Foundation Model Engineer - Training Pipelines & LLMs

Pure Resourcing Solutions Limited; Cambridgeshire and Peterborough; On-site; GBP 90,000 - 130,000; Full time

Job summary

Pure Resourcing Solutions Limited in Cambridge is recruiting a Foundation Model Engineer to join a fast‑growing AI team. This role offers a competitive salary and benefits on site at their Cambridge base.

You will design end‑to‑end LLM training pipelines, preprocess datasets, fine‑tune open models and build evaluation frameworks across the full AI lifecycle, with emphasis on depth and rigour.

Qualifications

• Experience training and fine-tuning LLMs or multimodal models.
• Strong understanding of model evaluation, bias/variance, and data quality.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).

Responsibilities

• Design end-to-end LLM training pipelines.
• Source and preprocess datasets for training and evaluation.
• Fine-tune and optimise open weight models (LLMs, vision or traditional ML).
• Build evaluation frameworks and define performance metrics.
• Develop and maintain data pipelines and training workflows.
• Analyse training pipelines and optimise for latency, cost and scalability.
• Implement monitoring, logging and feedback loops for continuous improvement.
• Experiment with modern AI tooling and services to assess their potential.

Skills

LLM training

Fine-tuning

Python

PyTorch

TensorFlow

ML pipelines

GPU optimisation

Model evaluation

Education

Maths or Computer Science background

Tools

CI/CD for ML

Experiment tracking

Model versioning

Job description

Pure Resourcing Solutions Limited in Cambridge is recruiting a Foundation Model Engineer to join a fast‑growing AI team. This role offers a competitive salary and benefits on site at their Cambridge base.

You will design end‑to‑end LLM training pipelines, preprocess datasets, fine‑tune open models and build evaluation frameworks across the full AI lifecycle, with emphasis on depth and rigour.