Foundation Model Engineer: End-to-End ML Pipelines

CommonAI CIC; Cambridge; On-site; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary package and pension

Professional development opportunities

Networking opportunities in tech and (

Job summary

CommonAI CIC in Cambridge is seeking a foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models end-to-end. You will work on an AI lab with GPU clusters, focusing on model development, data pipelines, and system performance across the full lifecycle.

The role emphasizes technical depth, rigour, and collaboration with academia, startups, and public sector partners. Strong Python/ML framework experience and production ML pipelines are essential.

Qualifications

• Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs).
• Solid understanding of model evaluation and validation.
• Experience with data quality and feature engineering for ML.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience building and maintaining ML pipelines in production.
• Familiarity with GPU usage and optimisation.
• Ability to debug and improve model performance systematically.

Responsibilities

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

Skills

LLM training

Model fine-tuning

ML evaluation

Overfitting bias variance

Data quality

Feature engineering

Python

PyTorch

TensorFlow

ML pipelines

GPU optimisation

Debug performance

Education

Maths or Computer Science background

Tools

PyTorch

TensorFlow

CUDA

Job description

CommonAI CIC in Cambridge is seeking a foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models end-to-end. You will work on an AI lab with GPU clusters, focusing on model development, data pipelines, and system performance across the full lifecycle.

The role emphasizes technical depth, rigour, and collaboration with academia, startups, and public sector partners. Strong Python/ML framework experience and production ML pipelines are essential.