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Forward Deployed Engineer

Isidor· Department
Apply on company site
Londonfull-timePosted 3mo ago

About the role

Forward Deployed Engineer who designs and ships infrastructure for frontier AI labs and enterprise data workflows, embedding with research teams to translate ambiguous research needs into robust, production-ready systems.

Responsibilities

  • Design custom data pipelines and integrations to collect, clean, and process high-quality training and evaluation data
  • Build technical infrastructure for advanced quality control workflows, including model-in-the-loop and human-in-the-loop systems
  • Develop tools to automate experiments that improve model safety, interpretability, and human alignment
  • Prepare datasets for ingestion into machine learning pipelines, ensuring consistency, accuracy, and reliability
  • Collaborate with applied AI teams and top AI labs to turn research ideas into production-ready infrastructure

Qualifications

  • Highly-driven, self-starters with strong proficiency in Python, including data manipulation, scripting, and automation
  • Experience with data wrangling and preprocessing, cleaning raw data, and preparing it for ingestion into ML systems
  • Familiarity with machine learning workflows, including feature engineering, dataset curation, and evaluation pipelines
  • Advanced coursework in mathematics and/or evidence of strong applied mathematical reasoning
  • Strong research and communication skills: ability to translate ambiguous research problems into robust, scalable technical solutions

Skills

Required:PythonData wrangling and preprocessingMachine learning workflowsCommunication

Benefits

  • Relocation package
  • Housing bonus (if within 3 miles of the office)
Last updated Jul 5, 2026. Interested? Apply on the company site.

About Isidor

Isidor develops secure, vertically-integrated pipelines for enterprise data

Isidor is an applied research and product company developing secure, vertically-integrated pipelines for Enterprise AI.

AI workflowsData pipelinesEnterprise AIFoundation ModelPost-TrainingPrivacyReasoningSecurity

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