76 to 100 of 243 Permanent Amazon SageMaker Jobs

APIs, API Gateway, and Spring Boot for application integrations AI/ML Integration: Implementing AI/ML integration layers connecting applications to services like Amazon Bedrock, SageMaker, and OpenAI APIs for intelligent features Event-Driven Architecture: Building event-driven architectures using Kafka/MSK, AWS EventBridge … work status. We are unfortunately unable to offer sponsorship Desirable AWS serverless services: Lambda, API Gateway, DynamoDB, EventBridge, Step Functions AI/ML platforms: Amazon Bedrock, SageMaker, OpenAI APIs, or similar services Event-driven architecture: Messaging systems and asynchronous processing (Kafka/SQS) Infrastructure as Code: CloudFormation ...

Turn machine learning engineer/scientist models into production services meeting latency, cost, and reliability targets • Build and maintain SageMaker training, processing, and inference workloads • Build pipelines that orchestrate SageMaker workloads • Make training runs reproducible and configuration-driven so results can be rebuilt from code • Build monitoring … Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training ...

Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine learning model development and deployment lifecycle Strong analytical and problem-solving abilities ...

Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine learning model development and deployment lifecycle Strong analytical and problem-solving abilities ...

strong positive signal. Hands-on production experience with graph neural networks, anomaly detection, or behavioural biometrics, beyond prototyping or fine-tuning. Familiarity with AWS (SageMaker, Lambda, S3, Athena) and CI/CD practices. Experience mentoring or technically guiding other data scientists. Please include a CV in English. Curious ...

data engineering development experience You may have experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Specific tooling - Databricks Strong Data related programming skills SQL/Python/Spark Experience of industrialising ...

frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human ...

Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.Hands-on experience with agentic frameworks (LangChain, LangGraph).Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment banking operations.Join us to help shape the future of Market Operations through innovative ...

prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands‐on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join us to help shape the future of Market Operations through ...

prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join us to help shape the future of Market Operations through ...

SkillsExperience with Cloud services, Infrastructure as Code (IaC) and containerized application developmentFamiliarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and BedrockPractical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)Experience working on AIML systems and/or prior ...

related field Bonus Points Public writing, talks or threads about building with AI MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker) Streaming or batch pipeline experience (Spark, Airflow, Beam, Glue) Healthcare or life sciences exposure AWS Professional or other relevant certifications What We Offer At Newpage ...

frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human ...

learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodelsExperience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scalingExperience integrating human ...

video, audio) ML pipelines.* Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).* Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).* Proficiency with Linux environments and cloud platforms (e.g. ...

Tableau, Power BI) Infrastructure as Code experience (Terraform/CloudFormation) Industry experience relevant to your business Exposure to streaming data (Kinesis) or ML pipelines (SageMaker) experince in financial domain OtherLanguages English: C2 Proficient Seniority Senior London, United Kingdom of Great Britain and Northern Ireland Req. VR-124688 Strategy & Design ...

Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where the market ...

data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.Experience with AWS Bedrock, SageMaker (or equivalent managed ML/GenAI platforms), ECS and deployment patterns for scalable inference.Experience with developer productivity tooling such as GitHub Copilot and Claude ...

with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration tools. Familiarity with enterprise AI platforms — Azure AI, AWS SageMaker, Google Vertex AI, Databricks Mosaic AI, NVIDIA NIM, or similar. A passion for helping customers solve complex business problems through modern data engineering ...

training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector ...

2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering ...

2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering ...

engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker, Lambda, ECS/EKS, etc.) Drive AI innovation , POCs, and enterprise transformation initiatives Collaborate with cross-functional teams and mentor others 7+ years software ...

effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing. Условия No conditions specified #J ...

data, software, or machine learning-focused pipelines, with an understanding of monitoring, reliability, security, and operational support. DESIRABLE • Experience with AWS services such as SageMaker, S3, EC2, Lambda, IAM, VPC, KMS, or Bedrock. • Experience developing or contributing to scalable architectures for data-driven products or services. • Experience working with ...