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1 день назад

Senior Machine Learning Engineer (AI)

Формат работы
onsite
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): Designing and deploying advanced AI systems that power our platform with an accent on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments. Focus on architecting, training, and scaling systems to turn cutting-edge ideas into reliable, production-ready tools across multimodal search, forecasting, and video understanding.

Location: Onsite in London, United Kingdom

Company

Foam, part of hirify.global Group, develops an operating system for managing digital talent with AI-enhanced features and real-time certified metrics from social media platforms.

What you will do

  • Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines.
  • Build observability and evaluation systems to monitor reasoning, token usage, and model performance.
  • Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search.
  • Engineer high-throughput time-series analytics and forecasting models.
  • Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization.
  • Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies.

Requirements

  • 4+ years of experience in machine learning engineering, building production-grade ML systems.
  • Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith).
  • Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector).
  • Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse).
  • Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket).
  • Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously.

Culture & Benefits

  • Private medical insurance and health cash plan.
  • 25 days of PTO + Sick days + Winter break.
  • Private pension scheme.
  • Monthly phone/internet reimbursement and professional development stipend.
  • New joiner Home office allowance.
  • Enhanced maternity (22 weeks)/paternity (16 weeks) leave.
  • Reduced fee gym membership and social programs.

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