15 of 15 Permanent Amazon SageMaker Jobs in Scotland

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 ...

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 ...

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 ...

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 ...