Foundation Model Engineer: Build & Optimize LLMs End-to-End

CommonAI CIC; Cambridge; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary package

Professional development opportunities

Networking opportunities

Job summary

CommonAI CIC in Cambridge seeks a highly skilled foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models. This role emphasizes end-to-end model development, focusing on data pipelines and system performance. Candidates should have proven experience in training models, proficiency in Python, and knowledge of ML frameworks. Offers a collaborative environment, competitive salary, and professional development opportunities.

Qualifications

• Proven experience training and fine-tuning LLMs.
• Solid understanding of model evaluation and validation.
• Experience building and maintaining ML pipelines.

Responsibilities

• Design and implement end-to-end LLM training pipelines.
• Source and preprocess datasets for training/evaluation.
• Fine-tune and optimise open weight models.

Skills

Training and fine-tuning LLMs or multimodal models

Model evaluation and validation

Data quality and feature engineering

Proficiency in Python

ML frameworks (e.g. PyTorch, TensorFlow)

Building and maintaining ML pipelines

GPU usage and optimisation

Debugging and improving model performance

Tools

ML frameworks

MLOps tools

Job description

CommonAI CIC in Cambridge seeks a highly skilled foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models. This role emphasizes end-to-end model development, focusing on data pipelines and system performance. Candidates should have proven experience in training models, proficiency in Python, and knowledge of ML frameworks. Offers a collaborative environment, competitive salary, and professional development opportunities.