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Data Engineer

3 months ago

UK, UK, United Kingdom Neogen Recruitment Full time

Data & AI Engineer Opportunity – Shape the Future of Data & AI


Neogen are excited to be partnered with a specialist Data & AI consultancy focussed on helping businesses take their first steps into using AI to improve processes.


About the Role:


As a Data & AI Engineer, you will be instrumental in designing, developing, and deploying machine learning models. Working closely with our Director of Products, you will create scalable AI solutions tailored to address unique client challenges. Your efforts will transform data into actionable insights, driving business growth and efficiency.


Key Attributes:

  • Stakeholder Management: Exceptional ability to build strong relationships and manage stakeholders effectively.
  • Presentation Skills: Confident in leading client demos and presentations, showcasing solutions with clarity and impact.
  • Problem-Solving: Highly motivated by solving problems in innovative and novel ways.
  • Ownership Mentality: Demonstrate initiative, ownership, and a proactive approach to challenges, akin to a co-founder mentality.


Experience Required:

  • Cloud Platforms: Proficient in designing, developing, and maintaining production-ready applications using AWS, GCP, or Azure.
  • Programming: Skilled in Python, SQL, and other programming languages for efficient problem-solving.
  • Data Modelling: Experience in data modelling and transformation processes to support advanced analytics and AI initiatives.
  • AI Applications: Interest and experience in applying Large Language Models (LLMs) to real-world problems.
  • CI/CD Pipelines: Develop and maintain CI/CD pipelines for seamless deployment and integration.
  • Professional Experience: Minimum of 2 years in a similar role with a portfolio of successfully delivered projects.


Why Join Us?


  • Competitive Package: Attractive salary, holidays, and benefits.
  • Work-Life Balance: Hybrid working model promoting health and balance.
  • Career Growth: Opportunities for professional development and growth.
  • Innovative Environment: Collaborative workspace with a focus on innovation.
  • Diverse Projects: Work on cutting-edge AI projects across various industries.
  • Inclusive Culture: Commitment to diversity and inclusion.