Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает содержательную работу на стыке ИИ и клинических данных с понятными целями на первые три месяца, но два широких направления и отсутствие суммы оплаты затрудняют оценку нагрузки и условий.
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Два направленияОплата не указанаАктуальный стекИИ в медицинеПонятный старт
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Hands-on Engineer (AI/Clinical Data): Building the evaluation harness, multimodal training-data pipelines, and clinical knowledge base for Tricorder's deployable healthcare platform with an accent on data quality, clinical terminologies, and model evaluation. Focus on designing annotation and dataset workflows, benchmarking vision-language and NLP models, linking clinical concepts, and structuring sensitive data for pre-hospital care.
Location: Hybrid in Bristol or London, UK
Company
hirify.global is building Tricorder, a dual-use healthcare venture developing rugged hardware and software for defence medical and civilian pre-hospital care in remote and contested environments.
What you will do
Build an evaluation harness for vision-language and NLP models, including clinically meaningful metrics, regression tracking, and build-versus-buy analysis.
Design labelling schemas, annotation tooling, quality checks, and inter-annotator agreement processes with clinical input.
Develop reproducible pipelines for ingesting, cleaning, de-identifying, and transforming video, sensor, and text data.
Organise, version, and catalogue multimodal datasets and prepare documented training, validation, and test splits.
Design the clinical knowledge-base schema and ingest tactical combat care, SNOMED CT, ICD-10, and related NHS standards.
Extract and link clinical entities, parse documents, and work with clinicians to represent real-world pre-hospital reasoning.
Requirements
Strong Python and data engineering skills, with production data or ML pipeline experience.
Hands-on experience with ML evaluation frameworks, benchmarks, or test harnesses.
Experience with data labelling, training-data preparation, annotation tooling, and quality control.
Working knowledge of databases and data modelling, plus practical NLP experience in entity extraction, entity linking, or document parsing.
Comfort handling sensitive data under data protection and clinical safety constraints.
Pragmatism and speed when working with ambiguity and making build-versus-buy decisions.
Nice to have
Experience with SNOMED CT, ICD-10, dm+d, NHS clinical terminologies, FHIR, or HL7.
Health-tech, clinical informatics, defence, or another regulated-domain background.
Experience with video data at scale, multimodal datasets, LLMs, VLMs, or edge deployment.
Early-stage startup experience, especially as a founding or early engineer.
Culture & Benefits
Work directly with the founder and hirify.global build team.
Choose between a flexible consultancy agreement with a competitive day rate or a long-term permanent employment contract.
Permanent employment includes shares and scope to grow into a longer-term engineering role.
High-urgency environment focused on shipping practical tools for clinical use.
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