1 to 25 of 67 Amazon SageMaker Jobs in the UK

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 ...

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 ...

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 ...

influence architecture, mentor engineers, and guide teams through complex technical decisions. Nice to have Experience with any of the following would be beneficial: AWS SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions, EventBridge, CloudWatch, IAM, S3, ECR, or related services. MLflow, model registries, feature stores, model observability, drift detection ...

scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience ...

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 ...

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 ...

Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure ...

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. ...

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 ...

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 ...

automated testing • Familiarity with containerisation technologies such as Docker and Kubernetes • Experience working with cloud AI and Machine Learning services including AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform • Strong analytical and problem-solving skills with the ability to develop practical AI solutions to complex business challenges ...

with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture DevOps/MLOps tooling Desirable Experience Experience with Generative ...

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 ...

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 ...

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 ...

agnostic engineering mindset; able to work across varied client stacks. Experience with cloud AI services and MLOps/LLMOps (e.g., Azure AI Foundry, AWS SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/ ...

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 ...

developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python | SQL | TensorFlow | PyTorch | AWS | Azure | SageMaker | NLP | LLMs | MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical ...

science/ML tooling – scikit, TensorFlow, hugging face, pytorch Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data Robot, Sagemaker, Bedrock, Weights and Biases. Oauth/JWTs Two-stage remote interview process with capacity to start ASAP. ...

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 ...

management skills ✔️ Experience mentoring junior team members Nice to Have ➕ Experience building agentic AI systems ➕ Healthcare or pharmaceutical industry experience ➕ AWS experience (ECS, Bedrock, SageMaker, Serverless) ➕ Full-stack prototyping experience ➕ Experience using AI-assisted development tools and workflows ...