Senior ML Engineer

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech

company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the

Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the

market.

As a Senior ML Engineer, you will help accelerate Data Science at Tibber by bridging the gap between advanced data science and

robust production systems. You'll play a key role in building predictive data models that increase our metric of savings per kWh.

• Lead the ML platform build. Own the direction of our ML infrastructure: model registries, versioning, monitoring, drift

detection and automated retraining, and take it from good to great. This is the core of the role, especially in your first

year.

• Ship models that move the metric. Develop and deploy forecasting, optimization and personalization models that plug straight

into live products like Smart Charging and dynamic pricing.

• Strengthen the impact chain. We evaluate every data science service against clear goals. You'll help us take the next step:

connecting model quality all the way to realized savings per kWh, through counterfactual evaluation and decision-quality

metrics.

• Raise the bar with your peers. Review code, sharpen best practices and shape how a senior team works with LLM and agentic AI

tools, as colleagues not students.

• Own end-to-end delivery. Drive the full lifecycle from problem framing and data sourcing to production deployment and

continuous improvement.

You are driven by impact, enjoy fast-paced environments, and thrive when given autonomy. You've built an ML platform before and

know how to go beyond models that work in a notebook to a system a team can trust.

• Have a proven track record of developing production-grade ML platforms with drift detection, model registries and CI/CD

workflows, and can point to teams that shipped faster because of what you built.

• Possess deep technical skills in Python and hands-on experience with cloud ML infrastructure like Databricks MLflow, AWS

SageMaker or an equivalent.

• Bring deep expertise in at least one ML domain we run in production: time-series forecasting, optimization algorithms or

personalization at scale.

• Think in platforms, not patches: you build repeatable workflows and you know how to onboard a team of experienced peers into

them.

Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift

their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all

connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life.

We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a

journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call

ourselves!

Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just

getting started.

You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've

been. Diverse teams build better products, and we mean that.