Applied AI Engineer in Nottingham

Applied AI Engineer in Nottingham

Nottingham Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build AI-powered features for innovative software products.
  • Company: Ambitious tech company focused on intelligent software solutions.
  • Benefits: Competitive salary, hybrid work model, and opportunities for growth.
  • Other info: Fast-paced environment with a focus on innovation and collaboration.
  • Why this job: Join a forward-thinking team and shape the future of AI technology.
  • Qualifications: Experience in C# .NET and a passion for AI development.

The predicted salary is between 72000 - 88000 £ per year.

Applied AI Engineer (C# . NET) - Nottingham - Hybrid (2 days a week in office) - £80,000

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.

We're working with an ambitious technology company developing intelligent software products used by thousands of customers across the UK and internationally.

They're investing heavily in AI and are looking for an Applied AI Engineer xrnqpay to help design, build and productionise AI-powered features within their existin...

Applied AI Engineer in Nottingham employer: Confidential

As a leading employer in the data centre operations sector, we offer an exceptional work environment that prioritises employee growth and development. Our collaborative culture fosters innovation and accountability, while our commitment to safety and operational excellence ensures that you will be part of a team that values your contributions. With opportunities for international travel and the chance to lead critical operations across the EMEA region, this role provides a unique platform for impactful leadership and career advancement.

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Contact Details:

Confidential Recruitment Team

We think you need these skills to ace Applied AI Engineer in Nottingham

C#
.NET Framework
AI Development
Software Design
Software Engineering
Machine Learning
Data Processing