Machine Learning Engineer
Workplace: Stockholm, Sverige
Expires: December 25, 2025
Join Apotea as a Machine Learning Engineer to build, deploy, and maintain end-to-end ML systems that deliver real-world business impact in Sweden's leading online pharmacy. Work cross-functionally in a small, agile team employing MLOps best practices and modern AI architectures, under executive-level leadership with strong visibility.
Main requirements:
- Ship ML models to production, not just prototypes
- Proficient in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with cloud infrastructure, preferably AWS
- Ability to develop end-to-end ML solutions including prototyping, deployment, and monitoring
- Strong collaboration skills across data engineering, software engineering, and product teams
- Apply MLOps and DevOps best practices including CI/CD, Infrastructure-as-Code
- Define metrics, evaluation, and validation frameworks aligned with business needs
- Mentor junior engineers and perform code reviews
Responsibilities:
- Build, deploy, and own scalable and reliable ML systems from prototype to production
- Integrate ML models into products to deliver measurable business value
- Apply MLOps and DevOps practices such as CI/CD pipelines and cloud-native deployment
- Collaborate with Data Engineers, Software Engineers, Tech Lead, and Product Owner for data, integration, and architecture alignment
- Define performance metrics and validation frameworks aligned with business goals
- Continuously identify and implement improvements enhancing team productivity and solution quality
- Provide mentorship and technical guidance to junior engineers
Required hard skills:
- Python programming
- Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Cloud infrastructure management (preferably AWS)
- MLOps practices including CI/CD and Infrastructure-as-Code
- Systematic testing including A/B testing and end-to-end software testing
Recommended hard skills:
- Experience with feature stores and real-time inference pipelines
- Knowledge of open data formats like Delta Lake or Iceberg
- Swedish language skills (advantageous but not required)
Soft skills:
- Strong collaboration and communication skills
- Proactive initiative in process and solution improvements
- Mentoring and technical leadership
- Problem-solving orientation
- Attention to documentation and testing
Coding languages:
- Python
Frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Operating systems:
- Cloud platforms (AWS preferred)
Natural languages:
- English (Proficient)
- Swedish (Basic familiarity)
Cultural skills:
- Agile and flat organizational culture
- Inclusivity and diversity valued
- Sustainability oriented environment
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