Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machinelearning or deep learning models and/or systems into production, including batch and real-time … with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker pipelines, Glue, LakeFormation, LLM, Bedrock, Datalake, MLOps, Model inference, Model Monitoring, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, MachineLearning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe More ❯
Doncaster, South Yorkshire, England, United Kingdom
ITOL Recruit
on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machinelearning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯
Sheffield, South Yorkshire, England, United Kingdom
ITOL Recruit
on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machinelearning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯
Sheffield, South Yorkshire, England, United Kingdom
IT Career Switch
all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machinelearning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯