1 to 25 of 43 LLM Jobs in Scotland

/CD and modern software delivery practices Cloud data platforms and relational databases knowledge Strong troubleshooting and communication skills Desirable: Experience with AI/LLM platforms, BI tools, and semantic data models Background in large-scale or regulated environments Please apply today to be considered McGregor Boyall is an equal ...

Desired/Nice-to-Have: Semantic data modeling, analytics platforms, and BI tools (Tableau, Power BI). Exposure to Snowflake Cortex or GenAI/LLM tools in production. Agile delivery experience (sprints, backlog refinement) and knowledge of ITSM processes. Experience supporting AI-enabled or analytics-driven platforms at scale ...

Desired/Nice-to-Have: Semantic data modelling, analytics platforms, and BI tools (Tableau, Power BI). Exposure to Snowflake Cortex or GenAI/LLM tools in production. Agile delivery experience (sprints, backlog refinement) and knowledge of ITSM processes. Experience supporting AI-enabled or analytics-driven platforms at scale ...

with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference * PyTorch for deep learning ...

with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference * PyTorch for deep learning ...

with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference * PyTorch for deep learning ...

understanding of data lineage, metadata management, or data architecture Experience working with relational databases and complex queries (e.g. DB2, Sybase) Familiarity with GenAI/LLM tools (e.g. Copilot, ChatGPT, Claude) Ability to interpret code and translate technical concepts for stakeholders Strong analytical thinking and problem-solving skills Exposure ...

Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...