Artificial Intelligence Intern

Orynx AI
Sheffield
1 month ago
Applications closed

Related Jobs

View all jobs

Software Delivery Manager

Graduate BI Analyst

Cyber Security Intern

Cyber Security Intern

Chief Financial Officer (CFO) – London (Hybrid/Remote Available)

INTERNSHIP IN REPURPOSING OPEN ARCHITECTURE LLM AND/OR DEVELOPING A GRAPHICAL USER INTERFACE

Orynx AI is looking forambitious university studentsto gain real-world experience inAI, Machine Learning, Data Science, and Software Engineering. Thisunpaid internshipis designed to provide hands-on experience and portfolio-building opportunities.

Who We're Looking For:

✅ AI Engineers– Build and train AI models

✅Data Scientists– Analyse data & develop predictive models

✅Machine Learning Engineers– Work on NLP, computer vision, & deep learning

✅Software Engineers– Develop AI-powered applications


What You’ll Gain:

✔ Real-world AI experienceworking on business innovation projects.

✔A strong portfolioto boost your career opportunities.

✔Collaboratewith other top student's in your field.

✔Potential for future paid roles.

✔Flexible hoursto fit around university schedules.


We are looking for someone withsomeof the following skills/interests:

  • Python Programming
  • Machine Learning & Deep Learning– Algorithms, neural networks, and frameworks like TensorFlow or PyTorch.
  • Data Analysis & Visualisation– Ability to work with large datasets using Pandas, NumPy, Matplotlib, or Seaborn.
  • NLP & Computer Vision (Bonus)
  • Software Development– Knowledge of APIs, backend systems, and full-stack development (desirably for AI-powered applications).
  • Cloud & DevOps Basics– AWS, Azure, or Google Cloud for AI deployment is a plus
  • Collaboration & Communication– Work in teams, present ideas, and document projects effectively
  • Passion for AI & Innovation– A self-driven, curious mindset to explore new technologies and improve AI solutions


This is a remote, unpaid internshipwithflexible hours, making it ideal for students looking to gain industry experience alongside their studies.

Apply viaLinkedIn Easy ApplyOR send your resume to

Hiring Multiple Candidates.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.