
Applied AI Engineer
- Cambridge
- £50,000-100,000 per year
- Permanent
- Full-time
- Fine-tune and adapt existing AI models (LLMs, document understanding, speech, vision) to internal business needs.
- Build and manage datasets for training and evaluation (structured + unstructured data from operations).
- Deploy models into production-ready services accessible by non-technical staff (e.g. APIs, dashboards, chatbots).
- Optimise models for speed, cost, and accuracy in day-to-day use.
- Automate data workflows and build pipelines to feed models with clean, updated data.
- Work with the AI Integration Lead to scope projects, test prototypes, and deliver operational improvements.
- Document solutions and provide light training/support to business users.
- Strong programming skills in Python (PyTorch, Hugging Face, scikit-learn).
- Experience with fine-tuning / adapting pre-trained AI models.
- Solid data handling skills (SQL, Pandas, preprocessing for text, audio, or images).
- Familiarity with model deployment (FastAPI, Flask, Docker, cloud services).
- Experience working with APIs and integrating AI into practical tools.
- Speech/audio models (ASR, diarization, TTS) or document intelligence (OCR, NER).
- Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML).
- Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML).
- Exposure to business process improvement or automation.