Senior LLM Engineer - Remote - £80,000-£120,000

Senior LLM Engineer - Remote - £80,000-£120,000

I’m currently working with an exciting, forward-thinking company that’s looking to bring on a Senior Large Language Model (LLM) Engineer to join their fully remote international team. They’re focused on cutting-edge AI technologies, especially in deploying highly realistic AI characters and models at scale.

If you’re passionate about training and fine-tuning open-source LLMs and working with the latest AI models, this could be a perfect opportunity for you.

The Role:

• You’ll be responsible for training open-source LLMs (like Llama and Mistral) and fine-tuning them for immersive, high-quality chat experiences.
• Build, curate, and manage datasets, including leveraging models like GPT-4 to improve smaller LLMs.
• Help deploy these models at scale using tools like Hugging Face’s Text Generation Inference (TGI).
• Collaborate with a remote team using asynchronous communication (Slack, video meetings).

Tech Stack You’ll Be Using:

• LLMs & Frameworks: Llama 3, Mistral, Axolotl, HF Transformers, PyTorch, NumPy
• Infrastructure: Linux, Docker, AWS, Kubernetes, Cloud GPU Providers
• Inference: Hugging Face TGI

What You’ll Need:

• At least 1 year of experience training open-source LLMs.
• Strong understanding of fine-tuning techniques (SFT, LoRA/qLoRA, RLHF).
• Python 3.x skills with experience in typing and data validation (Pydantic).
• Familiarity with HF Transformers, PyTorch, and building/manage datasets.
• Bonus if you’ve worked on conversational AI models, NSFW content, or have experience with Axolotl.

What’s in It for You:

• A fully remote, flexible working environment.
• The chance to work with some of the most innovative AI minds globally.
• Competitive compensation package.

This is an excellent opportunity if you’re looking for a challenge in the AI space and want to make a real impact with your skills.

Interested? Send me a message, and I’ll be happy to discuss the role in more detail and help you through the application process.

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