At a Glance
- Tasks: Fine-tune LLMs and develop innovative audio-first products for journalism.
- Company: Leading media organisation with a focus on AI and editorial excellence.
- Benefits: Remote work, competitive salary, and the chance to shape audience engagement.
- Why this job: Join a dynamic team and influence the future of journalism through AI.
- Qualifications: 3+ years in NLP/LLMs and strong Python skills required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading media organization seeks an experienced engineer for its new AI Lab. The focus is on fine-tuning LLMs to align with editorial voice and developing audio-first products.
Candidates should have at least 3 years of experience in NLP and LLMs, strong Python skills, and a collaborative mindset.
The role allows for remote work and offers a dynamic opportunity to influence how audiences engage with journalism.
AI Engineer, Editorial LLMs — Work From Anywhere in London employer: Economist Group
Contact Detail:
Economist Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer, Editorial LLMs — Work From Anywhere in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or media. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP and LLMs. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer, Editorial LLMs — Work From Anywhere in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience in NLP and LLMs. We want to see how your skills align with our needs, so don’t hold back on showcasing your projects and achievements!
Tailor Your Application: Take a moment to customise your application for the AI Engineer role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into our vision.
Demonstrate Your Python Skills: Since strong Python skills are a must-have, include examples of your coding experience. Whether it’s a project or a specific problem you solved, let us see your technical prowess in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Economist Group
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) and their applications in editorial contexts. Be ready to discuss specific projects you've worked on, especially those that involved fine-tuning models to match a particular voice or style.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common NLP tasks and be ready to explain your thought process as you code.
✨Collaborative Mindset is Key
This role values collaboration, so think of examples where you've successfully worked in a team. Be prepared to discuss how you handle feedback and contribute to group projects, especially in a remote setting.
✨Engage with the Audience
Understand the media organisation's editorial voice and audience engagement strategies. Prepare to share your thoughts on how AI can enhance journalism and improve audience interaction, showing that you're not just technically skilled but also aligned with their mission.