AI Engineer Internship

Dmgmedia; Greater London; On-site; GBP 16,000 - 20,000; Part time

Job summary

dmg::media is seeking an AI Engineer Intern to join our Innovation Team in London for an 8-week period. You will bridge emerging AI capabilities with real-world media applications, helping explore AI agents, prompt engineering, and predictive modeling for journalism and commercial operations.

The role focuses on prototyping AI-driven tools, collaborating with editorial, product, and technology teams, and contributing to rapid experimentation and learning within a dynamic newsroom environment.

Qualifications

• Background in AI/ML engineering, data science or related field.
• Understanding of LLMs and NLP concepts; familiarity with AI frameworks.
• Proficiency in Python and working with APIs.

Responsibilities

• Research AI opportunities and trends to inform the innovation team.
• Prototype AI-driven tools to improve newsroom efficiency and digital product innovation.
• Perform prompt and context engineering to optimise AI agent inputs for production systems.
• Help build and test automation tools using agentic and LLM workflows.
• Collaborate with editorial, product and technology teams to identify AI opportunities.
• Contribute to rapid experimentation and iterative improvement.

Skills

AI/ML engineering

Data Science

LLMs

NLP concepts

Python

APIs

Agentic IDE

Cloud services

Problem-solving

Passion

Education

Student or recent graduate

Tools

Pydantic AI

Langchain

LlamaIndex

Agentic IDEs

MCP servers

Job description

AI Engineer Intern – Innovation Team
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.