Foundation Model Engineer

CommonAI CIC; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary package

Professional development opportunities

Networking opportunities

Job summary

CommonAI CIC in Cambridge seeks a highly skilled foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models. This role emphasizes end-to-end model development, focusing on data pipelines and system performance. Candidates should have proven experience in training models, proficiency in Python, and knowledge of ML frameworks. Offers a collaborative environment, competitive salary, and professional development opportunities.

Qualifications

• Proven experience training and fine-tuning LLMs.
• Solid understanding of model evaluation and validation.
• Experience building and maintaining ML pipelines.

Responsibilities

• Design and implement end-to-end LLM training pipelines.
• Source and preprocess datasets for training/evaluation.
• Fine-tune and optimise open weight models.

Skills

Training and fine-tuning LLMs or multimodal models

Model evaluation and validation

Data quality and feature engineering

Proficiency in Python

ML frameworks (e.g. PyTorch, TensorFlow)

Building and maintaining ML pipelines

GPU usage and optimisation

Debugging and improving model performance

Tools

ML frameworks

MLOps tools

Job description

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.

We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.

The Opportunity

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.

What You’ll Do

• 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

Requirements

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

We also value

• Knowledge of distributed training or large-scale data processing
• Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
• Background in applied research or publishing
• Familiarity with retrieval systems, embeddings, or ranking models

Application Requirements

• Links to relevant projects, papers, or GitHub repositories
• A brief description of a model/system you trained and deployed end-to-end

Benefits

• A collaborative and supportive work environment
• The opportunity to have a high impact in a growing organisation
• Competitive salary package and pension
• Professional development opportunities
• Networking opportunities with influential people from across the tech sector and academia
• A vibrant office environment located a few minutes’ walk away from Cambridge train station

CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.