At a Glance
- Tasks: Design and deploy innovative AI tools to transform editorial workflows and enhance digital products.
- Company: Join dmg media, a leading news publisher with a commitment to impactful storytelling.
- Benefits: Enjoy 25 days holiday, pension plan, discounts, and access to onsite facilities.
- Why this job: Be at the forefront of AI innovation in the news industry and make a real difference.
- Qualifications: Experience in AI/ML engineering and a passion for emerging technologies is essential.
- Other info: Diverse and inclusive workplace culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Main Responsibilities
- AI Solutions Development: Design, prototype, and deploy AI-driven tools that enhance newsroom efficiency, commercial operations, and digital product innovation.
- Prompt Engineering: Test and implement generative AI applications to support operational efficiency, audience engagement, content summaries and more.
- Building AI Agents: Develop and test AI-powered automation tools that streamline repetitive tasks and enhance decision‑making processes with agentic workflows.
- 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.
Person Specification
- 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.
Package Description
- 25 days’ holiday (increasing by 1 per year up to a total of 30)
- Pension plan and life cover
- Discounts on online shopping, dining cards and vouchers, and access to our Employee Assistance Programme
- Onsite gym, subsidised canteen and onsite nurse and GP clinics
- Plus much more...
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. 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.
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.
AI Engineer employer: Dmgmedia
Contact Detail:
Dmgmedia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether it's prompt engineering or building AI agents. This gives you a tangible way to demonstrate your expertise and passion when chatting with hiring managers.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives, and come armed with questions that show your interest in their work. Tailor your responses to highlight how your experience aligns with their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at dmg media.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI/ML engineering and any relevant projects that showcase your skills in generative AI and machine learning frameworks.
Showcase Your Collaboration Skills: Since this role involves working closely with cross-functional teams, share examples of how you've successfully collaborated in the past. We want to see how you bridge gaps between technical and non-technical teams!
Demonstrate Your Passion for AI: Let us know why you're excited about AI and its potential in the news industry. Share any personal projects or experiments you've undertaken that reflect your enthusiasm for emerging technologies and innovation.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dmgmedia
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI, LLMs, and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss how you've applied these technologies in real-world scenarios, as this will show your practical understanding and experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using AI solutions. Think about specific challenges you've faced and how you translated business needs into effective AI-powered solutions. This will demonstrate your ability to bridge the gap between technical skills and business objectives.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with different departments. Highlight any projects where you successfully integrated AI solutions into existing workflows, as this shows your ability to work well with others and understand diverse perspectives.
✨Stay Ahead of Trends
Familiarise yourself with the latest trends in AI and digital news publishing. Be prepared to discuss how you can leverage emerging technologies to drive innovation within the company. Showing that you're proactive about staying updated will impress interviewers and align with their commitment to experimentation and improvement.