MLOps Engineer (Python) Remote, Europe Porto

MLOps Engineer (Python) Remote, Europe
Porto
Porto, Porto District, Portugal

Overview

Svitla Systems, Inc. is looking for an MLOps Engineer (Python) for a
- time position (40 hours per week) in Europe. Our client is a broker platform that provides brokers with
- time risk capacity, anytime, anywhere. It represents a genuine step change from the current manual and
- consuming process available on the market, providing an unprecedented level of service to brokers and clients. It is the first fully digital and automatically driven Lloyd’s of London syndicate. We’re looking for a Consultant MLOps Engineer with strong software engineering fundamentals and practical knowledge of MLOps tooling and practices. You’ll join the Property Squad, which focuses on developing
- driven tools to streamline insurance quoting, enhance user experience, and improve the profitability and scalability of property portfolios. This is a
- on engineering role, best suited for a strong Python and Kotlin developer with an interest in MLOps infrastructure and workflows.

Tech Stack & Environment

• Languages: Python (must-have), Kotlin
• Cloud: GCP
• Containerization & Orchestration: Docker, Kubernetes
• MLOps Tooling: MLflow, Kubeflow, Sage
  Maker, Airflow
• Monitoring: Grafana, Prometheus, Tableau
• Search/Analytics: Elasticsearch, Kibana
• Version Control & CI/CD: Git
  Hub, Dekster

Base pay range

$60, 000. 00/yr - $60, 000. 00/yr

Pay range notice

This range is provided by Svitla Systems, Inc. . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Requirements

• 5+ years of experience in software engineering with a strong MLOps focus.
• Deep knowledge of Python and
  - on experience with Docker and Kubernetes.
• Proven experience building CI/CD pipelines for ML model deployment.
• Practical experience with MLFlow and other model lifecycle tooling.
• Strong understanding of ETL, especially around Feature Store management.
• Familiarity with geospatial systems and indexing (e. g. , H3).
• Experience in integrating ML models into production environments.
• Strong
  - solving, coaching, and collaboration skills.
• Comfortable working in a distributed, asynchronous environment.
• Education and Knowledge
• Experience working in Agile environments (Scrum/Kanban).
• Familiar with tools like Jira for workflow management.
• Strong written and verbal communication skills in English.

Nice to Have

• Familiarity with Kotlin or Java.
• Background in insurance, fintech, or other regulated domains.
• Prior exposure to model monitoring and governance best practices.

Responsibilities

• Model Deployment & Maintenance: Build and manage CI/CD pipelines for Asset and Policy RAM models.
• Package models using MLflow, containerize them, and maintain runtime diagnostics.
• Feature Store ETL: Maintain and extend connectors (AIR ingestion, Pub/Sub integration,
  - level features).
• Claims Matching Pipeline: Automate ingestion of LLM-extracted claims and align with exposure records.
• Geospatial Data Systems: Implement and extend systems using H3 indexing and open geospatial datasets.
• Monitoring & Observability: Build and manage alerting systems, troubleshoot production issues, and support Data Scientists.
• Infrastructure Support & Tech Debt: Improve server stability, evolve RAM architecture, and support updated model deployment.
• MLOps Coaching: Coach team members on Kedro, MLflow, model testing, and production best practices.
• Cross-Squad Collaboration: Liaise with the Model Ops (MOPs) team, resolve Feature Store delays, and manage
  - level dependencies.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!

Contact

Olena Kurtieieva - Recruitment Researcher

Email: o. kurtieieva@svitla.com

Linked
In: https://www.linkedin.com/in/olenakurtieieva/

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting