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Senior AI Engineer, AI Lab

seniorhybrid~$12.1K /moLondon, GBScore 72/1001d ago
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fine-tuningllm
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Description
Full job description Job Title: Senior AI Engineer, AI Lab Company: 167 Solutions Location: Hybrid London (UK ONLY) Salary: £100,000 – £130,000 per annum (DOE) Contract Type: Permanent Experience Level: Minimum 3 years' experience Start Date: ASAP The Opportunity: 167Solutions is partnering with a global media and information services company committed to championing progress. This is an exciting opportunity for individuals with expertise, insights, and perspectives to navigate change and drive growth. This is a full-time role at the centre of a new AI Lab, a small team exploring how generative AI might shape the future of our 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 our 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 personaliza
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