Senior Machine Learning Engineer

Vertex Search
London
1 day ago
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Senior Machine Learning Engineer

London or Paris

Remote/Hybrid will be considered with frequent travel to the office


Vertex Search is proud to partner with a cutting-edge, agile start-up that has plans to double in size in 2026! They are already revenue-generating and have created unique, bespoke AI solutions that produce double the accuracy of traditional LLMs.


As a Senior Machine Learning Engineer, you'll sit at the intersection of machine learning, product, and engineering, working closely with a world-class research team to turn advanced ML capabilities into a coherent, high-impact agent used on real-world problems. More specifically, you'll build the intelligence layer of their highly advanced agentic AI agent.


You’ll help design:

  • The iterative interaction between the Agent and users
  • The ML logic and decision workflows powering the Agent
  • Reusable predictive pipelines that generalise across datasets
  • Robust evaluation and model comparison frameworks


This is a high-ownership role where you’ll shape core product architecture in a fast-moving environment.


What You’ll Be Doing

  • Designing end-to-end predictive pipelines (data → model → evaluation)
  • Implementing decision logic that guides and automates parts of the ML workflow
  • Turning complex ML processes into reusable, scalable abstractions
  • Integrating advanced research outputs into production workflows
  • Writing clean, modular, production-grade Python code
  • Collaborating closely with research, product, and engineering


What We’re Looking For

  • Around 7+ years in ML Engineering or applied ML roles
  • Strong experience building end-to-end ML systems used in production
  • Deep expertise in working with agentic agents (experience in synthetic data, tabular data, or similar fields is a plus!)
  • Excellent ML fundamentals and ability to reason about trade-offs
  • Strong Python and production-quality coding practices


Benefits

  • Highly competitive salary
  • Generous equity
  • 35 days paid vacation
  • Private healthcare

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