Job Details

Work Mode

Hybrid

Experience

Senior

Employment

Full-time

Salary

£110,000 - £120,000 p/y

Posted Today

Tech Stack

Required technologies & tools

Speech Processing Nlp Llms Generative Ai Rag Voice Ai Generative Audio

Sign in to see how your skills match.

Perks & Benefits

Hybrid working model

About the Role


Senior AI Engineer

London (Hybrid) | Up to £120,000 + Benefits

Join a newly formed AI Lab focused on building the next generation of AI-powered products. This is a highly hands-on role where you'll work on LLMs, RAG systems, generative audio, and greenfield AI initiatives within a small, high-impact team.

The Company

A global information and media organisation operating across 170+ countries. Their dedicated AI team is exploring how Generative AI can transform content, research, and user experiences through innovative products and experimentation.

The Role

  • Build and fine-tune LLM-powered applications
  • Develop RAG and retrieval workflows
  • Work on style, tone, and content modelling
  • Contribute to speech processing and generative audio projects
  • Improve existing AI agents and develop new AI products
  • Collaborate with engineering, product, and business stakeholders
  • Help shape technical architecture while remaining hands-on

Your Skills & Experience

  • Strong commercial experience building production AI systems
  • Hands-on experience with LLMs, fine-tuning, NLP, and RAG
  • Software engineering and system design expertise
  • Experience working with content-focused AI applications
  • Strong communication skills and stakeholder management
  • Experimental mindset with a passion for AI innovation
  • Exposure to speech, audio, or voice AI is a bonus

What They Offer

  • Up to £120,000 base salary
  • Hybrid working model
  • Opportunity to join a high-profile AI initiative at an early stage
  • Significant ownership and technical influence
  • Clear progression within a growing AI function

Interview Process

  1. Talent screening
  2. Interview with the VP of AI
  3. Technical take-home task
  4. Technical review
  5. Stakeholder interview

How to Apply

If you're passionate about LLMs, Generative AI, and building production AI products, apply now to learn more.


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