29 авг

ml engineer for healthcare communication

выше рынка на 276,5%
вакансия 1 114 186 ₽
в среднем 295 941 ₽
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описание

Accurx builds a system-wide healthcare communication platform for the NHS. Its digital toolkit connects healthcare professionals and patients, supporting triage, appointment scheduling, patient questionnaires, staff communication, and AI-powered medical note-taking.

задачи

  • Own the end-to-end technical design of ML systems, from data ingestion and training pipelines through deployment and real-time monitoring;
  • Partner with Data Scientists to evolve experimental code into high-quality, extensible library modules;
  • Build reusable components that improve developer efficiency and reduce cycle times across the team;
  • Translate complex clinical and product objectives into efficient computational tasks;
  • Select appropriate tools, including Deep Learning, NLP, and off-the-shelf solutions, and make build-versus-buy trade-offs;
  • Turn one-off experiments into repeatable platform capabilities;
  • Build models and systems that can be adopted by other Accurx product teams;
  • Resolve cross-team dependencies as new AI models are rolled out.

требования

  • Extensive experience with ML techniques such as Transformer-based NLP, Deep Learning, Tree-based methods, and Bayesian modelling;
  • Proven experience taking models from a Jupyter notebook to a high-availability production environment;
  • Experience managing data versioning and model serving;
  • Mastery of a production-grade language such as Python, C#, or Go;
  • Experience writing extensible, modular libraries for adoption by other teams;
  • Experience defining offline and online metrics;
  • Strong design and code review skills;
  • Ability to identify technical risks such as data leakage and hardware constraints before they affect the product roadmap;
  • Nice to have: experience with sensitive, regulated data and privacy-first techniques such as differential privacy or secure data handling, familiarity with Terraform, Kubernetes, SageMaker, or Vertex AI, hands-on experience fine-tuning LLMs, prompt engineering, and managing latency and cost trade-offs of large language models at scale.

условия

  • Share options up to £30,000;
  • Flexible healthcare cover, pension, and life insurance options;
  • Office-first culture with 3 days per week in the Shoreditch office;
  • Core hours are 10am - 4pm;
  • 28 Days of holiday plus bank holidays;
  • Up to 4 weeks to work from anywhere per year;
  • Enhanced parental leave, fertility support, and parental loss support;
  • Free healthy breakfasts, snacks, and lunches.

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Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.