Build and deploy production-grade machine learning systems, tools, and infrastructure as a Senior MLOps Engineer.
Requirements
- Degree in Computer Science, Software Engineering, Data Science, or a related field
- 3-6 years of experience in MLOps, DevOps, or machine learning engineering
- Hands-on experience operationalising machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Strong programming skills in Python and a solid understanding of software engineering best practices
- Experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP)
- Familiarity with containerisation and orchestration tools such as Docker and Kubernetes
- Fluent in English; additional local language skills are a plus
Benefits
- Attractive salary package
- Participation in sales success
- Exclusive investment opportunities
- Flexible and hybrid working model
- Regular team events and joint sports sessions
- Attractive company pension scheme
- Access to local fitness and wellness partnerships
- Mobility and meal allowances