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Machine Learning Engineer - AI (AI Agents)

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

Текст:
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TL;DR
Machine Learning Engineer - AI (AI Agents) (AI agents, machine learning, NLP): Designing and deploying intelligent agents for e-commerce, supply chain optimization, recommendation systems, and internal operations with an accent on agent architectures, machine learning, natural language processing, and reasoning. Focus on integrating agents with enterprise platforms, experimenting with reinforcement learning and multi-agent systems, and improving accuracy, reliability, and scalability.

Location: London, United Kingdom

Company

hirify.global is a NASDAQ-listed technology and supply chain company operating across retail, logistics, technology, property, and international e-commerce.

What you will do

  • Design, implement, and optimize AI agents for customer service, supply chain optimization, recommendation systems, and internal operations.
  • Develop agent architectures using machine learning, natural language processing, knowledge representation, and reasoning techniques.
  • Integrate AI agents with existing hirify.global systems and platforms.
  • Research and experiment with new AI paradigms and technologies to improve agent performance.
  • Collaborate with product managers, data scientists, and engineering teams to define requirements and deliver solutions.
  • Monitor, evaluate, and fine-tune deployed agents while contributing to internal AI frameworks and best practices.

Requirements

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.
  • 3+ years of experience designing and implementing AI agents or intelligent systems.
  • Strong programming skills in Python, Java, or C++.
  • Strong understanding of machine learning algorithms, deep learning frameworks such as TensorFlow and PyTorch, and NLP techniques.
  • Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.
  • Understanding of software engineering principles, including design patterns, data structures, and algorithms.

Nice to have

  • Familiarity with AWS, Azure, or GCP.
  • Experience with MLOps practices.

Culture & Benefits

  • Work on global e-commerce and logistics projects.
  • Competitive salary and a supportive, people-first culture.
  • Access to learning opportunities and an inclusive work environment.
  • Collaboration, ownership, and high-quality delivery are valued.

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