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Scarlet
Scarlet
1 – 10 Employees
H1B Visa SponsorEducationHR TechProductivity
Scarlet develops leadership and professional skills through customized education and training programs delivered both in person and virtually. Its courses and practical guidance cover topics such as intern etiquette, business networking, presentation skills, and effective socializing in professional settings. Operating across education, HR technology, and productivity, Scarlet focuses on personal growth, authentic communication, and helping people build the confidence and skills to lead at different stages of life.
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Senior Machine Learning Engineer, London Hybrid

Build and deploy agentic document-understanding systems for Scarlet’s medical-device certification workflows. Develop evaluated machine learning systems that accelerate certification while protecting safety and evidence integrity.

GBUnited Kingdom
£90,000 – £150,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredMachine Learning Engineer

Description

  • Design agentic document-understanding systems that search, parse, and visually inspect technical files
  • Create agent harnesses that retrieve information from large collections of varied documents
  • Maintain source attribution and reduce hallucinations while balancing accuracy, latency, and cost
  • Deploy agent-based systems into production
  • Work with assessors to define success and create datasets and benchmarks for a complex domain
  • Evaluate retrieval quality, citation accuracy, expert agreement, assessor effort, assessment quality, customer experience, and rework
  • Use evaluation findings to guide improvement priorities
  • Develop agents that uphold the impartiality and objectivity expected of a certification body
  • Help users interpret evidence, identify uncertainty, and retain accountability for consequential decisions
  • Lead machine learning systems from concept and prototype through deployment, evaluation, and continuous improvement
  • Partner with clinicians, assessors, and engineers to accelerate medical-device certification without reducing safety

Requirements

  • At least three years of experience delivering software into production
  • Working knowledge of deep learning, agent tools, context management, and information retrieval
  • Experience creating datasets for machine learning evaluation
  • Strong first-principles understanding of statistics and machine learning system evaluation
  • Experience designing, deploying, and operating production systems
  • Practical judgment about production security, including data access, permissions, untrusted inputs, and consequential actions
  • Ability to select workload-appropriate infrastructure and explain trade-offs involving complexity, reliability, security, and cost
  • Ability to take ownership of ambiguous problems, from defining success with domain experts through experimentation and production improvement
  • Preferred: experience deploying agent systems involving tool use, sensitive data, or consequential actions, with evaluation and safeguards
  • Preferred: experience building retrieval or document-understanding systems whose outputs must be validated against complex source evidence
  • Ability to work in the London office for the working session

Benefits

  • Equity compensation
  • Working session and interviews included in the hiring process

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