9 of 9 Amazon SageMaker Jobs in Scotland

and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery: Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity Python Excellence: Clean, testable code More ❯

such as Power BI and OAS Understanding of data replication tools such as Oracle GoldenGate and AWS DMS Knowledge of AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage Hands on and technical understanding of complex Data Warehousing terminology. Python scripting knowledge would be More ❯

business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages More ❯

experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. More ❯

experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. More ❯

experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. More ❯

delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data More ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X Job ID: Amazon Development Centre (Scotland) Limited - A64 How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Ads creates … If you are passionate about developing analytical solutions to solve business problems and are looking for a team that drives results to help influence Amazon business decisions, this is the right place for you. Our team is looking for a Senior Software Engineer who can help us to build … researchers and scientists to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based More ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X DESCRIPTION Shape the future of Generative AI at Amazon! Join our team building the infrastructure and platforms that power next-generation AI capabilities used by thousands of developers across Amazon's products and services. Be part of a … and scalability. Key Highlights: Work directly with AI researchers and scientists to transform innovative ideas into production systems Build and own critical infrastructure powering Amazon's next-generation AI capabilities Create developer platforms and tools that accelerate AI innovation Drive the future of ethical and sustainable AI development Work … with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools What You'll Do: Design and implement scalable, production-ready AI infrastructure and platforms Create intuitive tools and interfaces for AI model deployment and management Build robust APIs and services that enable AI capabilities across Amazon Collaborate More ❯