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