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

About dmg::media 

dmg media maintains an unwavering commitment to uncovering the stories that matter most. Its brands Daily Mail, The Mail on Sunday, MailOnline, Mail+, Metro, The i Paper and New Scientist reach more than 9 million people daily in the UK. Globally, dmg media’s brands reach 160 million unique browsers every month across its domains and apps. 

Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.

The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country. It is the largest news publisher on TikTok with over 21 million total followers and nearly 30 billion views in the past year.

www.dmgmedia.co.uk

About the role

We are seeking an AI Engineer to drive AI innovation across our organisation. This role will be instrumental in exploring and implementing AI solutions (prompt engineering, predictive modelling, etc) and AI agent builders to enhance editorial workflows, commercial operations, and product development. Working closely with cross-functional teams, the ideal candidate will bridge the gap between emerging AI capabilities and practical applications, ensuring that AI-driven solutions align with business objectives, journalistic integrity, and audience needs.

Responsibilities

• AI Solutions Development: Design, prototype, and deploy AI-driven tools that enhance newsroom efficiency, commercial operations, and digital product innovation.
• Prompt Enginering: Test and implement generative AI applications to support operational efficiency, audience engagement, content summaries and more. 
• AI Agent Builders: Develop and test AI-powered automation tools that streamline repetitive tasks and enhance decision-making processes.
• Collaboration & Integration: Work closely with editorial, video, product, commercial, and technology teams to identify AI opportunities and seamlessly integrate solutions into existing workflows.
• Test & Learn Culture: Foster a culture of experimentation, rapid prototyping, and iterative improvement to evaluate the effectiveness of AI solutions.
• Ethical AI & Governance: Ensure AI applications align with journalistic and ethical guidelines, maintaining editorial integrity and transparency.
• Industry & Technology Trends: Stay ahead of AI advancements, experimenting with new technologies to drive innovation in digital news publishing.

Key Skills

• Experience in AI/ML engineering, AI architecture, or data science roles, with a focus on real-world AI applications.
• Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
• Experience working with cloud AI services (AWS, Azure, GCP) and AI model deployment.
• Proficiency in Python, APIs, and AI-driven automation tools.
• Experience working with cross-functional teams in media, publishing, or digital product environments is highly desirable.
• Strong problem-solving skills and ability to translate business needs into AI-powered solutions.
• Passion for experimentation, emerging technologies, and driving meaningful change in 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 age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (which includes colour, nationality and ethnic or national origins), religion or belief, sex or sexual orientation.

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.