Responsibilities

• 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
• 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 for editorial tone and style

Requirements

• 3+ years experience building with LLMs or NLP pipelines
• Experience with supervised fine-tuning, prompt tuning, or instruction tuning on proprietary datasets
• Strong understanding of fine-tuning paradigms, including RLHF/RLAIF preference modeling
• Strong Python skills including use of LangChain, HuggingFace Transformers, and data pipelines
• Comfortable defining and tracking generation quality with BLEU, ROUGE, and editorial-specific evaluators
• Exposure to STT / TTS tools for prototyping (Whisper, ElevenLabs, Bark, etc.)
• Strong communication and collaboration skills with editorial and product teams
• Curious, exploratory mindset comfortable with ambiguity and pushing GenAI boundaries

Preferred Qualifications

• Experience fine-tuning models for style or persona (chatbots with character voices)
• Exposure to observability tools for prompt / LLM testing (e.g., LangSmith)
• Knowledge of voice synthesis or emotion conditioning in audio pipelines
• Previous work in media, journalism, podcasting, or content production
• Interest or experience in multi-modal generation (text + image + audio)
• Contributions to open-source LLM tools or libraries
• Interest in ethical, editorial, and philosophical AI content considerations

Working Arrangements

• Full-time role based in London with a hybrid work pattern requiring 3+ days in office