MLOps Engineer (Python) Remote, Europe

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!

Olena Kurtieieva- Recruitment Researcher

Email: [email protected]

LinkedIn: https://www.linkedin.com/in/olenakurtieieva/

MLOps Engineer (Python) Remote, Europe

Key Skills

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