ML Engineer - Energy Optimization & Grid Tech

Aira; Stockholms kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Aira, based in Stockholm, Sweden, is seeking a Machine Learning Engineer to join the Energy Optimization team. You will develop and deploy ML and optimization models that control heat pumps, batteries, and solar assets, turning real-world signals into reliable customer insights.

You will work closely with Product, Engineering, Design, and other teams to ship customer-facing intelligence that is reliable, understandable, and valuable.

Qualifications

• Experience building ML, data, or optimization systems used in real-world products.
• Strong programming skills in Python and software engineering fundamentals.
• Experience taking models beyond notebooks, including evaluation, testing, deployment, or monitoring.
• Experience with cloud platforms such as AWS, GCP, or Azure.

Responsibilities

• Build and improve ML and optimization models that power customer-facing energy optimization features.
• Work on time-series forecasting, scheduling, and decision models for heat pumps, batteries, solar, tariffs, weather, and customer behaviour.
• Productionise and own models end-to-end, including deployment, monitoring, reliability, and iteration based on real-world outcomes.
• Run experiments on real customer systems, evaluate impact, and turn results into product decisions.
• Contribute to initiatives from discovery to production impact, helping define success metrics and align with stakeholders.
• Communicate clearly with technical and non-technical audiences, explaining trade-offs, uncertainty, model behaviour, and what is good enough to ship.

Skills

Python

ML systems

Time-series forecasting

Deployment/Monitoring

Cross-functional collaboration

Communication skills

Tools

AWS

GCP

Azure

Job description

Aira, based in Stockholm, Sweden, is seeking a Machine Learning Engineer to join the Energy Optimization team. You will develop and deploy ML and optimization models that control heat pumps, batteries, and solar assets, turning real-world signals into reliable customer insights.

You will work closely with Product, Engineering, Design, and other teams to ship customer-facing intelligence that is reliable, understandable, and valuable.