Amazing opportunity for an experienced, end to end ML Engineer to play a key role for a well established data company who embarking on the next phase in their growth journey! A very grown up, collaborative and flexible environment offering fantastic career development opportunities
Role Overview:
Drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. Collaborate with cross-functional teams to integrate ML solutions into products and ensure scalable, efficient production workflows.
Key Responsibilities:
- Design, build, and optimize ML pipelines.
- Deploy and manage models in production with orchestration tools.
- Develop CI/CD pipelines for automated testing and deployment.
- Lead ML Ops practices and monitor production models.
Skills & Experience:
- Proficiency in Python.
- Strong background in CI/CD and Kubernetes.
- Experience in production-level ML engineering (5+ years).
- Knowledge of orchestration frameworks and cloud platforms is a plus.