ML Engineer

Professional Galaxy AB Malmö, Skåne lan, Sweden Publicerat 2 juni 2026
permanentonsitesenior
<p><span><strong>Professional Galaxy</strong> is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.</span></p><p class="MsoNormal"><span>We are now seeking an <strong>ML Engineer </strong>for one of our clients.</span></p><p class="MsoNormal"><span><strong>About the assignment:</strong></span></p><p class="MsoNormal"><span>ML engineer - Maps Data Systems<br><br>Description<br>In this role, you will design and build machine learning systems and perform data analysis to improve the quality of large-scale geospatial datasets. You will develop both classical machine learning and NLP models to extract structured information, detect anomalies, and measure data quality.<br>You will be involved end-to-end—from experimentation and model development to integration, productionization, and deployment at scale. This role requires a strong combination of data science expertise and solid software engineering skills.<br><br>Responsibilities<br>Design, develop, and deploy machine learning models<br>Build and maintain scalable data and software solutions<br>Apply data science techniques to generate insights and improve data quality<br>Own and deliver features and improvements end-to-end<br>Collaborate with cross-functional teams to integrate models into production systems<br><br>Must-have Qualifications<br>Strong programming skills, with extensive experience in Python<br>Proven experience in machine learning and data science (e.g., classification, clustering, feature engineering, anomaly detection, neural networks)<br>Experience working with LLMs, including prompting and agent-based workflows<br>Solid understanding of classical ML algorithms (e.g., SVM, Random Forest, Naive Bayes, k-NN)<br>Experience with ML frameworks and libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas<br>Strong analytical thinking and problem-solving skills<br>Ability to balance creativity with practical delivery in existing systems<br>Excellent written and verbal communication skills<br>Proactive, ownership-driven mindset with the ability to adapt and deliver in a fast-paced environment<br><br>Extra Merit Qualifications<br>Experience with Scala or Java<br>Knowledge in one or more of the following areas: NLP, information retrieval, data mining<br>Experience in statistical modeling and building predictive models<br></span></p><p class="MsoNormal"><span><strong>Additional information</strong><br><br><strong>Assignment start:</strong> 2026-06-30</span></p><p class="MsoNormal"><span><strong>Remote work: </strong>No</span></p><p class="MsoNormal"><span><strong>Assignment duration:</strong> 1 year</span></p><p class="MsoNormal"><span><strong>Geographical region:</strong> SwedenSkåne län, Malmö (MALMÖ)</span></p><p class="MsoNormal"><span><strong>Reply no later than:</strong> 2026-06-30</span></p><p class="MsoNormal"><span>Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.</span></p><p class="MsoNormal"><span>Please apply directly through our system with:</span></p><p class="MsoNormal"><span>- Your updated CV in english</span></p><p class="MsoNormal"><span>- Availability to start the assignment</span></p><p class="MsoNormal"><span>In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.</span></p><p class="MsoNormal"><span><strong>Please note:</strong> We do not accept any applications through mail. All applications have to be sent through the portal to be valid.</span></p><p class="MsoNormal"><span><strong>Offer continuously:</strong> Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.</span></p><p class="MsoNormal"></p>

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