Ml / Data Engineer – Data Science Enablement

Amgen UK

Not specified; not specified; not specified
Not specified (assumed hybrid)
Python and sql programming skills
Databricks and cloud platform experience
Scalable data and ml pipeline development
Amgen UK is seeking an ML/Data Engineer to join its Data Science Enablement team, focusing on building and maintaining scalable data pipelines and productionizing machine learning models to support patient finding solutions within the Rare Disease Business Unit. The ideal candidate will have a strong technical background in ML engineering and data engineering, along with experience in collaboration with data science teams

Job Summary

  • This role supports the Rare Disease Business Unit by building scalable pipelines to enable reliable patient finding solutions.
  • Candidates will work closely with data scientists to productionize models and establish robust evaluation and monitoring frameworks.
  • The position offers exposure to end-to-end ML systems and the opportunity to shape ML engineering standards at scale.

Matching Summary

Match Score: 85

Amgen UK is seeking an ML/Data Engineer to join its Data Science Enablement team, focusing on building and maintaining scalable data pipelines and productionizing machine learning models to support patient finding solutions within the Rare Disease Business Unit. The ideal candidate will have a strong technical background in ML engineering and data engineering, along with experience in collaboration with data science teams.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Python and SQL programming skills
  • Databricks and cloud platform experience
  • Scalable data and ML pipeline development
  • Model deployment and monitoring frameworks
  • ML lifecycle management tools like MLflow

Nice-to-have

  • Experience in healthcare or commercial analytics
  • Familiarity with feature stores and reusable assets
  • Patient journey or patient finding use cases
  • Containerization and orchestration frameworks
  • Strong collaboration with data science teams

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 3–5 years of experience in ML or data engineering
  • Working knowledge of Databricks and AWS, Azure, or GCP

Work Rights

Not specified

Tailored Resume

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