MLOps Engineer (Python) Remote

Company details

Description of the offer

Svitla Systems Inc. is looking for an MLOps Engineer (Python) for a full-time position (40 hours per week) in Europe. Our client is a broker platform that provides brokers with real-time risk capacity, anytime, anywhere. It represents a genuine step change from the current manual and time-consuming process available on the market, providing an unprecedented level of service to brokers and clients. It is a first-of-its-kind digital model that claims to deliver a unique advantage to its business partners. 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 data-driven tools to streamline insurance quoting, enhance user experience, and improve the profitability and scalability of property portfolios.This is a hands-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, SageMaker, Airflow
• Monitoring: Grafana, Prometheus, Tableau
• Search/Analytics: Elasticsearch, Kibana
• Version Control & CI/CD: GitHub, Dekster

Requirements

• 5+ years of experience in software engineering with a strong MLOps focus.
• Deep knowledge of Python and hands-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 problem-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, asset-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 infra-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!

Location of employment

How to apply?