9 of 9 Contract Amazon SageMaker Jobs

Generative AI models, LLMs, and agentic frameworks. Collaborate with stakeholders to define problem statements and solution approaches. Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. Ensure high-quality delivery and adherence to best practices ...

similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable ...

e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker ...

responsibilities: Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science ...

Sales, AI, RAG, Machine Learning, Data and AI standards, Large Language Models, Generative AI, Delivery, AI Propositions, Data Solutions, Bid Response, Technical, AWS Sagemaker, AWS Bedrock, Azure AI Platform/Machine Learning, Jupyter, ChatGPT, Claude, Llama, and OpenAI. We have an extremely exciting and rare opportunity for an experienced ...

tokenization etc) Strong knowledge of API/Microservices , Async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, queues Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud. Experience of Building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn ...

designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs, microservices, and event ...

responsibilities: Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines click apply for full job details ...

Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/GitHub/GitLab) Secure landing zones, policy-driven cloud governance, FinOps Vector, Data & Integration … Azure-native sources to enable analytics and GenAI readiness. Cross-Cloud FS AI Enablement Led design patterns portable across Azure + AWS Bedrock/SageMaker for regulated workloads. Developed controls for data boundary enforcement & model validation pipelines. GenAI & Cloud Solutions Architect Accelerated AI value from PoC pilot scaled capability ...