Senior MLOps Engineer

Back to all rolesSenior MLOps EngineerApplyJob detailsEngineeringStockholmFull-timekr 775,398 SEK - kr 868,446 SEKAs a Senior Engineer, you will work at the intersection of engineering and data science, building and productionizing machine learning pipelines that power Klarna's credit decisioning. You will take models from development through to production, ensuring pipelines are reliable, scalable, and ready for real-world use. Your day-to-day work will span writing Python to train models, building infrastructure to support the ML pipeline, and deploying models into production using tools such as tree-based models, AWS SageMaker. You will play a key part in scaling Klarna's in-house data science capabilities as we continue to grow our credit risk and fraud offerings.Who you areStrong experience with Python for data science and machine learning developmentHands-on experience productionizing machine learning models and pipelinesPractical experience with tree-based modelsExperience with AWS or comparable cloud infrastructureUnderstanding of MLOps practices for scaling models into productionExperience collaborating with cross-functional teamsWorking proficiency and communication skills in verbal and written EnglishAwesome to haveExperience working in credit risk, fraud, or financial servicesExperience building data pipelines at scale within a larger data science organizationFamiliarity with model monitoring and observability toolsExperience with CI/CD tools for ML deploymentPlease include a CV in EnglishCurious to learn more about Klarna and what it's like to work here? Explore our career site!Upload your resume to autofill the applicationUploadFirst name *Last name *Email *Dial codePhone numberLinkedIn profile *Please upload your resume (preferably as a PDF file) *Click or drag file to uploadSupported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1;Mandatory Are you currently based in the location the job is posted in? *YesNoAre you legally authorised to work in the location where this position is based? *YesNoWill you now or in the future require sponsorship for employment authorization or visa status in the location this position is based? *YesNoAI disclaimerThis application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.I have read and understood the privacy policy and acknowledge that my personal data will be processed as part of this application.ApplyApplyHire withPrivacy Policy