Machine Learning Engineer

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