Foundation Model Engineer

Salary: £90,000 - 110,000 per year

Requirements:

• Proven experience training and fine-tuning LLMs or multimodal models, not just consuming APIs
• A solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience building and maintaining ML pipelines in production
• Familiarity with GPU usage and optimisation
• The ability to debug and improve model performance systematically
• Knowledge of distributed training or large-scale data processing
• Experience with MLOps tools, including CI/CD for ML, experiment tracking, and model versioning
• A background in applied research or publishing
• Familiarity with retrieval systems, embeddings, or ranking models
• A maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models

Responsibilities:

• 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, including 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 how they can be leveraged

Technologies:

• AI
• CI/CD
• Fine-tuning
• LLM
• Machine Learning
• MLOps
• PyTorch
• Python
• TensorFlow

More:

Our client is a well-funded, mission-driven organisation working at the forefront of AI development. Led by an experienced team of founders, investors, and engineers, we are focused on building safe, responsible AI systems and are growing quickly from our Cambridge base. We are investing heavily in our machine learning infrastructure and compute capability to accelerate model development and inference. This is a chance to join us at an early stage and work across the full AI lifecycle, from experimentation through to scalable deployment, with a strong emphasis on technical depth and rigour. The role offers competitive salary plus benefits.

last updated 37 week of 2026