AI Engineer Intern – Innovation Team

dmg media

Greater London

On-site

GBP 12,000 - 15,000

Part time

14 days+
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Job summary

dmg::media is seeking an AI Engineering Intern for an 8-week program in London. You will bridge emerging AI capabilities with real-world media applications, assisting in AI agents, prompt engineering and predictive modeling to transform journalism and commercial operations.

Join the Innovation Team to prototype AI-driven tools, collaborate across editorial, product and technology functions, and contribute to a culture of rapid experimentation and learning.

Qualifications

  • Background in AI/ML, data science or related field.
  • Familiarity with LLMs, NLP concepts and AI tools.
  • Proficient in Python and APIs, able to prototype quickly.

Responsibilities

  • Research AI opportunities and trends to guide experimentation.
  • Prototype AI-driven tools to improve newsroom efficiency.
  • Explore prompt and context engineering for production-grade systems.
  • Collaborate with editorial, product and tech teams on AI opportunities.
  • Participate in rapid experimentation and iterative improvement.

Skills

Python programming
APIs experience
LLMs / NLP concepts
LangChain / AI frameworks
Cloud awareness

Education

Pursuing CS/AI degree

Tools

Langchain
LlamaIndex
Pydantic AI
MCP servers

Job description

About dmg::media

Location: dmg::media HQ - High Street Kensington, London, W8

Position: Internship (8-weeks)

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.

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