Senior Machine Learning Platform Engineer
We are seeking an experienced Senior Machine Learning Platform Engineer to join our team. The ideal candidate will have a passion for designing, deploying, and maintaining scalable, resilient, and reproducible machine learning infrastructure.
You will play a pivotal role in operationalizing ML solutions in close partnership with both data scientists and engineers, driving innovation in the used car market across Europe.
Key Responsibilities
The successful candidate will own the ML lifecycle: design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment.
* Operationalize models at scale: build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store.
* Automate and monitor: set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance.
* Accelerate experimentation: develop and maintain internal libraries, templates, and platform tooling to improve reproducibility and simplify deployment workflows for all model teams.
* Ensure reliability and quality: implement CI/CD pipelines for model and data workflows using Docker, Terraform, and Jenkins.
Requirements
To be successful in this role, you will need:
* Hands-on MLOps experience: 2+ years production experience operationalizing, deploying, monitoring, and maintaining ML models at scale.
* Proficient with infrastructure-as-code, CI/CD systems (Docker, Terraform, Jenkins, or equivalent), and at least one major cloud provider (AWS, GCP, or Azure).
* Strong Python skills (including ML libraries such as scikit-learn, LightGBM, PyTorch, TensorFlow; plus experience with SQL).
* Familiar with monitoring and logging for ML pipelines (model drift detection, data validation, performance/feature logging).
What We Offer
We offer a range of benefits, including:
* Flexible working arrangements: work from home up to 5 days a week.
* International teams: collaborate with colleagues from diverse backgrounds.
* Personal growth opportunities: contribute your ideas and learn continuously.
* Exciting team events: foster collaboration and innovation through Hackathons.
We value diversity and inclusion, and welcome applicants from all backgrounds. Please apply now to take the first step in this exciting opportunity.