26 to 40 of 40 Remote/Hybrid Amazon SageMaker Jobs

business-critical services. - GitLab, PostgreSQL, NGINX, VPN/OpenVPN, Elastic/Kibana and Windows administration. Desirable - C#, .NET, JavaScript, React, Vue.js and microservices. - AWS SageMaker, AI/LLM integrations and Python-based analytics tooling. - Enterprise cloud architecture and secure-by-design principles. - Disaster recovery and business continuity planning. - Experience ...

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 ...

pipelines, MLOps frameworks, and automated machine learning deployment processes Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc) Experience building APIs, microservices, and cloud-based solutions that integrate machine learning capabilities into wider platforms and applications Excellent collaboration and technical communication skills ...

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 ...

SAST and DAST practices. Automation and scripting skills with Bash, Python or Go. Strong communication and stakeholder management skills. Desirable MLOps or LLMOps experience (SageMaker, Kubeflow, ZenML). Prometheus or other observability tooling. AWS Karpenter and Compute Optimizer experience. Knowledge of ISO 27001, NIST or OWASP frameworks. Experience working ...

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 ...

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 ...

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 ...

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 ...

infrastructure across backend and frontend, while guiding a 5+ engineering team. The role focuses on deploying scalable ML systems, migrating MLflow to AWS SageMaker, and enforcing MLOps best practices, with collaboration across data science, engineering, and operations in a hybrid London or remote Spain setup. #J-18808-Ljbffr ...

integration. Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignment with business goals. Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimizing disruption. Define and enforce MLOps best practices across model training, serving, monitoring, and deployment. Design and maintain scalable ML infrastructure … e.g., Spark, Kafka). Strong leadership presence, excellent communication, strategic thinking, and empathy with a hands-on execution mindset. Desirable Requirements: Experience with AWS SageMaker or similar managed ML platforms. Background in safety-critical or regulated industries (aerospace, aviation, or similar). Familiarity with Kafka or event-driven architectures ...

Operation, MLOps and Data Engineering to ensure models are scalable, explainable, and production-ready in real-time or near-real-time environments (e.g. AWS SageMaker) Act as a technical authority for advanced AI in merchant risk, influencing architecture, tooling, and long-term modelling strategy. Balance innovation with model governance … modern ML tooling. Strong hands-on experience with: Transformers, LSTM/sequence models Representation learning & embeddings Autoencoders & anomaly detection Experience operationalising models on AWS SageMaker (or equivalent). Strong understanding of model evaluation, explainability, and monitoring in high-risk environments. What we’re looking for – Education: Advanced degree (Master ...

Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements. You will work within SOW-driven teams, delivering production pipelines, security hardening ...

About the role We already run two kinds of agent alongside our teams. AI agents diagnose performance problems and tell people the root cause. Rule-based agents recommend marketing actions to our advertising teams. The ...