Master's degree in computer science, statistics, data science or a related field. • Experience with other machine learning frameworks and libraries. • Certifications in relevant fields. • Experience in the banking sector, particularly with fraud detection systems. Your responsibilities: • Code/compute optimizations & (unit) testing. • Scheduling & distributing code on our data analytics platform. • Working with shared model development codebase. • Assist in model development/deployment. • Collaboration with data scientists in squad. • Maintenance. English level: B2 Information about the squad: Are you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection? We employ a wide range of technologies. Our team enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning. Our clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize machine learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment. Our team operates within a Scrum framework, and we're currently seeking an additional ML DevOps Engineer who will enrich our team. The role naming convention in the global ING job architecture will be “Engineer IV” Description from ING's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-devops-engineer-ing-4246041f) and use Apply now there to reach the employer's application. The listing is re-checked against ING's careers page daily and removed when it closes. ## ING 37 open analyst roles on Real Analyst Jobs. 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