MLOps Engineer
Cologne, NRW, Germany
- Pay
- Salary not listed in the saved posting
- Work setup
Remote — work setup source
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingWe are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production.
Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices.
Build and operate containerized services on Kubernetes
Troubleshoot production issues and improve ML/AI service reliability and cost
Write tested Python code for production services and internal tooling
Build and improve CI/CD pipelines for ML/AI services
Implement data and model versioning, validation, and observability
From the employer’s posting
We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production. You will work at the intersection of data science and software engineering, helping to turn models into secure, maintainable, and reliable production services. You’ll collaborate with data scientists and engineers in cross-functional product teams and contribute to the continuous improvement of our MLOps practices and platform.
Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices.
Build and operate containerized services using orchestration platforms such as Kubernetes.
Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services.
Develop maintainable and well-tested Python code for production services, automation, and internal tooling.
Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration.
Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle.
What you’ll bring
All qualificationsCore experience
- Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production.
- Hands-on experience with Docker and container orchestration platforms such as Kubernetes.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome.
Qualification wording
Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production.
Hands-on experience with Docker and container orchestration platforms such as Kubernetes.
Experience with CI/CD tools such as GitHub Actions or Jenkins.
Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome.
Tools in this posting
- Python
- Docker
- Kubernetes
- MLflow
Source — Tool mentions in context
We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production. You will work at the intersection of data science and software engineering, helping to turn models into secure, maintainable, and reliable production services. You’ll collaborate with data scientists and engineers in cross-functional product teams and contribute to the continuous improvement of our MLOps practices and platform. Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices. About your tasks:
- Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services. - Develop maintainable and well-tested Python code for production services, automation, and internal tooling. - Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration.
- Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production. - Solid software engineering skills in Python, including automated testing, version control, and code review. - Hands-on experience with Docker and container orchestration platforms such as Kubernetes.
- Solid software engineering skills in Python, including automated testing, version control, and code review. - Hands-on experience with Docker and container orchestration platforms such as Kubernetes. - Experience with CI/CD tools such as GitHub Actions or Jenkins.
About your tasks: - Build and operate containerized services using orchestration platforms such as Kubernetes. - Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services.
- Experience with CI/CD tools such as GitHub Actions or Jenkins. - Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome. - A solid understanding of software architecture and secure software development and delivery practices.
About Redcare Pharmacy
That's why we provide our employees with a fully funded Deutschlandticket, which you can use at any time.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 2d ago
- Recorded sightings
- 5
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Job Description
About the Role:
We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production. You will work at the intersection of data science and software engineering, helping to turn models into secure, maintainable, and reliable production services. You’ll collaborate with data scientists and engineers in cross-functional product teams and contribute to the continuous improvement of our MLOps practices and platform.
Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices.
About your tasks:
- Build and operate containerized services using orchestration platforms such as Kubernetes.
- Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services.
- Develop maintainable and well-tested Python code for production services, automation, and internal tooling.
- Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration.
- Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle.
- Contribute to technical designs and architecture decisions, and participate in code reviews.
- Integrate automated security checks into delivery pipelines and follow secure development and operations practices.
Qualifications
About you:
- Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production.
- Solid software engineering skills in Python, including automated testing, version control, and code review.
- Hands-on experience with Docker and container orchestration platforms such as Kubernetes.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome.
- A solid understanding of software architecture and secure software development and delivery practices.
Additional Information
About your Benefits:
In order to provide our employees with the best possible support for their individual needs, we offer a variety of attractive benefits:
Work from Home: If your job doesn't require you to be in the office, you can be flexible about where you work – even up to 20 days a year from anywhere within the EU.
Redcare Events: We promote team cohesion through creative team events and celebrate our joint successes at regular events.
Mental Health: If you feel overwhelmed privately or professionally, you can get professional support from a psychologist quickly and easily via nilo - anonymously and free of charge.
Personal development: We are all constantly learning. That's why we support and promote your professional development through internal and external training opportunities and help you to develop further.
Mobility: Your commute to work is important to us. That's why we provide our employees with a fully funded Deutschlandticket, which you can use at any time.
Sport & Health: Your well-being is our top priority. That's why we offer you various ways to do something for your health. Benefit from an M membership of the Urban Sports Club and take advantage of a wide range of sports to suit your interests.
Company Description
About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.
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- Pay
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- Location & working pattern
Cologne, NRW, Germany
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