Machine Learning Engineer

Salary Unpaid
Equity 5%
MLOps are creating a new intuitive way for Machine learning practitioners and software engineers to discover, build and deploy ML at scale.

MLOps are developing a state of the art platform for Data Scientists, Data Engineers, Machine Learning Engineers and Software Engineers to experiment, build and deploy ML models at scale using AWS. We provide our users with all the best practices of software engineering into the domain of data science, meaning we aim to incorporate data/model versioning, collaboration, monitoring etc. in an intuitive way that allows our users to prosper within the field.

As an ML Engineer in the MLOps team you will be a key stakeholder and owning a lot of responsibility in developing the backend on AWS to deliver world class practices within data engineering and machine learning modelling.

We utilize AWS Glue (Spark) and Sagemaker (TensorFlow, PyTorch, Scikit etc.) in combination with many other AWS services to deliver a SaaS product world wide to our customers accounts.

Experience with all frameworks and services are not necessary, but a clear understanding of distributed computing and machine learning is necessary, as well as knowing how to architect solutions on AWS overall.

For more information or questions please contact us at or phone number 0761661018

Perks and benefits

This job comes with several perks and benefits

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Equity package
Equity package

Want to be a partner? Look no further.

Free friday beers
Free friday beers

Friday is something special, let's enjoy a beer together.

See all 14 benefits

Working at

MLOps is your one-stop-shop to create Machine Learning models on AWS. We provide our users with an opinionated pipeline solution that allows Data Scientists, Data Engineers and Machine Learning Engineers to go all the way from data discovery to production using tools like PySpark, TensorFlow and similar frameworks. We take pride in engineering and are not giving any drag-and-drop solutions. Instead we focus on code, versioning of datasets, models and production endpoints to allow teams to collaborate, experiment and scale their business around ML in an intuitive way. Simply put, with MLOps you can go from idea to production in minutes instead of months. All while resting assured that there is complete traceability and coverage over time.

Read more about MLOps

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