24 of 24 Amazon SageMaker Jobs in Scotland

live services, and play a key role in resolving complex production issues.Stay up to date with the latest technologies and AWS services, including Amazon Bedrock and Amazon Q Business, to enhance client capabilities and foster innovation.Actively contribute to the engineering community.Contribute to technical pre-sales activity, including … maintaining cloud-based platforms and infrastructure, with a focus on AWS.Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda ...

live services, and play a key role in resolving complex production issues.Stay up to date with the latest technologies and AWS services, including Amazon Bedrock and Amazon Q Business, to enhance client capabilities and foster innovation.Actively contribute to the engineering community.Contribute to technical pre-sales activity, including … maintaining cloud-based platforms and infrastructure, with a focus on AWS.Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda ...

resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative AI solution … ingestion, governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.Cloud automation tooling ...

resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative AI solution … ingestion, governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.Cloud automation tooling ...

environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.· Generative … governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.· Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.· Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.· Cloud automation ...

including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability … experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput ...

including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability … experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput ...

integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection ...

operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacksFamiliarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hostingExperience with online large language model quality monitoring, including hallucination detection ...

integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection ...

building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge ...

SkillsExperience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies).Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference.Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human ...

building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge ...

data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.Experience with AWS Bedrock, SageMaker (or equivalent managed ML/GenAI platforms), ECS and deployment patterns for scalable inference.Experience with developer productivity tooling such as GitHub Copilot and Claude ...

development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, Terraform, AWS Bedrock, AWS Sagemaker, Gemini enterprise agent platform.Experience building AI applications, preferably Generative AI and LLM based apps.Experience deploying resources to the cloud via terraform and CI/ ...

Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience with real ...

client delivery experience and researchWe 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 DBAI/ML architectural patterns and best practices e.g. data drift ...

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 ...

tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities Migrate ML data pipelines from Databricks (Spark/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations ...

Your responsibilities Own the overall solution architecture for the Amazon Connect platform, including Voice routing and contact flows, IVR design and call life cycle, Agent experience and operational model Lead and contribute to deep architectural discussions, ensuring solutions follow AWS Well-Architected Framework principles (security, reliability, scalability, performance efficiency … cost optimization). Define logical, physical, and integration architectures aligned to AWS best practices Design and govern Amazon Connect instances and environments Contact flows, queues, routing profiles, High-availability and multi-region design considerations Ensure scalability, performance, and service resilience are Embedded into the solution design Define integration patterns ...

design and operate scalable AI infrastructure. You will own reliability, performance, and cost-efficiency of the LLM inference platform end-to-end, deploying on Amazon EKS, SageMaker, and on-prem GPU clusters with strong observability. You will lead incident response, capacity planning, and continuous improvement while collaborating across ...

Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements. You will work within SOW-driven teams, delivering production pipelines, security hardening ...

CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform. The Senior Data Engineer (ML) will build and migrate data pipelines feeding model training and inference, ensuring parity with the old Databricks setup. This hands-on role operates in a regulated ...

Senior Solutions Architect (AI/GenAI Specialism) for UK-based, fully remote engagement. You will lead AI/GenAI engagements, design solutions on Amazon Bedrock and SageMaker, and own the pre-sales cycle from scoping calls to SOW writing. You will apply broad AWS delivery experience to diverse ...