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For Companies At a Glance
- Tasks: Join the Innovation Team to design and deploy AI tools that enhance workflows and products.
- Company: Be part of a leading media group known for its innovative approach in the news industry.
- Benefits: Enjoy 25-30 days holiday, private healthcare, gym discounts, and more perks!
- Why this job: Make a real impact with generative AI in a collaborative and fast-paced environment.
- Qualifications: Experience in AI/ML, Python, and cloud services; passion for innovation is key.
- Other info: Hybrid work model with opportunities for personal and professional growth.
The predicted salary is between 40000 - 60000 £ per year.
A leading media group is seeking two junior-mid (1yr+) AI Engineers to join their newly formed Innovation Team, focused on delivering cutting-edge AI solutions across editorial, product, tech, and commercial functions. This is a unique opportunity to drive tangible impact across one of the most recognised newsbrands in the country, working on generative AI applications, AI agent development, and predictive modelling in a fast-moving, highly collaborative environment.
The Role
- Design, prototype, and deploy AI-driven tools to enhance editorial workflows, commercial operations, and digital products.
- Implement prompt engineering and AI agent solutions to solve real-world problems (e.g. content summarisation, headline generation).
- Collaborate across departments to integrate AI solutions seamlessly.
- Contribute to a test-and-learn culture, building POCs with support from wider tech and product teams.
- Play a key role in training stakeholders on how to use new GenAI tools once tested and validated.
The Team
- Reporting into a senior innovation lead.
- Works in a matrix structure across Editorial, Tech, Product, and Commercial.
- Currently includes data/insights analysts, with plans to hire a senior AI Architect later in the year.
- Hybrid working model: ideally 2 days per week in the London office.
About You...
- Experience in AI/ML, LLMs, and NLP.
- Proficiency with Python, AI frameworks (e.g. PyTorch, TensorFlow, Hugging Face), and cloud services (preferably GCP or Azure).
- Hands-on experience with prompt engineering and/or AI agents (professional or personal projects welcome).
- Comfortable working across mixed teams and adapting to various environments.
- Strong communication skills and a passion for experimentation, innovation, and driving change.
Benefits
- 25 days holiday (rising to 30).
- 6% matched pension (rising to 10%).
- Private healthcare.
- Nursery discounts.
- Electric car discounts.
- Shopping and dining out discounts.
- Free mental health, legal and financial advice and assistance at any time for you and your family.
- Free estate agency.
- Season ticket.
- Bike scheme.
- IKEA and Curry's discounts.
- Eye care.
- Dental insurance.
- Gym discounts and free onsite gym.
- Onsite nurse and GP clinic.
- Subsidised canteen.
This is a rare greenfield opportunity to help shape how generative AI transforms the future of digital publishing.
AI Engineer (, , United Kingdom) employer: Switch Tech Talent
Contact Detail:
Switch Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in generative AI applications. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field, particularly those who work in media or tech. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can give you insights into the company culture.
✨Tip Number 3
Showcase your hands-on experience with AI frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source. Having a portfolio of your work can set you apart and demonstrate your practical skills.
✨Tip Number 4
Prepare to discuss how you've collaborated in mixed teams and adapted to various environments. Highlight specific examples where your communication skills and innovative mindset made a difference in a project.
We think you need these skills to ace AI Engineer (, , United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, Python, and cloud services like GCP or Azure. Use specific examples from your past work or projects that demonstrate your skills in prompt engineering and AI agent development.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Mention how your background aligns with the role's requirements and how you can contribute to the Innovation Team's goals. Be sure to include any collaborative experiences you've had across different departments.
Showcase Your Projects: If you have personal or professional projects related to AI, ML, or NLP, include them in your application. Briefly describe the challenges you faced, the solutions you implemented, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Check for any spelling or grammatical errors, and ensure that your writing is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Switch Tech Talent
✨Showcase Your AI Knowledge
Make sure to brush up on your understanding of AI/ML, LLMs, and NLP. Be prepared to discuss specific projects you've worked on, especially those involving Python and AI frameworks like PyTorch or TensorFlow.
✨Demonstrate Collaboration Skills
Since the role involves working across various departments, highlight your experience in collaborative environments. Share examples of how you've successfully integrated AI solutions with different teams in the past.
✨Prepare for Technical Questions
Expect technical questions related to prompt engineering and AI agents. Be ready to explain your thought process and problem-solving approach when discussing real-world applications, such as content summarisation or headline generation.
✨Express Your Passion for Innovation
Convey your enthusiasm for experimentation and innovation during the interview. Discuss any personal projects or initiatives you've undertaken that demonstrate your drive to push boundaries in AI technology.
