Machine Learning Engineer

Salary: 5462–7200 SEK/MD on B2B Remote: Hybrid (3 days/week in Malmö office). Commuting possible for the first 3 months; relocation to Sweden required afterwards. Why choose this offer?

Opportunity to work on globally used web and developer platforms Direct impact on frontend architecture, APIs, and developer-facing solutions Collaboration with international , cross-functional engineering and product teams Work on large-scale mapping and location-based technologies used worldwide Project The project focuses on developing machine learning solutions to improve the quality, accuracy, and reliability of large-scale geospatial datasets. It involves building and deploying classical ML and NLP models to extract structured information, detect anomalies, and identify data quality issues. The work covers the entire ML lifecycle, from experimentation and model development to productionization and large-scale deployment.

The goal is to deliver scalable, data-driven solutions that enhance geospatial data processing and analysis.

you'll have Design, develop, and deploy machine learning models. Build and maintain scalable data and software solutions. Apply data science techniques to analyse datasets, generate insights, and improve data quality.

Develop ML and NLP solutions for information extraction, anomaly detection, and data validation. Work with LLMs, including prompt engineering and agent-based workflows. Take ownership of features and improvements throughout the entir