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Scarlet
Scarlet
1 – 10 Angajați
Sponsor pentru viza H1BEducațieProductivitateTehnologie HR
Scarlet dezvoltă abilități de leadership și competențe profesionale prin programe personalizate de educație și formare, oferite atât cu prezență fizică, cât și online. Cursurile și îndrumarea practică abordează subiecte precum eticheta pentru stagiari, networkingul de afaceri, abilitățile de prezentare și socializarea eficientă în contexte profesionale. Scarlet activează în domeniile educației, tehnologiei pentru resurse umane și productivității, punând accent pe dezvoltarea personală, comunicarea autentică și sprijinirea oamenilor în construirea încrederii și a abilităților necesare pentru a conduce în diferite etape ale vieții.
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Locurile de muncă ale companiei

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.

GBRegatul Unit
90.000 £ – 150.000 £ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de învățare automată

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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