MLOps Data Engineer - Fashion Retail

MLOps Data Engineer - Fashion Retail

Posted 1 day ago by Freshminds

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£80,000 Per year
Fixed-Term
Hybrid
London Area, United Kingdom
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Data-Driven Decision-Making Data Governance Data Science Data Warehouse Architectures Data Warehousing Machine Learning Predictive Analytics Python (Programming Language) Snowflake (Data Warehouse) SQL (Programming Language) Workflows

Summary: A global lifestyle brand is looking for a Data Engineer to join its CIX team, focusing on scalable machine learning solutions and data-driven decision-making. The role involves designing a production-ready ML environment and optimizing data pipelines to enhance customer engagement. The position requires collaboration with IT and data science teams to ensure best practices in model deployment and governance. The ideal candidate will also champion MLOps principles and ensure compliance with data governance and security standards.

Key Responsibilities:

  • Lead the design and implementation of a production-ready ML environment in collaboration with IT and data science teams.
  • Define best practices for model deployment, monitoring, and governance.
  • Build and optimise data pipelines using Snowflake and Snowpark to support ML workflows.
  • Support the migration of existing models into the new environment, identifying and resolving blockers.
  • Champion MLOps principles across the team, mentoring others and fostering a culture of excellence.
  • Ensure compliance with data governance, privacy, and security.

Key Skills:

  • Strong proficiency in Python, SQL, data modelling, and data warehouse architecture.
  • Hands-on experience with Snowflake and Snowpark.
  • Desired experience with ML pipelines including training, evaluation, and deployment.
  • Desired experience with MLflow or similar MLOps frameworks.

Salary (Rate): £80,000 yearly

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: fixed-term

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

A global lifestyle brand is seeking a skilled Data Engineer to join its CIX team. This team is responsible for leveraging consumer insights and predictive analytics to deliver personalised experiences across all brands and channels. The role will focus on enabling scalable machine learning solutions and supporting data-driven decision-making to enhance product relevance and customer engagement.

Responsibilities

  • Lead the design and implementation of a production-ready ML environment in collaboration with IT and data science teams.
  • Define best practices for model deployment, monitoring, and governance.
  • Build and optimise data pipelines using Snowflake and Snowpark to support ML workflows.
  • Support the migration of existing models into the new environment, identifying and resolving blockers.
  • Champion MLOps principles across the team, mentoring others and fostering a culture of excellence.
  • Ensure compliance with data governance, privacy, and security.

Requirements

  • Strong proficiency in Python, SQL, data modelling, and data warehouse architecture
  • Hands-on experience with Snowflake and Snowpark
  • Desired experience with ML pipelines including training, evaluation, and deployment
  • Desired experience with MLflow or similar MLOps frameworks

Details

  • Start date: ASAP
  • Duration: 12-month fixed-term contract
  • Salary: Up to £80,000, depending on experience
  • Location: Hybrid, with 2–3 days per week in the central London office
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