Foundation Model Engineer: End-to-End LLM & AI Pipelines

Pure Resourcing Solutions Limited; Cambridge; On-site; GBP 90,000 - 140,000; Full time

Job summary

Pure Resourcing Solutions Limited is seeking a Foundation Model Engineer in Cambridge to join a mission-driven AI team. You will design end-to-end LLM training pipelines, source and preprocess datasets, and fine-tune open weight models with a strong focus on performance and scalability.

The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis.

Qualifications

• Proven experience training and fine-tuning LLMs or multimodal models (not just APIs).
• Strong understanding of model evaluation, bias/variance, and data quality.

Responsibilities

• Design end-to-end LLM training pipelines.
• Preprocess datasets for training and evaluation.
• Fine-tune and optimise open weight models.
• Build evaluation frameworks and define performance metrics.
• Develop and maintain data pipelines and training workflows.
• Analyse training pipelines for latency, cost and scalability.
• Implement monitoring and feedback loops for continuous improvement.
• Experiment with modern AI tooling and services.

Skills

LLM training

Multimodal models

Python

Model debugging

Performance evaluation

GPU optimisation

Tools

PyTorch

TensorFlow

Job description

Pure Resourcing Solutions Limited is seeking a Foundation Model Engineer in Cambridge to join a mission-driven AI team. You will design end-to-end LLM training pipelines, source and preprocess datasets, and fine-tune open weight models with a strong focus on performance and scalability.

The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis.