Foundation Model Engineer

We’re seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.

We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You’ll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.

Design and implement end-to-end LLM training pipelines

Source and, where appropriate, 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 them for latency, cost, and scalability

Implement monitoring, logging, and feedback loops for continuous improvement

Experiment with modern AI tooling and services to investigate how they can be leveraged