Arbetsbeskrivning

Machine Learning Engineer

Leapit Consulting - Malmö, Sweden

About the role

Leapit is looking for experienced Machine Learning Engineers to join our growing engineering team in Sweden. We work with leading international companies across technology, finance, telecom, automotive, retail, and digital products.

As a Machine Learning Engineer, you will design, build, and deploy machine learning solutions that solve real business problems at scale. You will work end-to-end, from data exploration and experimentation to model development, production deployment, and continuous improvement.

You will collaborate closely with software engineers, data engineers, product teams, and business stakeholders to transform large and complex datasets into intelligent, production-ready solutions.

This role is ideal for engineers who combine strong data science skills with solid software engineering practices and enjoy working in modern, fast-moving development environments.

Responsibilities

• Design, develop, and deploy machine learning models for production systems
• Build scalable data pipelines and software solutions for large datasets
• Perform data analysis, feature engineering, and model evaluation
• Develop predictive models, anomaly detection systems, classification models, and NLP solutions
• Work with LLMs, prompting techniques, and agent-based workflows
• Integrate machine learning models into existing applications and cloud platforms
• Optimize model performance, scalability, and reliability
• Own technical deliveries from experimentation to production
• Collaborate with cross-functional teams including engineering, product, and business stakeholders
• Contribute to architecture, technical documentation, and best practices

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field
• 5+ years of software engineering or machine learning experience
• Strong programming skills in Python
• Proven experience in machine learning and data science
• Experience with supervised and unsupervised learning methods
• Experience working with LLMs and modern AI workflows
• Strong knowledge of machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, NumPy, and Pandas
• Experience building and deploying production-grade machine learning systems
• Strong analytical and problem-solving skills
• Excellent communication skills in English