Job Title
Senior Data Engineer (MLOps Focus)
Salary
Not Disclosed
Company Description
Fast-scaling workforce management platform disrupting the hospitality sector
Job Description
Join a high-growth scale‑up as the technical backbone of a sophisticated data platform. You will own the full data lifecycle, from designing robust ETL/ELT pipelines in Airflow to deploying advanced AI/ML workloads. This role bridges the gap between data engineering and MLOps, ensuring reliability as the platform expands to thousands of restaurant partners.
Location
London, UK
Why this role is remarkable
* Take technical ownership of a production AWS‑native data platform supporting complex workforce logistics for major hospitality brands.
* Work at the cutting edge of AI deployment, moving beyond traditional forecasting to implement agentic architectures and LLM‑based systems.
* High‑impact position with a direct path to architectural influence, freeing leadership from firefighting while mentoring a growing team of juniors.
What You Will Do
* Design, build, and maintain mission‑critical ETL/ELT pipelines using Airflow (MWAA) and AWS‑native tools like Athena, Redshift, and S3.
* Deploy and serve diverse ML workloads including traditional SageMaker models and agentic chatbots using Bedrock and Lambda.
* Drive infrastructure‑as‑code (IaC) adoption and operational best practices to ensure high availability and data quality across the platform.
The ideal candidate
* Expert‑level Python and SQL skills with proven experience building production‑grade data pipelines and handling incident response.
* Hands‑on MLOps background with specific experience packaging, versioning, and monitoring ML models in a cloud environment.
* Deep familiarity with the AWS ecosystem, specifically Lambda, SageMaker, and RDS, coupled with a strong CI/CD and DevOps mindset.
#J-18808-Ljbffr