1 to 25 of 45 Permanent Amazon SageMaker Jobs in London

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments of customer businesses … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments of customer businesses … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines ...

Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines ...

distributed teams Continuous learning mindset with a focus on emerging technologies and innovation Nice-to-Have Experience with AWS or GCP ML platforms (e.g., SageMaker, Vertex AI) Front‐end development (React) or backend development (.NET/C#) Commercial awareness and understanding of business value delivery #J-18808-Ljbffr ...

models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers; and associated mentoring. Experience working with or on Modern ...

models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers; and associated mentoring. Experience working with or on Modern ...

models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers; and associated mentoring. Experience working with or on Modern ...

. Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency in MLOps tools and practices: CI/CD, monitoring and orchestration ...

. Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency in MLOps tools and practices: CI/CD, monitoring and orchestration ...

. Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency in MLOps tools and practices: CI/CD, monitoring and orchestration ...

technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics ...

tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows) MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker, Databricks or equivalent) Cloud experience (AWS, GCP, Azure), containerisation and basic data engineering/SQL Familiarity with experimentation, A/B testing and online evaluation ...

Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. ...

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 ...

Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human-in-the-loop or user feedback signals into ...

cloud infrastructure • Excellent Python and SQL skills • Experience deploying and monitoring ML systems in production • Exposure to AWS services such as Redshift, S3, Lambda, SageMaker, Athena etc. • Someone comfortable operating in fast-growth, high-ownership environments • High level STEM Degree from a top ranked UK University ...

cloud infrastructure • Excellent Python and SQL skills • Experience deploying and monitoring ML systems in production • Exposure to AWS services such as Redshift, S3, Lambda, SageMaker, Athena etc. • Someone comfortable operating in fast-growth, high-ownership environments • High level STEM Degree from a top ranked UK University ...

cloud infrastructure • Excellent Python and SQL skills • Experience deploying and monitoring ML systems in production • Exposure to AWS services such as Redshift, S3, Lambda, SageMaker, Athena etc. • Someone comfortable operating in fast-growth, high-ownership environments • High level STEM Degree from a top ranked UK University ...

engineering agentic AI systems • Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage • Ability to prototype proof-of-concept web applications with familiarity across the full stack • Expert usage of AI coding tools ...

offs. Real-time ML & reproducibility: A strong grasp of production inference patterns and reproducible environments (Docker, MLflow or equivalent). Cloud & tooling: AWS, plus SageMaker, Snowflake, Spark/Databricks and Kubernetes. Engineering mindset: A focus on reliability, maintainability and continuous improvement. ...

systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar ...

systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar ...