AI Engineer, AI Lab London - Commercial
AI Engineer, AI Lab London - Commercial

AI Engineer, AI Lab London - Commercial

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our AI Lab to build and fine-tune LLM-powered systems for innovative journalism.
  • Company: The Economist Group, a global leader in media and information services.
  • Benefits: Competitive salary, private health insurance, flexible work options, and generous leave policies.
  • Why this job: Make a real impact on how millions engage with journalism through cutting-edge AI technology.
  • Qualifications: 3+ years of experience with LLMs or NLP pipelines and strong Python skills.
  • Other info: Be part of a small, dynamic team driving innovation in AI journalism.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We are an organisation that exists to drive progress. That’s the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

This is a full-time role at the centre of our new AI Lab, a small team exploring how generative AI might shape the future of Economist journalism. This role will focus on building and fine-tuning LLM-powered systems with a particular focus on editorial tone, style transfer, retrieval workflows, and multimodal generation (especially audio). You’ll ship products from zero-to-one and see your ideas directly influence how millions of readers interact with our journalism. If you enjoy working close to design, iterating fast, and building novel interactions across text, voice, and visuals, we’d love to hear from you. You’ll be one of the first three engineers in a dedicated lab, working alongside the Tech Lead, Design Lead and Product Lead.

What You’ll Do

  • Fine-tune large language models (LLMs) for style and tone alignment with The Economist’s editorial voice
  • Design, curate, and manage datasets used for fine-tuning, including versioning and annotation workflows
  • Build and evaluate RAG pipelines that incorporate retrieval from structured content
  • Prototype and test TTS (text-to-speech) pipelines for use in audio-first products (leveraging tools like ElevenLabs, OpenAI TTS etc)
  • Collaborate with infra, frontend, and design leads to ship internal tools and demos that explore GenAI capabilities
  • Own quality evaluation pipelines (BLEU, ROUGE, editorial scoring, custom evals), including human-in-the-loop feedback loops
  • Support product experiments where real-time generation, summarisation, or personalization are being tested
  • Partner directly with journalists and editors to develop novel evaluation metrics that capture the nuances of The Economist's tone and style

Specific Skills and Expertise

  • 3+ years experience building with LLMs or NLP pipelines (ideally hands‑on with OpenAI, Claude, Cohere, Gemini, Mistral, HuggingFace)
  • Experience with supervised fine‑tuning (SFT), prompt tuning, or instruction tuning on proprietary datasets
  • Strong understanding of fine‑tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modeling
  • Strong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases)
  • Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial‑specific evaluators
  • Exposure to STT / TTS tools for prototyping (e.g., Whisper, ElevenLabs, Bark, etc.)
  • Strong communication and collaboration mindset — able to work closely with editorial and product stakeholders
  • Curious and exploratory — comfortable working in ambiguity and pushing the boundaries of GenAI capabilities

Strong Candidates Might Also Have

  • Experience fine-tuning models for style or persona (e.g. chatbots with specific character voices)
  • Exposure to LangSmith or similar observability tools for prompt / LLM testing
  • Knowledge of voice synthesis, cloning, or emotion conditioning in audio pipelines
  • Previous work in media, journalism, podcasting, or content production contexts
  • Familiarity with multi‑modal generation (text + image + audio), or interest in pushing toward that frontier
  • Contributions to open‑source LLM tools or libraries
  • An interest in the ethical, editorial, and philosophical questions raised by AI‑generated content

More About the Economist AI Lab

We believe AI will fundamentally change both our business and the world around us, making our mission more vital than ever. While we already use AI across The Economist Group, we think the changes to come in the next few years could be even more far‑reaching. This is why we are launching the Economist AI Lab—to reimagine Economist journalism for an AI‑driven world. It is a deliberately ambitious project, exploring new ideas and possibilities beyond our existing AI initiatives and engineering roadmap. A small, dedicated team, the AI Lab will serve as an innovation engine for The Economist – investigating bold new ideas that will shape how we serve our global audience in the future.

What we offer

Our benefits package is designed to support your wellbeing, growth, and work‑life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.

AI Engineer, AI Lab London - Commercial employer: Economist Group

The Economist Group is an exceptional employer, particularly for those passionate about AI and journalism. Located in London, our AI Lab offers a collaborative and innovative work culture where you can directly influence the future of journalism through cutting-edge technology. With a strong focus on employee growth, competitive benefits, and a commitment to work-life balance, we empower our team to thrive while tackling meaningful challenges in a dynamic environment.
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Contact Detail:

Economist Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer, AI Lab London - Commercial

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at The Economist Group. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Show off your skills! If you've got a project or a portfolio that highlights your experience with LLMs or NLP pipelines, make sure to share it during interviews. It’s a great way to demonstrate your expertise and passion.

✨Tip Number 3

Prepare for the unexpected! Be ready to discuss how you would tackle real-world problems related to AI and journalism. Think about how generative AI can enhance editorial tone and style – this will impress the interviewers.

✨Tip Number 4

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 being part of our innovative team at The Economist AI Lab.

We think you need these skills to ace AI Engineer, AI Lab London - Commercial

Large Language Models (LLMs)
Natural Language Processing (NLP)
Supervised Fine-Tuning (SFT)
Prompt Tuning
Instruction Tuning
Python
LangChain
HuggingFace Transformers
Data Pipelines (Pandas, DVC, Weights & Biases)
Text-to-Speech (TTS) Tools
Evaluation Metrics (BLEU, ROUGE)
Collaboration Skills
Curiosity and Exploratory Mindset
Multi-Modal Generation

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission at the AI Lab. Share specific projects or ideas that excite you about generative AI and how they could impact journalism.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with LLMs and any relevant projects you've worked on. We love seeing how your skills can contribute to our innovative team, so don’t hold back!

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and make sure to highlight your key achievements and skills relevant to the role.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at The Economist Group!

How to prepare for a job interview at Economist Group

✨Know Your LLMs Inside Out

Make sure you brush up on your knowledge of large language models (LLMs) and their fine-tuning processes. Be ready to discuss your hands-on experience with tools like OpenAI, HuggingFace, and any specific projects you've worked on that align with The Economist's editorial voice.

✨Showcase Your Collaboration Skills

Since this role involves working closely with journalists and editors, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you've navigated ambiguity in team settings to drive projects forward.

✨Demonstrate Your Curiosity

The Economist values a curious mindset, especially in exploring new AI capabilities. Be ready to share instances where you've pushed boundaries or experimented with innovative ideas in your previous roles, particularly in relation to generative AI.

✨Prepare for Technical Questions

Expect technical questions around Python, data pipelines, and evaluation metrics like BLEU and ROUGE. Brush up on these topics and be prepared to discuss how you've applied them in real-world scenarios, especially in relation to editorial quality and style.

AI Engineer, AI Lab London - Commercial
Economist Group
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