ML engineer - Maps Data Systems — Functional Software

Job Description

In this role, you will design and build machine learning systems and perform data analysis to improve the quality of large-scale geospatial datasets. You will develop both classical machine learning and NLP models to extract structured information, detect anomalies, and measure data quality. You will be involved end-to-end—from experimentation and model development to integration, productionization, and deployment at scale. This role requires a strong combination of data science expertise and solid software engineering skills.

What kind of person are we looking for?

• 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

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

Extra Merit qualifications:

• Experience with Scala or Java

• Knowledge in one or more of the following areas: NLP, information retrieval, datamining

• Experience in statistical modeling and building predictive models

Information

Language Requirements: Fluent English (mandatory), Swedish
Scope: 100%
Location: Malmö, 3 days on site
Start: Immediate
Duration: 6 months, with possible extension

Applying

If you're interested, please use the form below to apply, or contact Felix Arvberger on LinkedIn.