7 of 7 Permanent Amazon SageMaker Jobs in the Midlands

data analysts, engineers, and architects to improve model performance and integrate insights. The successful candidate will: Have proficiency with AWS cloud services such as SageMaker, Lambda, S3, Step Functions, EMR, and Glue. Understand the machine learning development cycle, including data engineering, analysis, modeling, and operations. Design and implement scalable More ❯

Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone More ❯

agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing More ❯

agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing More ❯

and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with More ❯

and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with More ❯

This includes recruitment activities, management of team financials and ensure delivery is done using approved tools and technologies. Build and maintain the Contact Centre (Amazon Connect) technology and delivery roadmap working with the business stakeholders whilst also ensuring continued focus on Platform Health and stabilisation and building secure, resilient … technical skills to help the team and solve problems at hand. Extensive experience in designing, developing, and deploying solutions using AWS Telephony Framework primarily Amazon Connect , Lex, Lambda Integration, VoiceID, Contact Flows etc. Experience with shared cloud AWS services like EC2, VPC Subnet etc Experience of working in an … Architectural Design It’s a bonus if you have but not essential Knowledge and experience of AWS AI platform integrations and services such as SageMaker, Bedrock AWS Certification (Cloud Practioner/Solution Architect/Software Professional) It’s a bonus if you have but not essential Knowledge and experience More ❯