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59 минут назад

Consultant / AI Engineer

Формат работы
hybrid
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
Consultant / AI Engineer (Data Science / Artificial Intelligence): Developing production-ready AI and machine learning systems, industrializing ML platforms with MLOps, and building cloud-based analytics systems with an accent on end-to-end solution delivery, scalability, and reliability. Focus on designing advanced analytics platforms, deploying AI/ML solutions, and applying Python, Docker, Kubernetes, Databricks, MLflow, and Vertex AI to complex data challenges.

Location: Milton Keynes or London, UK; hybrid

Company

hirify.global is a global consulting firm dedicated to Data, Analytics, and AI solutions, delivering end-to-end support across the data value chain for clients in diverse industries.

What you will do

  • Develop AI solutions from identifying business objectives and challenges through building production-ready systems.
  • Lead the industrialization of machine learning systems using MLOps practices for scalability and reliability.
  • Design and implement advanced analytics platforms and cloud-based systems for large-scale data science operations.
  • Use cloud tools and platforms to develop and deploy data science and MLOps solutions.

Requirements

  • Degree in Computer Engineering, Telecommunications Engineering, software engineering, or a related technical discipline.
  • At least 4 years of experience as a machine learning engineer or in a similar role, including hands-on work building and deploying AI and ML solutions.
  • Solid understanding of data science fundamentals, solution lifecycles, and MLOps practices.
  • Proficiency in software development and implementation of AI/ML systems.
  • Experience with Python, R, Docker, Kubernetes, Azure Databricks, MLflow, and Google Vertex AI.

Nice to have

  • Master’s or Ph.D. in big data, artificial intelligence, or a related field.
  • Experience in data and analytics consulting or a similar domain.
  • Experience in data engineering or other data value chain roles.
  • Hands-on cloud experience with infrastructure, data pipelines, and AI/ML system monitoring.
  • Relevant ML system development certifications from Azure, AWS, or Google Cloud.

Culture & Benefits

  • Full-time hybrid work based in Milton Keynes or London.
  • Work on AI, data, and analytics projects with industry-leading clients across varied business contexts.
  • Customized career plans, continuous learning, and development opportunities.
  • Inclusive culture supporting independent work and collaboration with peers.

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