Client-Facing AI Data Scientist — LLM Solutions

Hamilton Barnes Associates Limited; Greater London; On-site; GBP 102,000 - 138,000; Full time

Job summary

Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes.

The role requires deep technical expertise in transformer-based ML, experience with PyTorch and Hugging Face, and the ability to present complex concepts to senior

Qualifications

• 5+ years in applied data science or ML engineering.
• Hands-on with transformer architectures, LLM training or fine-tuning.
• Experience with PyTorch and Hugging Face.
• Strong evaluation methodology, RAG and deployment patterns.
• Comfortable presenting to senior technical stakeholders.

Responsibilities

• Act as primary technical contact for enterprise clients on LLM engagements.
• Design and architect LLM training, fine-tuning, and evaluation pipelines.
• Translate ambiguous client requirements into concrete architectures and delivery plans.
• Lead deep technical discovery sessions with client teams.
• Own model performance, evaluation methodology, and deployment recommendations.
• Partner with sales, account management, and delivery to ensure sound, deliverable decisions.

Skills

LLM fine-tuning

Transformer architectures

PyTorch

Hugging Face

Evaluation methodologies

Stakeholder communication

Tools

PyTorch

Hugging Face

Distributed training

Job description

Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes.

The role requires deep technical expertise in transformer-based ML, experience with PyTorch and Hugging Face, and the ability to present complex concepts to senior