51 to 57 of 57 AWS Certification Jobs in Yorkshire

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

define, design, and govern enterprise data models, data flows, and data life cycle processes across multiple integrated systems. The role requires strong expertise in AWS-based solutions , NoSQL data modelling , data governance , and integration across heterogeneous systems . Working closely with engineering teams, data governance functions, and senior stakeholders … Essential Strong experience in data architecture , including data modelling for relational and NoSQL databases across structured and unstructured data environments. Hands-on experience with AWS cloud services and NoSQL technologies such as DynamoDB . Strong understanding of system integration patterns, including API-based workflows and data exchange models. Proven ...

user stories, and acceptance criteria Develop Statement of Works and define project scope Document systems integrations, API behaviour, data flows, and authentication patterns Analyse AWS solutions including RDS, Lambda, Cognito, and S3 Produce technical documentation: integration guides, sequence diagrams, API specs Support serverless workflows and event-driven architectures Facilitate … collaboration between business and technical teams Drive user acceptance testing and solution effectiveness Solution Designer Requirements Strong knowledge of AWS cloud services (RDS, Lambda, Cognito, S3) Experience delivering complex projects using agile methodologies Ability to create technical artefacts: sequence diagrams, data flows, API specifications Hands-on SQL experience ...

user stories, and acceptance criteria Develop Statement of Works and define project scope Document systems integrations, API behaviour, data flows, and authentication patterns Analyse AWS solutions including RDS, Lambda, Cognito, and S3 Produce technical documentation: integration guides, sequence diagrams, API specs Support serverless workflows and event-driven architectures Facilitate … collaboration between business and technical teams Drive user acceptance testing and solution effectiveness Technical Business Analyst Requirements Strong knowledge of AWS cloud services (RDS, Lambda, Cognito, S3) Experience delivering complex projects using agile methodologies Ability to create technical artefacts: sequence diagrams, data flows, API specifications Hands-on SQL experience ...