Machine Learning Engineer / Data Scientist

Malmö; Malmö kommun; On-site; SEK 50,000 - 70,000; Full time

Job summary

Malmö is seeking an experienced Machine Learning Engineer or Data Scientist to join their team on a 100% onsite basis. The ideal candidate will develop and deploy machine learning models, automate data analysis, and generate valuable business insights.

Required qualifications include strong programming skills in Python, solid experience in Machine Learning and Data Science, as well as experience with LLMs and frameworks like PyTorch and TensorFlow. The role promises an engaging opportunity to drive business growth through data-driven solutions.

Qualifications

• 5+ years of experience as a system developer/programmer.
• Solid understanding of supervised and unsupervised machine learning algorithms.
• Experience building scalable production-ready ML solutions.

Responsibilities

• Design, develop, and deploy machine learning models.
• Build scalable data pipelines and software solutions.
• Analyze large datasets to improve quality and generate actionable insights.
• Integrate machine learning models into production systems.

Skills

Programming in Python

Machine Learning

Data Science

Experience with LLMs

Problem-Solving

Excellent English Communication

Education

Post-secondary education in Data

Tools

PyTorch

TensorFlow

Scikit-learn

Keras

Pandas

NumPy

Job description

2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers to re-engineer, digitalize, manage and operate their most essential product development, advancing the ways of working that improve customer experiences, heighten efficiency and lower operating costs to deliver clear outcomes and topline growth. We have the pleasure to work with many varying companies across a couple of industries.

Our highest priority is to create best customer experience by working across different skill sets, technologies and locations as a cohesive team with our customers delivering digital solutions that drive their business growth and increase operating efficiency.

NOTE its 100% Onsite in Malmö, with start date ASAP.

Are you passionate about applying machine learning to solve real-world problems at scale?

We are looking for an experienced Machine Learning Engineer or Data Scientist to develop intelligent solutions that improve data quality, automate analysis, and generate valuable business insights.

You will work across the full machine learning lifecycle—from experimentation and model development to production deployment and continuous improvement.

Responsibilities

• Design, develop, and deploy machine learning models.
• Build scalable data pipelines and software solutions.
• Analyze large datasets to improve quality and generate actionable insights.
• Develop and optimize NLP and machine learning solutions.
• Integrate machine learning models into production systems.
• Collaborate with software engineers, data engineers, and domain experts.
• Take ownership of features throughout the entire development lifecycle.

Required Qualifications

• Strong programming skills in Python.
• Solid experience in Machine Learning and Data Science.
• Experience with LLMs, prompt engineering, and agent-based AI solutions.
• Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, and NumPy.
• Strong understanding of supervised and unsupervised machine learning algorithms.
• Experience building scalable production-ready ML solutions.
• Strong analytical and problem-solving skills.
• Excellent communication skills in English.

Meritorious

• Experience with Java or Scala.
• Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics.
• Experience building statistical or predictive models.

Personal Profile

• You are curious, analytical, and motivated by solving challenging problems with data. You enjoy working collaboratively, taking ownership, and turning research into production-ready solutions that create real business value.

Krav

• Systemutvecklare/Programmerare - 5 års erfarenhet eller mer

Utbildning

• Eftergymnasial utbildning två år eller längre inom Data
• Engelska