Why This Role Stands Out
Join a world-leading media company's innovative AI Lab, building impactful Generative AI products and shaping the future of user interaction with content. You'll thrive in this hybrid role if you have a passion for developing LLM applications and a strong desire to contribute to cutting-edge AI advancements within a collaborative, high-impact team. Apply now to be at the forefront of AI innovation!
Quick Overview
Job Description
Senior AI EngineerLondon (Hybrid) | Up to £120,000 + BenefitsJoin 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 CompanyA 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
- Talent screening
- Interview with the VP of AI
- Technical take-home task
- Technical review
- Stakeholder interview
How to ApplyIf you're passionate about LLMs, Generative AI, and building production AI products, apply now to learn more.
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