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Marlow/High Wycombe, UK (hybrid) | Full-Time | Permanent | 50,000 to 100,000 (DOE)
I am currently recruiting for a global leader in designing and manufacturing of audio and content creation tools, from microphones to audio interfaces, using AI technologies to enhance the future of audio and video processing.
We are looking for an Applied AI Engineer to design, implement, and optimise AI solutions that enhance internal business operations. You will take existing AI models (LLMs, speech models, document intelligence, etc.), fine-tune them on company data, and integrate them into usable tools for their teams.
What You'll Do:
- 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.
If this role is of interest and you would like to learn more, please get in touch. You can reach me via:
- Email: (url removed)
- LinkedIn: Sabrina Velosa | LinkedIn
