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.


We are looking for Frontend developers to help us maximize the experience of our users with intuitive workflows that makes our product the best platform possible for working with colleagues on a highly iterative engineering environment.

As a Frontend developer at MLOps you will work closely with our customers as well as our founder team and you will be a key stakeholder in taking our platform to the next level.

We are working exclusively with React+TypeScript with a backend using GraphQL. So to prosper at this job, you need to be self-going and have experience in building and delivering web apps that scale.

You will join MLOps in a very early stage, and become part of the founding team, thus getting shares in the company as well as salary.

For more information or questions please contact us at petter@mlops.cloud 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

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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