Machine Learning Engineer

Company Description

Vattenfall is a European energy company with approximately employees. For more than 100 years we have electrified industries, supplied energy to people's homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission.

Right in the heart of Vattenfall, at Business Area (BA) Markets, you will find an inspiring international environment, with a culture of care and personal growth, enabling you to be who you are, having fun, building strong relationships and learning every day. Find out what our colleagues think about our culture:

We employ around 500 professionals who are active across Europe with offices in Sweden, Germany, The Netherlands, and the United Kingdom to drive the energy transition together. Our role in Vattenfall is to maximize the value of the overall portfolio by optimizing and dispatching, hedging, and sourcing for Vattenfall's sales and generation volumes. We serve as Vattenfall's single access to energy commodity markets and trade electricity, emissions, fuels, freight, and renewable certificates.

In BA Markets the mission of the Unit OU Operations is to drive the digital transformation. OU Operations consists of diverse and highly skilled employees from more than 20 countries. We work internationally from our locations in Stockholm, Hamburg and Amsterdam.

Job Description

At 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 difference

Within 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 Do

• Build and manage MLOps pipelines using Azure ML, MLflow, and modern CI/CD tools
• Enhance ML architecture for seamless deployment, retraining, and monitoring
• Develop and operate real-time inference services
• Ensure feature parity between offline training and real-time inference
• Implement monitoring and observability for model performance, drift, and latency, e.g. with Prometheus, Grafana
• Support automation of trading and asset optimization through robust forecasting models and infrastructure-as-code practices.

Qualifications

What You Bring

• Proven experience productionizing ML models, with strong Python skills
• Solid understanding of MLOps frameworks such as MLflow, Kubeflow, SageMaker, Azure ML
• Hands-on experience with Docker and Kubernetes
• Experience building CI/CD pipelines for ML systems
• Familiarity with monitoring and observability tools
• Experience with time-series modeling or forecasting is a plus
• Strong understanding of model lifecycle challenges like drift, retraining, reproducibility
• Degree in Computer Science, Engineering, Data Science, or a related field
• Excellent collaboration and communication skills in cross-functional teams
• Fluency in English. A good command of German or Swedish will be beneficial.

Why Join Us

• Work in a mission-driven environment where your code directly influences real-time trading outcomes
• Be 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 Information

Location: Hamburg or Stockhom

We 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, For information regarding the recruitment process you are welcome to contact Recruiter Peter Blixter,

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 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