Machine Learning/Data Scientist

Applied Machine Learning Engineer – 18194

Remote within Sweden

Onsite

Huy Tran

HR Administrator

cv@veritaz.se

Job Summary

Posted Date

June 10, 2026
Work Type

Onsite
Deadline

2026-06-16
Schedule

Full-time
Location

Remote within Sweden

Job Description

Assignment Description

We are seeking a Machine Learning Engineer

What You Will Work On

Develop, train, and optimize machine learning models for production use cases
Build and maintain end-to-end ML pipelines and workflows
Perform feature engineering and exploratory data analysis (EDA)
Deploy machine learning models into production environments
Implement model retraining, calibration, and continuous improvement strategies
Develop predictive models and decision-support systems
Work with model-driven decisioning and optimization approaches
Explore and implement bandit algorithms for dynamic decision-making
Monitor model performance and ensure stability in production systems
Improve existing ML workflows for scalability and robustness
Collaborate with data engineers, software engineers, and business stakeholders
Contribute to development of new ML-powered features and capabilities
Support automation of intelligent decision-making systems
Ensure reproducibility, reliability, and observability of ML systems

What You Bring

Experience in Machine Learning Engineering or Applied Machine Learning
Strong understanding of predictive modeling techniques
Experience with model retraining and lifecycle management
Hands-on experience with production ML systems
Experience in exploratory data analysis (EDA) and feature engineering
Experience with model-driven decisioning systems
Knowledge of TensorFlow or similar ML frameworks
Experience deploying machine learning models into production
Understanding of scalable ML system design and architecture
Ability to collaborate effectively with cross-functional teams

If this sounds interesting, please send your CV to cv@veritaz.se

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