Machine Learning Engineer

Job DescriptionAt Vattenfall, we don’t just “do energy”, we exist to help our customers power their lives in ever smarter, more climate-friendly ways and to enable a fossil-free future. If you’re looking for meaningful challenges and the opportunity to shape this transformation, join our diverse and talented team and make a real differenceWithin Business Area Markets, business decisions are made around the clock and at high frequency, creating vast opportunities for intelligent automation and data-driven innovation.As our new Machine Learning Engineer in the Data Science team in either Hamburg or Stockholm, you’ll join a collaborative and skilled group that turns real business cases into value through data and ML-based intelligence. Working in a Scrum setup, the team has successfully developed forecasting models for electricity prices and electricity consumption. In our team your work will have a direct and measurable impact.What You Will DoBuild and manage MLOps pipelines using Azure ML, MLflow, and modern CI/CD toolsEnhance ML architecture for seamless deployment, retraining, and monitoringDevelop and operate real-time inference servicesEnsure feature parity between offline training and real-time inferenceImplement monitoring and observability for model performance, drift, and latency, e.g. with Prometheus, GrafanaSupport automation of trading and asset optimization through robust forecasting models and infrastructure-as-code practices.QualificationsWhat You BringProven experience productionizing ML models, with strong Python skillsSolid understanding of MLOps frameworks such as MLflow, Kubeflow, SageMaker, Azure MLHands-on experience with Docker and KubernetesExperience building CI/CD pipelines for ML systemsFamiliarity with monitoring and observability toolsExperience with time-series modeling or forecasting is a plusStrong understanding of model lifecycle challenges like drift, retraining, reproducibilityDegree in Computer Science, Engineering, Data Science, or a related fieldExcellent collaboration and communication skills in cross-functional teamsFluency in English. A good command of German or Swedish will be beneficial. Why Join UsWork in a mission-driven environment where your code directly influences real-time trading outcomesBe part of a modern tech ecosystem (Azure, Databricks, Kafka, Kubernetes)Enjoy a strong work-life balance and a supportive culture within an organization rich in expertise across math, tech, and energy.Additional InformationLocation: Hamburg or StockhomWe welcome your application in English, no later than 30 November 2025. We kindly request that you do not send applications by any means other than via our website.For more information about the position please contact Hiring Manager Erik Svensson, erik.svensson@vattenfall.com. For information regarding the recruitment process you are welcome to contact Recruiter Peter Blixter, +46 722 37 32 02. At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation.The trade union representatives in Sweden can be reached via Vattenfall´s switchboard +46 8 739 50 00. Sven-Gunnar Gremlin, Akademikerna and Anders Bohlin, Unionen.Working at Vattenfall means working with critical societal infrastructure. Therefore, many of our positions are security classified, and you may be assigned a wartime placement. If this position is security classified, a security clearance will be carried out before employment, in accordance with the Security Protection Act. Any potential wartime placement is based on the employment contract and the Swedish Total Defence Service Act.We look forward to receiving your application