3 of 3 Contract Data Science Jobs in Cambridgeshire

Engineer to take ownership of an ongoing NLP project for a long-standing client in the utilities sector. The Project The utilities client handles large volumes of unstructured text data, including maintenance logs, customer feedback, and technical documentation. The goal is to derive insights and automate intelligence extraction through advanced NLP techniques.You'll play a key role in maintaining … current solution, introducing new features and optimising model performance for production use. Key challenges include: Improving entity recognition and topic classification accuracy. Scaling the NLP pipeline to handle new data sources and formats. Designing efficient model retraining and deployment workflows. Integrating model outputs into the client's existing data stack and reporting tools. Core Responsibilities Develop, fine-tune … and deploy transformer-based NLP models (LLMs, BERT, RoBERTa, GPT-family). Design and implement scalable data pipelines using Python, spaCy, Pandas, and Hugging Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal More ❯

issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy, fairness, and robustness.Develop automated testing frameworks for data pipelines, model training, and inference.Perform functional, integration, regression, and performance testing on AI systems.Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯

Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression, and performance testing on AI systems. Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯