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Scarlet
Scarlet
1 – 10 कर्मचारी
H1B वीज़ा प्रायोजकउत्पादकताएचआर टेकशिक्षा
Scarlet व्यक्तिगत रूप से और ऑनलाइन संचालित अनुकूलित शिक्षा एवं प्रशिक्षण कार्यक्रमों के माध्यम से नेतृत्व और पेशेवर कौशल विकसित करता है। इसके पाठ्यक्रम और व्यावहारिक मार्गदर्शन में इंटर्न के शिष्टाचार, व्यावसायिक नेटवर्किंग, प्रस्तुति कौशल और पेशेवर वातावरण में प्रभावी सामाजिक व्यवहार जैसे विषय शामिल हैं। शिक्षा, एचआर तकनीक और उत्पादकता के क्षेत्रों में कार्यरत Scarlet व्यक्तिगत विकास, प्रामाणिक संवाद और जीवन के विभिन्न चरणों में नेतृत्व करने के लिए लोगों में आत्मविश्वास व कौशल विकसित करने पर ध्यान केंद्रित करता है।
LinkedIn
कंपनी की नौकरियाँ

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.

GBयूनाइटेड किंगडम
£90,000 – £1,50,000 / वर्ष
हाइब्रिडपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियर

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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