Take on fullstack Machine Learning Assignments covering the full spectra from GenAI, developing and training models in production, and building cloud platforms where they can run.
Each assignment is 6–24 months and will give you both broadness and deepness from various industries and companies.
Influence product direction, and fostering a collaborative, high-trust team culture.

4+ years of experience in Machine Learning.
A track-record of building and training ML models in production.
Cloud experience (AWS, GCP, Azure, Docker, Kubernetes).
Experience with commonly used data tools (e.g., Spark, Dask, PySpark, Apache Beam).
Expertise in Python and modern ML/AI libraries (PyTorch/TensorFlow, Transformers, LangChain, LangGraph, Vertex AI).
Strong understanding of ML infrastructure: deployment, monitoring, debugging, optimization.
A degree in Computer Science, Engineering, Mathematics, Statistics, or similar.
Must be based in Sweden with a Swedish citizenship, a valid work visa, temporary or permanent residency.
Fluent in English (spoken and written).

Maximized Compensation. Typically a +40% salary increase.
Freedom & Flexibility . No bosses. All digital. Fully remote for those who prefer.
Employment Security. High salary, pension, insurance, paid vacation and a big educational fund.
Shape the Future. Projects and assignments for digital game changers like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and exciting startups and scaleups.

Machine Learning Engineer

Key skills