Data Engineer - Fashion Retail (MLOps)

Data Engineer - Fashion Retail (MLOps)

Posted 1 week ago by 1757212897

£75,000 Per year
Undetermined
Undetermined
Greater London

Summary: The Data Engineer role in Fashion Retail focuses on MLOps, emphasizing the integration of machine learning operations within the retail sector. The position is based in Greater London and offers a competitive salary range. The role is pivotal in enhancing data-driven decision-making processes in the fashion industry.

Key Responsibilities:

  • Design and implement data pipelines for machine learning models.
  • Collaborate with data scientists to optimize model performance.
  • Ensure data quality and integrity across various sources.
  • Monitor and maintain MLOps infrastructure.
  • Support the deployment of machine learning solutions in production.

Key Skills:

  • Proficiency in programming languages such as Python or R.
  • Experience with data engineering tools and frameworks.
  • Knowledge of machine learning concepts and MLOps practices.
  • Familiarity with cloud platforms (e.g., AWS, Azure).
  • Strong analytical and problem-solving skills.

Salary (Rate): £75k per year

City: Greater London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Engineer - Fashion Retail (MLOps)

Salary: £65k - £75k per year

Location: Greater London

We are looking for a Data Engineer to join our team in the fashion retail sector, focusing on MLOps. The ideal candidate will have experience in designing and implementing data pipelines, collaborating with data scientists, and ensuring data quality.

  • Design and implement data pipelines for machine learning models.
  • Collaborate with data scientists to optimize model performance.
  • Ensure data quality and integrity across various sources.
  • Monitor and maintain MLOps infrastructure.
  • Support the deployment of machine learning solutions in production.

If you are passionate about data engineering and want to make an impact in the fashion retail industry, we would love to hear from you.