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5 дней назад

Senior Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI/LLM): Designing, building, and deploying production LLM-based and agentic systems that extract and reason over medical records and application data with an accent on evaluation, guardrails, and measurable product outcomes. Focus on architecting tool-using workflows, optimizing latency and cost, and scaling reliable AI services from prototype to production.

Location: London, UK; hybrid working approach

Company

hirify.global is an Insurtech software business developing underwriting platforms that use data and AI to improve protection insurance decisions and processes.

What you will do

  • Design, experiment with, and deploy production LLM and agentic systems for extracting and reasoning over medical records and application data.
  • Build and maintain evaluation harnesses to measure the impact of model and prompt changes.
  • Architect multi-step, tool-using workflows with explicit state, guardrails, and human-in-the-loop review.
  • Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product requirements.
  • Take systems from prototype to production while optimizing latency, cost per run, and reliability at scale.

Requirements

  • 6+ years of experience in ML/AI with hands-on expertise in NLP, LLMs/SLMs, and agentic systems.
  • Experience building with OpenAI and Anthropic models or APIs, plus strong knowledge of LLM and agent architectures.
  • Experience designing and owning evaluation harnesses for LLM and agent outputs, as well as prompt and context engineering.
  • Strong Python skills with FastAPI, Postgres or similar databases, and event-driven asynchronous architectures.
  • Working knowledge of PyTorch or TensorFlow, Docker, Kubernetes, and cloud platforms, preferably AWS.

Nice to have

  • Experience with Claude Code, Codex, DSPy, GEPA, or similar coding-agent and prompt-optimization tooling.

Culture & Benefits

  • Entrepreneurial, ownership-driven environment with a build-fast, fail-fast approach.
  • 25 days of annual leave, with the option to buy or sell additional days.
  • Private healthcare, group life insurance, income protection, and optical benefits.
  • Combined employee and employer retirement contributions of 15%.
  • Wellness, volunteering, charitable matching, parental, adoption, and fertility benefits.

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