Cambridge Machine Learning transforms data and AI ambitions into operational success. We design architectures, build intelligent systems, and optimise models for performance and reliability. From strategy and discovery to deployment and ongoing assurance, we deliver solutions that make AI practical, compliant, and effective.
What work we do
We design, build and assure modern AI systems - from LLM applications and agents to the data and MLOps foundations that keep them reliable, observable and compliant.
AI Engineering
- LLM apps & tool-using agents
- Retrieval (RAG) & orchestration
- Prompt design & eval loops
Data Platforms
- Lakehouse on Azure/AWS
- Streaming & batch pipelines
- Vector stores & governance
MLOps & Evaluation
- MLflow, CI/CD, deployments
- Automated regression tests
- Prompt/model versioning
Assurance & Compliance
- EU AI Act readiness
- Risk controls & runbooks
- Monitoring & audit trails
Our expertise
We design data and machine learning strategies to fit your business/research needs. We are a full-service consultancy offering training and recruitment support, strategy and solutions design,
implementation, maintenance and deployment.
A.I. development and deployment
Our senior team members have a wealth of experience in turning ideas into production-ready, scalable systems.
A.I. assurance, evaluation and monitoring
A.I. observability is a necessity for performance, trust and compliance.
Full-Stack Development
We have deep experience in developing the full application around your A.I. Have a preferred cloud provider? We've deployed to all the major ones.
Machine Learning
We design, train and optimise cutting-edge machine learning models from your data for effective applications.
