Machine learning Engineer

Mindified AB; Malmö; On-site; SEK 437,924 - 656,886; Full time

Job summary

A modern AI consultancy firm in Malmö is seeking a Machine Learning Engineer to work on diverse ML projects. The ideal candidate will have strong Python skills, experience with ML frameworks, and proficiency in both Swedish and English. This role offers the chance to impact production environments and collaborate with various clients, providing a high degree of autonomy and flexibility within the team.

Qualifications

• Experience in developing machine learning workflows from experimentation to deployment.
• Ability to work in a collaborative and independent environment.
• Comfortable communicating with both technical and non-technical team members.

Responsibilities

• Analyze customer needs and translate them into machine learning system requirements.
• Design tailored machine learning system architectures for projects.
• Train, fine-tune, and evaluate machine learning models.
• Productionize machine learning models including API development.
• Design and optimize data pipelines for training and inference.
• Collaborate closely with clients and internal teams.

Skills

Python

Machine Learning frameworks (PyTorch, Scikit-learn, transformers)

Cloud environments (GCP, AWS, Azure)

Software engineering practices

Large language models (LLMs)

Communication of technical concepts

Professional proficiency in Swedish

Professional proficiency in English

Education

MSc or equivalent in a quantitative field

Job description

About the Role

We’re looking for a Machine Learning Engineer to join our growing Malmö team. In this consulting role, you’ll work hands-on with machine learning projects for a wide range of clients across industries. Some projects involve training custom models from scratch, others focus on integrating state-of-the-art models into real-world applications.

This role is ideal for someone who thrives in both collaborative and independent settings. We value self-starters who take initiative, enjoy solving open-ended problems, and want to see their work make an impact in production environments.

Responsibilities

Your work would include:

• Analyze customer needs and translate them into technical ML system requirements
• Design machine learning system architectures tailored to each project
• Train, fine-tune, and evaluate ML models, including LLMs and other foundation models
• Productionize ML models, including API development and deployment
• Design and optimize data pipelines for training, inference and monitoring
• Collaborate closely with clients and internal teams to ensure project success
• Stay up to date with developments in the ML ecosystem and contribute to internal knowledge sharing

Background and Skills

We’re open to a wide range of backgrounds but here’s what we’re looking for in an ideal candidate:

• Experience developing in Python, including ML frameworks like PyTorch, Scikit-learn and transformers
• Understanding of ML workflows, from experimentation to deployment
• Comfortable working in cloud environments (e.g., GCP, AWS, Azure)
• Practical experience in software engineering, including version control, testing, and CI/CD
• Experience with large language models (LLMs) and familiarity with building LLM-based applications
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• MSc or equivalent experience in a quantitative field – formal education is a plus, not a must
• Professional proficiency in Swedish and English
• Permission to work in Sweden, we will not sponsor any work visas at this time

About Us

We are a modern AI consultancy firm originally founded in Malmö, Sweden. We’re building a small but ambitious team of machine learning and software engineers.

At our Malmö office, you’ll find a high degree of autonomy, flexibility, and influence. We want your voice not only in code reviews and architecture discussions, but in shaping what our company becomes – from the types of clients we work with to how we grow our local presence.

PS If you have any questions, you can reach us at the same address. DS