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S core Nordic Linkedin · Posted 20d ago

Lead ML Engineer / Head of Data Science

Stockholm, Stockholm, Sweden

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About S core Nordic

S core Nordic is an emerging technology company building the next generation of smart city infrastructure. We transform urban mobility by delivering high-quality, real-time traffic and parking data services. Through our proprietary hardware sensor networks and advanced data processing, we empower cities and transit authorities to make data-driven decisions for sustainable urban environments.

We are now looking for a foundational Lead Machine Learning Engineer / Head of Data Science to join our core technical team in Stockholm.

The Role As our Lead ML Engineer, you will architect, build, and scale the intelligence engine of S core Nordic. You will have full ownership of our machine learning pipelines, transforming raw data streams from our hardware sensors into actionable spatial insights, predictive models, and high-value data products.

You will work closely with the founders, our Hardware Lead, and our Software Track to ensure seamless edge-to-cloud data processing and model optimization.

Key Responsibilities

  • Architect and implement machine learning models (specifically focusing on computer vision, spatial data analysis, or time-series sensor data).
  • Optimize ML models for deployment, balancing edge computing limits on hardware with cloud infrastructure performance.
  • Design robust data pipelines to process, analyze, and structure real-time urban mobility data streams.
  • Collaborate closely with hardware and software engineering tracks to define data architectures and API requirements.
  • Drive the technical vision for data science and machine learning within the company as we scale.

What We Are Looking For

  • Strong background in Machine Learning, Deep Learning, and Data Science.
  • Proficient in Python and core ML frameworks (e.g., PyTorch, TensorFlow, OpenCV).
  • Experience with computer vision, object detection, or spatial/geospatial data streams.
  • Familiarity with deploying models on edge devices (IoT/embedded systems) and managing cloud environments (AWS/Azure/GCP) is a major plus.
  • An entrepreneurial, problem-solving mindset – you thrive in an early-stage environment where you get to build frameworks from scratch.
  • Strong communication skills and fluency in English (our internal working language).

What We Offer

  • A defining technical leadership role in a highly scalable smart-city technology company.
  • A competitive equity partnership framework (with structured time- and milestone-based vesting).
  • High autonomy, a flat structure, and a driven, collaborative founding team.
  • The opportunity to build infrastructure that directly impacts the future of sustainable urban transport.

We look forward to your application!

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