MLOps Data Engineer

Freshminds Interim; Greater London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A global lifestyle brand is seeking an experienced MLOps Data Engineer to design scalable data pipelines and integrate ML models. The ideal candidate should have strong Python and SQL skills, along with experience in Snowflake and ML pipelines. This role offers a hybrid working arrangement, with a salary of £65,000 - £75,000, depending on experience.

Qualifications

• Strong proficiency in Python, SQL, data modelling, and data warehouse architecture.
• Hands-on experience with Snowflake and Snowpark.
• Experience with ML pipelines including training, evaluation, and deployment.

Responsibilities

• Design, build, and maintain scalable data pipelines using Snowflake and Snowpark.
• Collaborate with data scientists to integrate ML models into production environments.
• Optimise large datasets for analytics and machine learning applications.
• Monitor data quality, performance, and lineage across workflows.
• Support deployment and maintenance of ML models in production.
• Write clean, modular Python code for data processing and orchestration.

Skills

Proficiency in Python

SQL

Data modelling

Data warehouse architecture

Experience with Snowflake

Experience with Snowpark

Hands-on ML pipelines

Experience with MLflow or similar frameworks

Job description

A global lifestyle brand is seeking a skilled MLOps Data Engineer to join itsCIXteam. 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

• Design, build, and maintain scalable data pipelines using Snowflake and Snowpark
• Collaborate with data scientists to integrate ML models into production environments
• Optimise large datasets for analytics and machine learning applications
• Monitor data quality, performance, and lineage across workflows
• Support deployment and maintenance of ML models in production
• Write clean, modular Python code for data processing and orchestration

Requirements

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

Details

• Start date: ASAP
• Duration: 12-month fixed-term contract
• Salary: £65,000 - £75,000, depending on experience
• Location: Hybrid, with 2-3 days per week in the central London office