4 of 4 Model Validation Jobs in Northern Ireland

integrating or developing new techniques for implementation and delivery as part of our product offerings. This includes feature engineering, applying varying models, testing, and validation, and best practices for use for customers. Responsibilities: Development of predictive models using time series, geospatial and environmental sensor data. Designing scalable feature engineering More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

working with cloud technologies, and transforming raw data into actionable insights. You'll collaborate closely with experienced engineers and cross-functional teams to integrate, model, and maintain large datasets from multiple sources, ensuring data quality and reliability. You'll be involved in designing and optimising data workflows, supporting analytical … decisions through high-quality, well-documented data processes. What you'll do: Develop and maintain ETL/ELT pipelines and data models Support testing, validation, and optimisation of data processes Work with cloud technologies (Azure preferred) and modern DevOps tools Collaborate with business stakeholders to understand data needs Create More ❯

PhD holders with domain expertise in "Finance & Accounting" to generate high-quality datasets, curate information, and create structured content to enhance a Large Language Model's (LLM) learning capabilities. The ideal candidate will have a strong background in research, writing, and data curation, along with a deep understanding of … instructional datasets, including dialogues, summaries, explanations, and multi-turn conversations. Ensure linguistic clarity, coherence, and adherence to ethical AI guidelines. Review, validate, and refine model-generated outputs for accuracy and relevance. Collaborate with AI engineers, data scientists, and linguists to improve the LLM's comprehension and reasoning abilities. Qualifications … a focus on accuracy and clarity, in English, are required. The ability to synthesize complex information into digestible content is required. Familiarity with AI model training workflows, prompt engineering, and/or data augmentation techniques is preferred, but not required. Additional Information 100% Remote role Highly flexible #J More ❯