Data Platform Engineer (Machine Learning) Data Platform Engineer (Machine Learning) …

Morgan McKinley
in London, United Kingdom
Permanent, Full time
Be the first to apply
Competitive
Morgan McKinley
in London, United Kingdom
Permanent, Full time
Be the first to apply
Competitive
Data Platform Engineer (Machine Learning)
Job Summary
  • City of London
  • Permanent
  • BBBH784301
  • Jun 08, 2021
  • £80k - £100k

Job Description
Incredible opportunity for an experienced Data platform engineer with a strong engineering background to join one of the largest insurance firms in the UK.

Job responsibilities:
  • Work closely with the data science team on creating a scalable data science platform
  • Deploy, operate and monitor machine learning models on the cloud
  • Understand the projects the data science team are working on, and create data pipelines to accomodate
  • Work with data engineers on the data pipelines
  • Build and audit re-usable package or libraries
  • Create documentation for data science platforms and best practises
  • Co-ordinate work activities with IT and security services as required
  • Prototype innovative ways and build solution at scale

Required Skill Set:
  • Solid experience with Python (will involve a lotof python coding) (ESSENTIAL)
  • Experience with AWS platform (ESSENTIAL)
  • Preferrably exerience with S3, Lambda and EKS to serve ML (machine learning) models in production
  • Good knowledge of ETL and Data Engineering techniques
  • Strong data engineering background
  • Kubernetes or Docker experience, good DevOps knowledge
  • Experience with MLOps framework design and building ML pipelines
  • Experience building data pipelines (CI/CD)

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.

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