76 to 100 of 151 Amazon SageMaker Jobs in the UK

cloud platform, and debugging from logs and traces. Nice to have Agents used daily by operators, with a feedback loop. AWS SageMaker, AWS ECS/Fargate, Terraform and CircleCI. Snowflake and dbt. Event logging for analytics or machine learning. Lead generation or ad tech. How you'll work Commercial ...

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 ...

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 ...

business outcomes. Enterprise AI & Hyperscaler Ecosystem Depth: Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct hands ...

Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural ...

technical excellence. Qualifications Proficiency in Python and C#. SQL or R is a plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such ...

technical excellence. Qualifications Proficiency in Python and C#. SQL or R is a plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such ...

Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training* Proficiency in backend and frontend technologies such as .NET ...

libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust ...

knowledge systems at scale Experience designing evaluation frameworks for AI-generated or retrieval-based outputs Exposure to MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker) Experience optimizing systems for performance, scalability, or cost Familiarity with frameworks or tools for orchestrating LLM-based workflows and agent-like systems Experience working ...

business outcomes. Enterprise AI & Hyperscaler Ecosystem Depth: Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands‐On Modern AI & Agentic Builder Experience: Direct hands ...

started. We're a team of 100 people, passionate about solving our customers' problems. Join us. Our Data & BI Stack: Data & Analytics: SQL, Python, Sagemaker, Jupyter Bi & Visualisation: Looker, Power BI Data & Infrastructure: AWS, Terraform & wider cloud data environment Product & Collaboration: Notion, Miro, Figma AI & Data Science: Python based ...

commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes ...

commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes ...

commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes ...

strategic insight Preferred Qualifications, Capabilities, and Skills Familiarity with monitoring tools, especially for AI/ML model monitoring Proficiency in Golang Experience with AWS Sagemaker for model training and deployment Familiarity with Kubernetes and managing deployments to EKS Knowledge of networking concepts such as Virtual Private Clouds ...

Nexus experience and SSO implementation across industry-standard softwareScripting in Bash and Python or Go, and experience integrating SAST and DASTDesirable: MLOps or LLMOps (SageMaker, Kubeflow, ZenML), Prometheus observability, AWS Karpenter, ISO 27001, NIST SSDF, OWASP SAMM, active SC or DV clearanceWhat's On OfferCompany pension with 4% employer ...

Interspeech, ICASSP, or NeurIPS. Experience with multimodal model architectures, including audio-text native models. Familiarity with cloud ML ecosystems such as AWS SageMaker, GCP Vertex AI, or Azure ML. #J-18808-Ljbffr ...

sectors.ResponsibilitiesSet the technical vision, architecture standards and engineering practices for the AWS practiceLead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patternsProvide hands-on technical oversight on complex engagements and ensure quality deliveryEstablish and nurture the AWS partnership through competencies, programs and joint ...

cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: Fully Remote: Freedom to work from anywhere ...

Extensive experience delivering solutions in cloud (AWS/Azure), IaaS, and PaaS environments, specifically leveraging cloud-native AI/ML services (e.g., SageMaker, Azure AI)* Strong background managing teams operating under formal Product and Development Lifecycles, including the validation of AI models in regulated environments* Knowledge of evolving ...

production systems. Track record taking GenAI POCs from prototype to production‐scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool‐use chains, or AI‐native developer toolchains. Why Fireworks? Solve Hard Problems: Tackle challenges ...

libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust ...

systems that deliver value to real users. Nice to have Experience working with scientific or scholarly text. Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns. Experience running LLMs under real cost and latency budgets in production. Some exposure to agentic AI applications: tool ...

Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A. Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore, alongside SageMaker, Lambda and Step Functions, with CDK or equivalent IaC. Hands-on LLMOps and MLOps experience, including agent … consumed by multiple product teams, such as internal MCP servers or agent tooling. Experience with vector search at scale, using tools such as OpenSearch, Amazon S3 Vectors or pgvector. Familiarity with AI governance and regulation, and with putting responsible AI practices into day-to-day engineering. An advanced degree ...