5 дней назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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