9 of 9 Use Case Jobs in Cheshire

production-ready Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models Contributing to churn and revenue prediction use cases Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay Collaborating closely with engineers, designers, and product ...

Open FGA, etc.) Why Join Paydock? Work with a passionate, remote-first team that's reshaping payments. Opportunity to lead and define AI use cases at a scaling fintech company. Flat structure, collaborative culture, and the chance to have a real impact. Competitive compensation and flexibility. ...

impact assessment of new regulatory requirements Producing clear, high-quality documentation such as: Process maps Impact assessments Gap analyses Business models User stories & use cases Options appraisals & feasibility studies Functional and non-functional specifications Assessing financial, cultural, technological and organisational impacts of change Supporting project planning and progress ...

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 ...

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 ...

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 ...

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 ...

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 ...