Builds the pipelines and platform that take ML models from notebook to production.
Entry
Intermediate
Coding
Very High
Key skills
Career overview
The MLOps Engineer applies DevOps practices to machine learning: CI/CD for models, automated retraining, experiment tracking, model registry, serving and monitoring. They make ML reproducible and reliable. The role leads to ML Platform Engineer, Senior ML Engineer or Platform Engineer positions.
Main responsibilities
- Operationalise ML models in production
- Build and maintain CI/CD pipelines
- Build reliable data ingestion pipelines
- Describe infrastructure as code and version it
- Monitor platform health, alerts and dashboards
- Serve model inference at scale
- Keep technical documentation up to date
- Prepare and execute change requests in production
- Analyse application logs to identify root causes
- Automate recurring tasks with scripts
Technical skills
Technologies
Education level
Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.
High School / Bac
Less common
Bac+2 (2-year degree)
Less common
Bac+3 (Bachelor)
Less common
Bac+5 (Master / Engineering)
Common entry point
Experience & coding level
Experience level
Coding level
Useful certifications
Certifications are never mandatory. They are one way among others to prove a skill.
- AWS Machine Learning Specialty
- Google Professional ML Engineer
- Certified Kubernetes Application Developer (CKAD)
Where can this career take you?
Multiple paths are possible. Click a role to open its profile.
Direct progression
Possible branches
Where can you go next?
Realistic next career moves, with compatibility and a transition roadmap for each.
Overlap: 49% · Difficulty: Medium
Skills to learn: ML platform architecture, Feature stores, Observability
View roadmapOverlap: 50% · Difficulty: Easy
Skills to learn: CI/CD pipelines, Linux, Observability
View roadmapWhere can you go from here?
A typical progression built from real career relationships. Click any role to open its profile.
Soft skills
- Problem solving
- Rigour and attention to detail
- Autonomy
- Clear communication
- Teamwork
- Sense of ownership
Common previous careers
Roles that frequently lead into this career.
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MLOps EngineerML Platform Engineer
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