Senior AI Engineer, AI Lab

Senior AI Engineer, AI Lab

Full-Time 76023 - 95029 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

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.
  • Other info: Be part of a small, dynamic team driving innovation in AI-driven journalism.
  • 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.

The predicted salary is between 76023 - 95029 £ per year.

We are an organisation that exists to drive progress. 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. We deliver analysis and insights in many formats to subscribers and businesses in 170 countries through our three businesses, The Economist, Economist Enterprise and Economist Education, which uphold our global reputation for excellence and integrity.

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.

Working Arrangements

The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required.

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.

Senior AI Engineer, AI Lab employer: Dormont Manufacturing Co

The Economist Group is an exceptional employer, particularly for those passionate about AI and journalism. With a strong commitment to innovation and employee growth, the AI Lab offers a collaborative work culture where your contributions directly shape the future of media. Enjoy a competitive benefits package, including flexible working arrangements and access to extensive resources, all while being part of a mission-driven organisation that values progress and integrity.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer, AI Lab

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior AI Engineer, AI Lab at Dormont Manufacturing Co.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.

Apply Directly through Our Website

When you find a suitable opening like Senior AI Engineer, AI Lab at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior AI Engineer, AI Lab

Large Language Models (LLMs)
Natural Language Processing (NLP)
Supervised Fine-Tuning (SFT)
Prompt Tuning
Instruction Tuning
Python Programming
LangChain

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.