MLOps Engineer for a Sustainability SaaS

Berlin, Germany

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We are looking for an experienced Machine Learning Operations Engineer to join our fast-growing team. In this role, you will be responsible for the deployment, monitoring, re-training, and governance of AI models and solutions in production environments. Your work will be crucial in ensuring the scalability, reliability, and continuous improvement of our AI-driven initiatives.

Why One Click LCA

One Click LCA is the world-leading and rapidly growing life-cycle assessment software for the construction industry. It is used in 170+ countries and integrates all leading standards, data and design tools globally.

You will join a supportive, effective, and mission-oriented team in a flexible, friendly work environment. You will be working with cutting-edge tools and a team of world-class professionals around the globe to solve one of the world’s biggest challenges.

This full-time, permanent position is available on a hybrid basis for candidates based in Helsinki or on a remote basis for candidates based in Europe.

What you will do:

  • Deploy machine learning models and AI solutions to testing and production systems
  • Monitor the performance and health of deployed models, ensuring stability and reliability
  • Develop and manage pipelines for model re-training 
  • Implement robust monitoring, logging, and alerting systems for AI models in production
  • Collaborate closely with AI developers, data scientists, software engineers and DevOps Engineers to streamline the end-to-end ML lifecycle

What you need:

  • Strong experience in MLOps practices, including deployment, monitoring, and model maintenance
  • Solid understanding of cloud platforms and services (AWS preferred)
  • Proficiency with tools such as Docker, CI/CD pipelines, MLflow, or similar
  • Experience with model retraining workflows and production data management
  • Knowledge of best practices in monitoring machine learning models in live environments
  • Ability to work independently and collaboratively across cross-functional teams

What we offer:

  • Work in a growing business that helps bring about a zero-carbon future
  • Substantial freedom, with no fixed hours and remote working supported
  • Technical challenges, substantial responsibility and the chance to see the results of your work
  • Competitive compensation and opportunity for professional development
  • A dynamic, friendly, motivated and diverse team of top-notch professionals
  • Great colleagues, social events and ability to contribute to market transformation

Interested?

We are eagerly waiting for your application until 20 May 2025. Applications are reviewed upon receipt, so please apply promptly to be considered.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS CI/CD Data management DevOps Docker Machine Learning MLFlow ML models MLOps Pipelines Testing

Perks/benefits: Career development Competitive pay Flex hours Team events

Region: Europe
Country: Germany

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