Graduate AI Engineer

At Scrumconnect, we are at the forefront of artificial intelligence and machine learning innovation. Our mission is to leverage cutting-edge AI technologies to solve complex problems and improve everyday life. We are looking for passionate individuals eager to build a career in AI through a hands-on learning experience.

As an AI Apprentice, you will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You'll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation to testing and optimising AI models.

This is an ideal role for someone looking to start their career in AI or further develop their technical skills in a professional setting.

• Assist with data collection, preprocessing, and cleaning tasks.
  

• Support the development and training of machine learning models.
  

• Collaborate on AI research projects under the guidance of senior AI engineers.
  

• Perform exploratory data analysis to identify patterns and trends.
  

• Document project milestones, coding progress, and learnings.
  

• Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision.
  

• Participate in regular team meetings and brainstorming sessions.
  

• Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn.
  

• Learn about data pipelines, from data ingestion to model deployment.
  

• Deepen your understanding of algorithms, AI ethics, and the latest trends in AI.
  

• Gain hands-on experience with real-world AI projects that impact our business and customers.
  

• Receive mentorship and guidance from experienced professionals in the AI field.
  

• Passion for AI/ML: Demonstrated interest in artificial intelligence and machine learning.
  

• Education: Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field.
  

• Programming Skills: Basic proficiency in Python and familiarity with machine learning libraries.
  

• Analytical Thinking: Ability to break down complex problems and communicate solutions.
  

• Willingness to Learn: Strong desire to learn new technologies and methodologies.
  

• Teamwork: Ability to collaborate with others and contribute to team success.
  

• Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch).
  

• Understanding of data structures, algorithms, and mathematical foundations for AI.
  

• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  

• Previous internship or project experience in AI/ML.
  

• Mentorship: One-on-one mentorship with industry experts.
  

• Flexible Schedule: Work hours can be adjusted based on your academic schedule.
  

• Career Development: Support in developing your portfolio and skills for a future role in AI.
  

• Networking Opportunities: Access to professional events and conferences in the AI industry.
  

1. Submit your resume and a cover letter detailing your interest in AI and why you'd like to join our apprenticeship programme.
   

2. Include any relevant projects or coursework that showcase your skills.
   

We are excited to help you kick-start your career in AI. Apply today!

• Benefits:
  

  • Company pension
    

  • Life insurance
    

  • On-site parking
    

  • Private medical insurance
    

• Schedule: Monday to Friday
  

• Education: Bachelor's degree (preferred)
  

• Work Location: Hybrid remote in Staines-upon-Thames
  

At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.