AI & Emerging technologies

Staff Machine Learning Scientist

Intercom

London · Greater London · United Kingdom

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Overview

In this ML-focused role, you advance and productize machine learning features that directly impact customer service. You’ll work within a product-driven ML team, partnering with Product and Design to ship prototypes and move models to production. You will tackle value-driven problems, apply cutting-edge approaches, and measure real customer impact. Join a collaborative environment that values speed, experimentation, and cross-functional partnership to drive product outcomes.

Pay / Benefits
  • Competitive salary and equity
  • Open vacation policy and flexible holidays
  • Health and dental insurance
  • Life assurance
  • Cycle-to-Work Scheme
  • MacBooks provided
Responsibilities
  • Hire, mentor and develop engineers on the team
  • Raise technical standards for performance, reliability, and operational excellence
  • Identify ML opportunities that create customer value
  • Frame product problems with Product and Design stakeholders
  • Conduct exploratory data analysis and problem understanding
  • Research and select appropriate algorithms and tools
  • Perform offline evaluations to validate algorithms
  • Collaborate with engineers to bring prototypes to production
  • Plan, share learnings, and inform iteration
  • Partner with the rest of the team to build ML products
Key requirements
  • 5-8 years of applied ML experience
  • Senior/Staff-level background in data science, software development or academia
  • Significant, demonstrable impact on product or teams
  • Strong programming skills
  • Experience as primary technical leader for a team
  • Strong communication across engineering and other disciplines
  • Comfort with ambiguity
  • Advanced education in ML or related field (e.g., MSc)
  • Strong communication
  • Comfort with ambiguity
  • Collaborative mindset
  • NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
  • Offine evaluation methods
  • Productionalization of ML models

Reference: WJ-747_31169524 · Posted 01 Nov 2026, 12:06 PM

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