Mid/Senior Ai Llm Engineer

David Kennedy Recruitment; United Kingdom; Remote; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Fully remote Europe

B2B collaboration

Paid leave 20 days

Health insurance allowance

Equipment budget

AI development tools

Learning support

Annual team gathering

Self-hosted LLMs work

Job summary

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to join a Europe-based, fully remote team. You will fine-tune self-hosted language models, create training datasets, and build evaluation frameworks for production deployment.

You will work with open-weight models, PyTorch and Hugging Face, applying LoRA/QLoRA and preference-based training techniques. The role emphasizes experimentation, collaboration with AI engineering, product and DevOps teams, and continuous improvement of

Qualifications

• Hands-on experience fine-tuning open-weight AI language models and deploying them into production.
• Strong Python programming skills.
• Experience with PyTorch and Hugging Face.
• Experience with LoRA and QLoRA techniques.
• Familiarity with preference-based training techniques such as DPO/GRPO.
• Experience building training datasets and evaluation frameworks.
• Practical experience with GPU-based training and debugging.
• Experience with consumer-facing AI products.
• Comfort working with uncensored AI models and moderation material.

Responsibilities

• Train and fine-tune existing AI language models to improve their conversational abilities.
• Prepare and improve training datasets to help models produce more accurate, natural and consistent responses.
• Develop testing methods to measure model quality and identify areas for improvement.
• Improve conversational memory, personality consistency and long-running dialogue.
• Develop multilingual conversational capabilities and interactions involving multiple characters.
• Investigate model failures and optimise training data, prompts and response filters.
• Run model training experiments using GPUs and troubleshoot technical issues.
• Deploy improved models into production, monitor their performance and continue refining them.
• Collaborate with AI engineering, product, web development and DevOps teams.

Skills

Python

PyTorch

Hugging Face

LoRA

QLoRA

DPO/GRPO

GPU Training

Dataset Preparation

Model Evaluation

Debugging

Job description

David Kennedy Recruitment is working with a company developing AI-powered conversational products, that is seeking to onboard a Mid/Senior AI LLM Engineer to join their team remotely.

The role focuses on fine-tuning and improving self-hosted large language models that power personalised AI conversations. You will work hands-on with open-weight models, training datasets, evaluation frameworks and GPU-based training, taking model improvements from experimentation through to production deployment.

Position: Mid/Senior AI LLM Engineer

Location: Europe, Remote

Employment type: B2B engagement

DUTIES AND RESPONSIBILITIES:

• Train and fine-tune existing AI language models to improve their conversational abilities
• Prepare and improve training datasets to help models produce more accurate, natural and consistent responses
• Develop testing methods to measure model quality and identify areas for improvement
• Improve conversational memory, personality consistency and long-running dialogue
• Develop multilingual conversational capabilities and interactions involving multiple characters
• Investigate model failures and optimise training data, prompts and response filters
• Run model training experiments using GPUs and troubleshoot technical issues
• Deploy improved models into production, monitor their performance and continue refining them
• Collaborate with AI engineering, product, web development and DevOps teams

REQUIREMENTS:

• Proven hands-on experience fine-tuning open-weight AI language models and deploying them into production
• Strong Python programming skills
• Practical experience with PyTorch and Hugging Face or comparable machine-learning tools
• Experience with model training techniques such as supervised fine-tuning, LoRA and QLoRA
• Familiarity with preference-based training techniques such as DPO or GRPO
• Experience building training datasets and model evaluation frameworks
• Practical experience with GPU-based training and debugging
• Ability to analyse model behaviour, troubleshoot issues and demonstrate measurable improvements
• Experience working with consumer-facing AI products
• Comfort working with uncensored AI models, explicit adult/NSFW content and sensitive moderation material

BENEFITS:

• Fully remote working within Europe
• Long-term collaboration, with B2B contracting preferred
• 20 working days of paid leave
• $100 monthly health insurance allowance
• Equipment budget
• Access to AI development tools
• Learning and development support
• Annual team gathering
• Opportunity to work on self-hosted LLMs powering consumer-facing AI products
• And many more!!!