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5 дней назад

AI And Automation Engineer

50 000 - 110 000GBP
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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TL;DR

AI & Automation Engineer: Designing and delivering automation and AI-enabled solutions for a FTSE250 organization with an accent on system integration, RPA, and data pipeline development. Focus on leveraging Microsoft Fabric and Data Factory to improve business efficiency and decision-making through modern automation technologies.

Location: Must be based in or able to travel to Leeds or Doncaster (Hybrid)

Salary: £50,000 - £110,000 per annum

Company

A well-established FTSE250 organisation investing heavily in data, automation, and AI technologies.

What you will do

  • Design, build, and support automation and AI-enabled solutions across the business.
  • Develop and maintain RPA, workflow automation, and system integrations.
  • Build and consume APIs to connect systems and automate business processes.
  • Work with Microsoft Fabric and Data Factory to support data and automation initiatives.
  • Collaborate with stakeholders to identify opportunities for AI adoption.
  • Ensure solutions meet standards for data quality, governance, and security.

Requirements

  • Experience with automation technologies, RPA, or workflow automation tools.
  • Understanding of data warehousing, data pipelines, and system integrations.
  • Experience building or consuming APIs.
  • Knowledge of Microsoft technologies such as Fabric, Data Factory, or Copilot.
  • Understanding of data quality and governance principles.
  • Must be able to work in a hybrid capacity with travel to company sites in Leeds or Doncaster.

Nice to have

  • Exposure to AI, machine learning, or agent-based technologies.
  • Experience with low-code/no-code platforms.
  • Experience working within manufacturing or operational environments.

Culture & Benefits

  • Opportunity to work with modern technologies in a supportive, hands-on environment.
  • Role within a growing data team at a large-scale organization.
  • Focus on continuous learning and professional development.
  • Equal opportunities employer committed to diversity and inclusion.

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