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7 дней назад

Graduate AI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Graduate AI Engineer (AI): Building AI-powered tools, automations, prototypes, reusable platforms and cloud-enabled services for business and technology teams with an accent on generative AI, software engineering and emerging technologies. Focus on testing practical AI solutions, developing reusable engineering capabilities, and solving business challenges collaboratively across engineering, architecture, product and data teams.

Location: Bristol, United Kingdom; hybrid with a minimum of three days per week in the Bristol office and some work from home. This is a 12-month fixed-term contract.

Company

hirify.global is a global financial administration company with more than 11,000 employees across over 22 countries.

What you will do

  • Support AI Hub initiatives across business and technology domains.
  • Build, test and enhance AI-powered tools, automations and reusable engineering capabilities.
  • Create prototypes, proofs of concept, platforms, services and tooling for real business challenges.
  • Contribute to standards, patterns, controls and best practices for AI-enabled software delivery.
  • Track and evaluate emerging AI technologies and implement capabilities that offer clear business value.
  • Collaborate with engineering, architecture, product and data teams while developing technical skills through hands-on delivery, mentoring and AI Hub learning programmes.

Requirements

  • Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline; equivalent practical experience is also considered.
  • Foundational software engineering or programming skills, such as Java, .NET, SQL or similar technologies.
  • Genuine interest in AI, automation, software engineering and emerging technologies.
  • Awareness of Agile delivery methodologies, DevOps practices or cloud-based technologies.
  • Strong analytical and problem-solving skills, with a logical and creative approach to challenges.
  • Ability to work effectively in a collaborative team environment and communicate strongly with technology and business colleagues.
  • Proactive approach to learning and willingness to continuously develop new skills and knowledge.

Culture & Benefits

  • Flexible work arrangements to support work-life balance.
  • Health and wellbeing rewards that can be tailored to employees and their families.
  • Salary-sacrifice share purchase scheme with a company contribution.
  • Recognition awards, team get-togethers and support for future investment.
  • Welcoming, inclusive and close-knit community with experienced colleagues, mentoring and career development opportunities.

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