4 of 4 Use Case Jobs in County Antrim

model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems to track model quality and drift. Delivering technical workshops and demos to enthusiast customers and guide them ...

enhance existing frameworks. • Develop APIs in the system-level framework layer that enable other layers of the stack to implement compelling and performant use cases. • Uplift coding and design skills on the team through reviews and the introduction of best practices. • Model desired behaviors through clean, readable code ...

technical requirements Lead stakeholder engagement, facilitating workshops, interviews, and design sessions to uncover pain points, assess opportunities, and define automation and AI-enabled use cases Collaborating with development teams to prioritize and deliver AI and automation solutions aligned to business value and strategic outcomes Design, evaluate, and validate … technical teams alike to influence outcomes and drive alignment Awareness of ethical and regulatory implications of AI adoption, including bias, transparency, and responsible use Strong communication and storytelling skills, with the ability to simplify complex technical concepts for non-technical audiences Consulting mindset professional, adaptable, and comfortable working ...

MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch … streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes ...