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Machine Learning Engineer

Machine Learning Engineer

Amsterdam, Permanent

Orange Quarter are currently working with a boutique data consultancy based in Amsterdam. As a business, they focus on providing end-to-end solutions to businesses in need of true specialists! Working with major public and private organisations in energy, transport and telco to name a few, helping them get their data science solutions into production, adding value long-term to their partners.

Unlike other consultancies, you are fully in charge of your own career progression and development. This autonomy means that you choose your own projects and pick the tasks you enjoy whilst working with some of the NL best companies.


icon-consultancyCreated with Sketch. Consultancy

What to expect:

You will be proactively facilitating the deployment into production of data models for data science teams building ML solutions across industries from transport to energy.

This role will suit a proactive self-starter, who is not afraid to suggest solutions and try new tech to get the job done. You will join a team of five other SWEs and ML Engineers. There is a customer-facing element to the role as the majority of projects will involve you going out to the client site and representing the business. Communication skills are quite key for this part of the role.

As this is a startup, you will have the ability to shape the growth of the business – in terms of culture, tech and team building.


  • An organisation with a truly flat structure and the ability to help determine the direction/shape of the business
  • Access to the best training in the form of meetups, training, hackathons and conferences within the data community
  • Very generous package including car allowance, training budget, pension and flexible working
  • Full autonomy: you choose the projects you want to work on
  • Modern workspace in Amsterdam and team days in-house


  • 4 years + experience with Python
  • Experience with designing and building Data Pipelines using tools like Airflow/Kafka/Spark
  • Experience with deploying Machine Learning models into production
  • MLOps tooling (think Kubeflow, MLflow) and DevOps best practices (CI/CD, Kubernetes, Docker, Jenkins)
  • Familiarity with various cloud environments (AWS/Azure/GCP)
  • Solid communications skills - knowledge of Dutch is a plus

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn