Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
Ratingen, NRW, DE
Live, first seen by us 19 days agoOwn end-to-end the SmartRisk Engine, the group-wide core rating and probability-of-default model
Design, train, calibrate, validate, deploy and improve machine learning models
Monitor model performance and run drift analyses across markets and customer segments
Build and enhance scalable end-to-end ML pipelines with testing, versioning and deployment
Set and drive MLOps standards for CI/CD, monitoring, alerting and incident management
You take end-to-end ownership of the SmartRisk Engine
You design, train, calibrate, validate, deploy, and continuously improve machine learning models
You monitor model performance, conduct drift analyses across markets and customer segments
You build and enhance scalable end-to-end ML pipelines, including testing, versioning, documentation, and production deployment
You establish and drive best-practice MLOps standards, including CI/CD, monitoring, alerting, model registries, data quality controls, and incident management
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 19
Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Ratingen, NRW, DE
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