4 of 4 Natural Language Processing Jobs in Yorkshire

Skills and Experience Strong commercial experience delivering AI, machine learning or data science solutions into production Hands on expertise with LLMs, generative AI and NLP use cases Strong programming skills in Python, with working knowledge of SQL and TypeScript Experience building scalable, well governed AI systems in complex or regulated ...

Strong understanding of system design and integration Experience building production AI/LLM‐powered applications Familiarity with Azure OpenAI (or similar) Understanding of RAG, NLP concepts, and evaluation techniques Experience with agent workflows or orchestration patterns Experience with ORMs (SQLAlchemy, Alembic, or similar) Strong API and data modelling skills Experience ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...