Senior AI Engineer, AI Lab

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 personalization are being tested Partner directly with journalists and editors to develop novel evaluation metrics that capture the nuances of our tone and style

What we are looking for:

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