26 to 49 of 49 Permanent Amazon SageMaker Jobs

experience in using one of 3 major cloud technologies ( AWS, Azure or GCP ) in a production environment, as well as ML platforms ( e.g., AWS Sagemaker, Azure Machine Learning studio ) Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop ...

Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

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 ...

frameworks (e.g., Python, .NET, APIs, approved SDLC and web frameworks). Design secure and scalable integrations with AWS services such as S3, Redshift, SageMaker, EC2, IAM, and VPC. Cloud, Security & Governance Ensure applications meet security, risk, and data protection requirements, including SSO/MFA, encryption, segregation of duties ...

languages and frameworks (e.g., Python, .NET, APIs, approved SDLC and web frameworks).Design secure and scalable integrations with AWS services such as S3, Redshift, SageMaker, EC2, IAM, and VPC.Cloud, Security & GovernanceEnsure applications meet security, risk, and data protection requirements, including SSO/MFA, encryption, segregation of duties, and access ...

ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies ...

expand from a GCP‐first environment to a hybrid AWS and GCP architecture. Define GPU compute strategy across Kubernetes, Vertex AI and SageMaker, balancing performance, scalability and cost efficiency. Drive the production adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation and governance. Collaborate ...

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 ...

models into production, balancing quick wins with robust engineering. Focus areas include AI/OCR workflows, RAG systems, and deploying models on AWS with SageMaker/Bedrock. This hybrid role requires 1–2 days in Central London per week and right to work in the UK. #J-18808-Ljbffr ...

strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

vision to delivery, across a hybrid UK environment. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable data products while collaborating with cross-functional teams to implement CI/CD and governance practices. #J-18808-Ljbffr ...

Power Platform Developer, PL‐600 Power Platform Solution Architect, or Azure AI Foundry/Copilot credentials). Experience with the AWS AI stack (e.g., Amazon Bedrock, SageMaker, Kiro, and related AI services Experience with agent orchestration frameworks (e.g., Semantic Kernel, AutoGen) and multi‐agent patterns). Experience operating ...

aware performance tuning. You will own reliability, performance, and cost efficiency of the LLM platform end-to-end, manage diverse hosting environments including EKS, SageMaker, and on‐prem GPU clusters, and lead incident response with strong #J-18808-Ljbffr ...

provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise ...

with product managers, clinical teams, and engineers to translate model insights into actionable product features Production ML Infrastructure: Establish robust MLOps practices using MLFlow, SageMaker, or similar platforms for model versioning, deployment, and monitoring Model Performance Monitoring: Implement comprehensive monitoring for model drift, performance degradation, and clinical safety metrics … large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities using tools like MLFlow, SageMaker, Vertex AI, or Azure ML Experience building real-time ML inference systems and streaming analytics pipelines Strong software engineering practices including version control ...

model monitoring, content safety, LLMOps, GenAIOps or production support for AI systems Experience with non‐Microsoft AI platforms or services, such as AWS Bedrock, Amazon Q, SageMaker, Google Vertex AI, Anthropic Claude, OpenAI APIs or open‐source model ecosystems Familiarity with ISO 42001, NIST ...

collaborate with enterprise teams to align with standards. The role requires hands-on development in Python and .NET, experience with AWS services (S3, Redshift, SageMaker, EC2, IAM, VPC), and a track #J-18808-Ljbffr ...

Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it. The Head of AI Solutions is a newly created ...

models and drive business insights.Be a Databricks champion or have some Databricks certificationsAWSWork hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and moreStrong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).AWS Certified ArchitectAdditional InfoSecurity Clearance: To be successfully ...

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to ...

Role Summary We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that … platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment. Partner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architectures ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across … into leads, created career ladders, built team culture Nice‐to‐Haves Experience in the marketplace, SaaS, or fintech businesses Familiarity with our stack: SageMaker, Snowflake, dbt, Docker Built or contributed to feature store, MLOps, or experimentation platform infrastructure Experience in establishing experimentation and A/B testing ...

building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with the AWS SageMaker and EC2 product teams to shape product vision and prioritize features. A keen sense of ownership, drive, and being scrappy is a must. Basic Qualifications … communicating across the organization from technical staff to VP/CxOs Strong verbal and written communications skills and ability to lead effectively across organizations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...