Senior ML Engineer
- Location
- Manchester, England, United Kingdom
track record of writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models … e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background in forecasting, demand planning, or retail/supply chain domains. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting ...