Data Scientist Mid Level Uk

Satalia

London, United Kingdom
Not specified; annual bonus available when compyny...
On-site
2-4 years of ml model experience
Production deployment of machine learning
Python programming proficiency
The role involves building agentic pipelines and domain-adapted foundation models to power enterprise-grade AI systems for WPP clients

Job Summary

  • The role involves building agentic pipelines and domain-adapted foundation models to power enterprise-grade AI systems for WPP clients.
  • Candidates will own their work end-to-end, shipping production-quality Python code while collaborating with senior scientists.
  • The company offers flexible working hours, remote work options, and a culture focused on autonomy and inclusion.

Matching Summary

The role involves building agentic pipelines and domain-adapted foundation models to power enterprise-grade AI systems for WPP clients.

Salary

Not specified; Annual bonus available when company performs well; Enhanced pension, life assurance, private healthcare included

Skills & Requirements

Must-have

  • 2-4 years of ML model experience
  • Production deployment of machine learning
  • Python programming proficiency
  • Software engineering practices Git CI/CD
  • Understanding of bias-variance trade-offs

Nice-to-have

  • Experience with LLM fine-tuning or RAG
  • Familiarity with AWS or GCP cloud infrastructure
  • Background in marketing technology or ad tech
  • MSc or PhD in relevant field
  • Docker and orchestration tools knowledge

Key Requirements

  • 2-4 years of professional ML experience
  • Solid fundamentals in machine learning theory
  • Working proficiency in Python and core ML libraries

Work Rights

Not specified

Tailored Resume

Cover Letter