ML engineer - Maps Data Systems

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
• +5 years of work experience
• 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
• Work onsite three days a week

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.