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AI Engineer Internship

Summary

Build and test AI-driven tools for a news publisher, focusing on LLM agents, prompt engineering, and automation to improve journalism and commercial workflows.

AI Engineer Intern – Innovation Team
Location: dmg::media HQ - High Street Kensington, London, W8
Position: Internship (8-weeks)

About dmg::media
At dmg::media, we are committed to uncovering the stories that matter most. Our iconic brands—including Daily Mail, Metro, The i Paper, and New Scientist—reach over 9 million people in the UK daily and 160 million unique browsers globally every month. We are a powerhouse of digital engagement, holding the title of the largest news publisher on TikTok with over 21 million followers.

The Role: AI Engineering Internship
We are looking for a forward-thinking AI Engineer Intern to join our Innovation Team. This role is designed for a student or recent graduate eager to bridge the gap between emerging AI capabilities and real-world media applications. You will help us explore how AI agents, prompt engineering, and predictive modeling can transform modern journalism and commercial operations.

Key Responsibilities

  • Research AI opportunities: Provide thorough insight into the latest AI trends, emerging models and frames that the innovation team could test and implement to improve performance of AI systems.
  • Prototyping: Assist in designing and prototyping AI-driven tools to improve newsroom efficiency and digital product innovation.
  • Prompt & Context Engineering: Explore ways to optimise the prompt and context that is passed to AI Agents for production grade systems.
  • Building AI Agents: Help develop and test automation tools that use agentic and LLM workflows to streamline repetitive tasks and accelerate business performance.
  • Cross-Functional Collaboration: Work alongside editorial, product, and technology teams to identify new AI opportunities.
  • Test & Learn: Contribute to a culture of rapid experimentation and iterative improvement.

What We Are Looking For

  • Technical Foundation: A background in AI/ML engineering, data science, or a related academic field.
  • Core Knowledge: Understanding of LLMs, NLP concepts and AI frameworks (e.g. Pydantic AI, Langchain, LlamaIndex)
  • Programming Skills: Proficiency in Python and experience working with APIs.
  • Agentic IDE Experience: Ability to assist in code development using agentic IDEs and MCP servers alongside them.
  • Cloud Awareness: Familiarity with cloud services (e.g AWS, Azure, or GCP) is a plus.
  • Problem-Solving: The ability to understand business needs and translate them into AI solutions.
  • Passion: A genuine interest in emerging technologies and driving change within the news industry.

Our Commitment

We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.

We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • Are you authorised to work in the country to which you are applying? choose any
  • If no, please explain your status? [please state N/A if this is not applicable to you]
  • If working on a visa, please state which type? [please state N/A if this is not applicable to you]
  • LinkedIn Profile (please state N/A if you do not have a LinkedIn profile)
  • How did you hear about this job?
  • Are you a current dmg::media employee? choose one
  • What is your current or most recent salary and/or package? optional
  • What is your expected salary / package?
  • What is your current notice period?
  • Links to any work that you would like to share? such as your portfolio, GitHub, Stack or any examples of work [If no, please state N/A]
  • Are you happy for us to hold your data as per GDPR? we will keep your details for a minimum of 12 months from your application date choose one
  • This position will be hybrid, we are based in High Street Kensington on the District and Circle Line. Please confirm you understand this position is based in the office x4 days per week but may require some flexibility?
  • Do you have an understanding of LLMs, NLP concepts and AI frameworks (e.g. Pydantic AI, Langchain, LlamaIndex)? choose one
  • Are you proficient in Python and have experience working with APIs? choose one
  • Are you aware that this is an internship lasting 8 weeks? choose one

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