Senior Machine Learning Engineer - Scientific AI at McKinsey Company
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

25 May, 25

Salary

0.0

Posted On

26 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Nosql, Sql, Model Development, Docker, Computer Engineering, Data Structures, Data Validation

Industry

Information Technology/IT

Description

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

YOUR QUALIFICATIONS AND SKILLS

  • Master’s degree with 7+ years of relevant experience OR PhD with 5+ years of relevant experience
  • Degree in computer science, computer engineering, or equivalent experience with a research background
  • Data Engineering experience (DE Path)
  • ETL & Big Data tools (e.g., PySpark, Databricks)
  • Python testing frameworks, data validation & quality frameworks
  • SQL & NoSQL data handling
  • Feature engineering, chunking, document ingestion
  • Graph data structures (e.g., Neo4j)
  • CI/CD pipelines
  • Kubernetes basics (manifests, debugging, Docker, Argo Workflows)
  • MLflow deployment and usage
  • GenAI frameworks (e.g., LangChain)
  • GPU model development & deployment
Responsibilities

Please refer the Job description for details

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