24 of 24 Remote/Hybrid Amazon SageMaker Jobs in London

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled ...

Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation ...

pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods and metrics. Ability to operationalize non-technical ideas into relevant research designs, features ...

Scikit-Learn, xgboost, shap) Advanced working knowledge of SQL Hands‐on experience with data pipelines and ML infrastructure Experience working within AWS (ideally using Sagemaker) and/or Azure Comfort working across our data stack - inc Airflow, Snowflake Experience with version control and CI/CD practices (ideally using ...

enterprise clients Expertise in implementing SSO across a variety of industry standard software Preferred/Bonus Experience with MLOps/LLMOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on‐premise Kubernetes Prometheus (or other stacks) observability Experience with AWS Karpenter & Compute Optimizer Compliance literacy ...

sequence embeddings. You have experience with uplift modelling and conditional average treatment effects for personalisation. You are familiar with dbt, Snowflake, AWS (S3, SageMaker), Airflow, and Trino/data lake stacks. You have prior CRM/marketing/e-commerce ML experience — customer lifecycle segmentation, campaign attribution, contact strategy ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

Infrastructure monitoring and alerting Performance monitoring Log analysis and troubleshooting Service availability monitoring Root cause analysis Desirable skills and experience Cloud & Platform Technologies AWS SageMaker Python scripting and automation Container orchestration platforms Infrastructure security and hardening Cloud networking and connectivity Application Support Knowledge C# .NET JavaScript React REST APIs ...

Infrastructure monitoring and alerting Performance monitoring Log analysis and troubleshooting Service availability monitoring Root cause analysis Desirable skills and experience Cloud & Platform Technologies AWS SageMaker Python scripting and automation Container orchestration platforms Infrastructure security and hardening Cloud networking and connectivity Application Support Knowledge C# .NET JavaScript React REST APIs ...

implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create the conditions ...

experience - S3, Lambda, EventBridge, SNS/SQS Comfortable working across TOGAF, ArchiMate, C4, UML and BPMN Hands-on with MLOps tooling and platforms - SageMaker, OpenVINO or equivalent Experience architecting data for large volumes of imagery - tiering, retention, lineage, provenance Familiar with the governance side of AI - DPIAs, model documentation ...

seen as theoretical 'black boxes' You will understand the tools and systems used to deliver all model activities, including the DSML tools (AWS Sagemaker),Snowflake and collaborate and advocate for the right approach as the needs of the business and technology evolves You will work in collaborative relationships ...

dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails … operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST, ISO 27001, with automated ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … . Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise ready architectures, balancing speed ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … . Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise ready architectures, balancing speed ...

with a leading enterprise focused on deploying agentic GenAI solutions in AWS. Key responsibilities: Deploy and operationalise GenAI solutions in AWS Build highly available SageMaker endpoints with monitoring and alerting Develop Terraform modules for repeatable infrastructure deployments Implement CI/CD and MLOps best practices Produce architecture documentation, configuration … runbooks Deliver knowledge transfer sessions and support engineering handover We're looking for someone with: Generative AI/Agentic AI experience (essential) AWS, ideally SageMaker MLOps and production ML deployments Terraform and Infrastructure as Code CI/CD and DevOps practices Monitoring, alerting and operational support Location:Remote ...

KPIs. Prioritize initiatives that directly improve LTV, retention, ARPU, ROAS, and operational efficiency. Deliver robust, production-ready ML systems across multiple verticals. Leverage AWS SageMaker, Snowflake, and internal tools with strong MLOps practices. Build and manage a high-performing AI/ML team of 10–20 professionals. Promote … with strong stakeholder communication skills across technical and non-technical audiences. Hands-on experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness ...

Principal Architect: Amazon Web Services (AWS)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentShape and lead transformative AWS initiatives across financial services. About CapcoCapco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation in financial services. We've partnered with over … asset management, and energy with an agile, inclusive, and entrepreneurial culture. Role OverviewYou will take a leading role in shaping and delivering transformative Amazon Web Services (AWS) programmes for our clients. You will bring your expertise to bear by supporting clients in designing new and innovative cloud-native platforms ...