12 of 12 Permanent Model Validation Jobs in the South West

models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users … primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...