Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Intern

Orynx AI
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Tradeweb International Summer Internship Program 2026 - Artificial Intelligence, Technology Division - Tradeweb LLC

Artificial Intelligence Research Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.