Machine Learning Engineer / Data Scientist – Geospatial Data

- Relocation to Malmö is required for the duration of the project - We are looking for an experienced Machine Learning Engineer / Data Scientist to join a long-term project focused on improving the quality, accuracy, and reliability of large-scale geospatial datasets. - In this role, you will design and develop machine learning systems, perform advanced data analysis, and build solutions for extracting structured information, detecting anomalies, and measuring data quality. - You will work across the entire ML lifecycle — from experimentation and model development through integration and productionization to deployment at scale. The position combines machine learning and data science expertise with strong software engineering skills. - The project offers an opportunity to work on complex, data-intensive challenges and contribute to solutions that operate on large-scale datasets. ## This is how we work - at the client's site ## Your responsibilities - Design, develop, test, and deploy machine learning models - Develop solutions for large-scale geospatial data processing and quality improvement - Apply machine learning and data science techniques to identify patterns, generate insights, and detect anomalies - Perform feature engineering and develop predictive and classification models - Work with NLP and LLM-based solutions to extract and structure information from data - Design and implement prompting strategies and agent-based workflows - Build and maintain scalable data processing and software solutions - Take ownership of ML features and improvements throughout the entire development lifecycle - Integrate machine learning models into existing production systems - Support model productionization, deployment, monitoring, and further improvement - Collaborate with data scientists, software engineers, and other cross-functional stakeholders - Balance experimentation and innovation with practical implementation within existing systems - Strong programming skills, with extensive commercial experience in Python - Proven professional experience in Machine Learning and Data Science - Experience with ML and data science libraries/frameworks, including PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas - Strong analytical and problem-solving skills - Experience taking ML solutions from experimentation to production - Ability to work effectively with existing software and data systems - Strong ownership mindset and ability to independently drive tasks to completion - Good written and verbal communication skills - Ability to work effectively in a fast-paced, collaborative environment - Willingness to relocate to Malmö, Sweden for the duration of the project and be available for occasional on-site work - Hands-on experience with ML techniques such as: classification clustering feature engineering anomaly detection neural networks - Solid understanding of classical machine learning algorithms, such as: Support Vector Machines (SVM) Random Forest Naive Bayes k-Nearest Neighbors (k-NN) ## Optional - Commercial experience with Scala or Java - Knowledge of Natural Language Processing (NLP) - Experience with Information Retrieval - Experience in Data Mining - Background in statistical modelling - Experience building predictive models - Experience working with large-scale or geospatial datasets ## SQUARE ONE RESOURCES sp. z o.o. - At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.