Job Details

Work Mode

Hybrid

Experience

Senior

Employment

Full-time

Salary

£80,000 - £115,000 p/y

Posted Today

Tech Stack

Required technologies & tools

Python Speech Technologies Nlp Generative Audio LLM Multimodal Ai Generative Ai Rag

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Perks & Benefits

Hybrid work

About the Role


Senior AI Engineer

London (Hybrid)

A fantastic opportunity to join a world leading media company within a newly established AI Lab focused on building innovative Generative AI products. You'll work in a small, high-impact team developing production-grade LLM applications that influence how users interact with content across text, audio, and emerging multimodal experiences.

The Company

A globally recognised organisation with a large international audience is investing heavily in AI innovation. Their dedicated AI Lab is exploring the future of AI-powered products, combining cutting-edge technology with real-world user impact. This is an opportunity to help shape the direction of a fast-growing function from an early stage.

The Role

You will:

  • Build and fine-tune LLM-powered applications and services
  • Develop and optimise RAG pipelines
  • Deliver style and tone modelling solutions to improve LLM outputs
  • Support personalisation, summarisation, and real-time generation initiatives
  • Work closely with product, engineering, and business stakeholders
  • Contribute to multimodal and audio-focused AI projects
  • Help define evaluation frameworks and model quality standards

Your Skills & Experience

  • Strong commercial experience building AI, NLP, or LLM-based products
  • Hands-on experience with modern foundation models and AI frameworks
  • Experience with fine-tuning, prompt engineering, or instruction tuning
  • Strong Python engineering skills
  • Experience evaluating and improving model performance
  • Excellent communication skills and ability to work with non-technical stakeholders
  • Experimental mindset and a passion for building high-quality AI products

Desirable experience includes speech technologies, generative audio, multimodal AI, or content-focused AI applications.


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