Lead ML Engineer (12 month FTC)
Core
Lead the engineering and productionisation of machine learning and generative AI solutions, building and operating end-to-end ML pipelines for large-scale unstructured data and LLM use cases.
Role type
Lead Machine Learning Engineer (MLOps)
Builds
Production-grade ML services, data pipelines, and model serving infrastructure for a large UK organization.
Domain
Enterprise AI, Generative AI, MLOps, Cloud Data Engineering
Deliverable
production ML models
Required skills
End-to-end ML pipeline development, MLOps practices (CI/CD, observability), Cloud platform expertise (Azure), Databricks and lakehouse architectures, LLM data preparation and NLP workloads, Python API development (FastAPI), Architecture decision making
Preferred skills
Software engineering background, Experience with complex document processing
Technologies
Azure, Databricks, FastAPI, Python
Responsibilities
Build and operate end-to-end ML pipelines including data preparation, model deployment, and monitoring; Develop solutions for large-scale unstructured data and LLM ready data pipelines; Own MLOps practices covering CI/CD, model serving, and lifecycle management; Provide hands-on technical leadership and contribute to architecture decisions
Seniority
Lead, hands-on IC with delivery focus
