Geospatial ML Engineer - Scalable Data Systems

Functional Software Stockholm AB; Malmö kommun; Hybrid; SEK 600,000 - 900,000; Full time

Job summary

Functional Software Stockholm AB is seeking a data science professional to design and build machine learning systems and perform data analysis to improve large-scale geospatial datasets. You will develop both classical ML and NLP models to extract structured information, detect anomalies, and measure data quality, taking projects from experiments to production.

This role requires strong software engineering skills, collaboration with cross-functional teams, and the ability to deploy models at

Qualifications

• Strong programming skills, with extensive experience in Python
• Proven experience in machine learning and data science (e.g., classification, clustering, feature engineering, anomaly detection, neural networks)
• Experience working with LLMs, including prompting and agent-based workflows
• Solid understanding of classical ML algorithms (e.g., SVM, Random Forest, Naive Bayes, k-NN)
• Experience with ML frameworks and libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas
• Strong analytical thinking and problem-solving skills
• Ability to balance creativity with practical delivery in existing systems
• Excellent written and verbal communication skills
• Proactive, ownership-driven mindset with the ability to adapt and deliver in a fast-paced environment

Responsibilities

• Design, develop, and deploy machine learning models
• Build and maintain scalable data and software solutions
• Apply data science techniques to generate insights and improve data quality
• Own and deliver features and improvements end-to-end
• Collaborate with cross-functional teams to integrate models into production systems

Skills

Python

ML data science

LLMs

PyTorch

TensorFlow

Scikit-learn

NLP

Communication

Ownership

Tools

PyTorch

TensorFlow

Keras

Scikit-learn

NumPy

Pandas

MLflow

Job description

Functional Software Stockholm AB is seeking a data science professional to design and build machine learning systems and perform data analysis to improve large-scale geospatial datasets. You will develop both classical ML and NLP models to extract structured information, detect anomalies, and measure data quality, taking projects from experiments to production.

This role requires strong software engineering skills, collaboration with cross-functional teams, and the ability to deploy models at