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Databricks Machine Learning Engineer

Darwin Recruitment

London

Remote

GBP 50,000 - 90,000

Full time

26 days ago

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Job summary

Join a forward-thinking company as a Mosaic AI Databricks Machine Learning Engineer, where you'll design and optimize AI solutions for a global fashion brand. This exciting role focuses on building an AI-Ready Customer Platform to enhance customer personalization through advanced machine learning techniques. Collaborate with a talented team to create scalable machine learning pipelines and leverage real-time data for dynamic insights. If you're passionate about AI and eager to make a significant impact in the fashion industry, this freelance opportunity is perfect for you.

Qualifications

  • Experience in building and optimizing AI solutions using Databricks.
  • Strong background in machine learning and data integration.

Responsibilities

  • Design and optimize Mosaic AI solutions for customer personalization.
  • Build scalable machine learning pipelines and deploy models.

Skills

Mosaic AI
Databricks
Machine Learning
Feature Engineering
Real-time Data Streaming
LLMs and Advanced AI Techniques

Tools

Databricks MLflow
Delta Lake

Job description

Darwin is a Specialist Talent Delivery Partner for Databricks Projects. Over the past 6 years, we have supported some of the largest Databricks programs around the globe.

We are seeking an experienced Mosaic AI Databricks Machine Learning Engineer to join a global fashion brand on a 12-month freelance contract. This role is focused on building an AI-Ready Customer Platform to deliver a highly personalized customer experience.

Key Responsibilities:
  • Design, develop, and optimize Mosaic AI solutions on Databricks to enhance customer personalization.

  • Build and maintain scalable machine learning pipelines and deploy models into production.

  • Work with Customer 360 data, including customer behavior, preferences, and purchase history, to enable real-time recommendations.

  • Leverage LLMs and advanced AI techniques to improve personalized customer journeys.

  • Optimize feature engineering and model training using Databricks MLflow and Delta Lake.

  • Integrate machine learning models with real-time data streaming solutions for dynamic insights.

  • Collaborate with Data Engineers, Data Scientists, and Cloud Architects to ensure seamless integration with existing systems.

Contract Details:
  • Duration: 12 Months

  • Engagement Type: Freelance / Contract

  • Industry: Global Fashion Brand

  • Location: Remote (EU preferred)

  • Start Date: ASAP

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