Machine Learning Engineer – Energy Optimisation
Workplace: Stockholm, Sverige
Expires: December 12, 2025
Join Aira's Energy Optimisation team to develop and maintain machine learning models that personalize home energy management, helping reduce energy bills and CO2 emissions. This full-time, in-house role combines technical expertise with a product mindset to create impactful, understandable energy optimization solutions for customers.
Main requirements:
- Background in machine learning with experience in reinforcement learning, neural networks, or relevant personalization and optimization methods
- Strong coding skills with experience building ML systems in production, preferably using Python or Java
- Experience working with large-scale data pipelines, orchestration tools like Airflow, stream processing tools like Kafka, and cloud platforms such as GCP or AWS
- Ability to take initiative, accountability, and lead or contribute to complex technical discussions
- Motivation from impact and customer-centric product development
- Willingness to work primarily from the Stockholm office
Responsibilities:
- Develop and productionize energy optimization models balancing tariffs, weather, and customer preferences
- Apply mathematical and ML knowledge to solve real-world energy problems
- Collaborate with product designers, software, and hardware engineers to co-create user-loved features
- Conduct rapid testing of new approaches, learn from results, and scale successful solutions
Required hard skills:
- Machine Learning theory and application, including reinforcement learning and neural networks
- Programming in Python, Java, or similar languages
- Experience with ML libraries such as TensorFlow, PyTorch, or Scikit-learn (beneficial)
- Large-scale data pipeline management and orchestration (e.g., Airflow)
- Stream processing (e.g., Kafka)
- Cloud platform usage (e.g., GCP, AWS)
Recommended hard skills:
- Experience with clean energy or home energy management systems
- Knowledge of optimization techniques related to energy management
Soft skills:
- Product mindset focused on delivering value to customers
- Strong collaboration and communication skills
- Proactive initiative and accountability
- Comfortable working in fast-paced environments
- Ability to make technical decisions and lead discussions
Coding languages:
- Python
- Java
Frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Natural languages:
- English (Proficient)
Cultural skills:
- Working in diverse international teams
- Supporting diversity and inclusion
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