Remote Data and AI Engineer in Bury

Remote Data and AI Engineer in Bury

Bury Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop machine learning models to transform data into actionable insights.
  • Company: Join a unique consultancy focused on innovative AI solutions.
  • Benefits: Work remotely with competitive pay and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement potential.
  • Why this job: Be at the forefront of AI technology and make a real impact on business decisions.
  • Qualifications: Experience with AWS, GCP, or Azure and strong stakeholder management skills.

The predicted salary is between 60000 - 80000 Β£ per year.

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer.

The Role

You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients.

The Requirements

This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include:

  • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure
  • Exceptional stakeholder management skills with the ability to build strong relationships
  • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives
  • Explore and apply LLMs to build novel, AI driven applications
  • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration
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Contact Details:

Grabjobs Recruitment Team

We think you need these skills to ace Remote Data and AI Engineer in Bury

Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
API Integration