51 to 75 of 122 Amazon SageMaker Jobs in England

honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks What will you get in return? Everyone’s different. That’s why at Zurich, we offer a wide ...

Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like Databricks, Snowflake, SageMaker, or Vertex. Agent lifecycle management, observability, and governance frameworks.Agentforce & Salesforce Platform Deep architectural understanding of how Data and AI are activated within Salesforce — including ...

Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research or Kaggle competition experience Domain depth in financial services, retail or healthcare Send your CV and a short ...

Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch - AWS Quick - AWS Sagemaker (Unified Studio and AI) - Power BI #J-18808-Ljbffr ...

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 ...

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 ...

enhance your day-to-day work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices Streaming and batch data systems (e.g. ...

Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls ...

Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents … Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching and mentoring other product managers and setting a high bar for execution. Experience operating at scale in highly available, secure ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

Infrastructure monitoring and alerting Performance monitoring Log analysis and troubleshooting Service availability monitoring Root cause analysis Desirable skills and experience Cloud & Platform Technologies AWS SageMaker Python scripting and automation Container orchestration platforms Infrastructure security and hardening Cloud networking and connectivity Application Support Knowledge C# .NET JavaScript React REST APIs ...

sequence model.You've taken a model through its full lifecycle before, from training through to serving it in production.You work with Python, PyTorch, SageMaker, and Airflow day to day.You default to owning problems end to end rather than waiting to be told what's next, and you're comfortable ...

Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create the conditions ...

model. You've taken a model through its full lifecycle before, from training through to serving it in production. You work with Python, PyTorch, SageMaker, and Airflow day to day. You default to owning problems end to end rather than waiting to be told what's next ...

experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data Fabric principles (applied pragmatically ...

proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. ...

Software Development Engineer, NextGen Security Automation Job ID: 2902838 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

platforms (e.g. WSO2, RADIUS). Background in regulated, security-conscious, or public sector environments. Desirable TOGAF or AWS Certified Solutions Architect (Professional). AWS SageMaker or ML/analytics tooling. £650.00 - £680.00/day #J-18808-Ljbffr ...

large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

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 ...

Компания Boehringer Ingelheim ищет специалиста по облачной инфраструктуре для проектирования и поддержки AWS-решений под ML/AI задачи. Вы будете работать над SageMaker, IAM, сетями и хранением данных, настраивать IaC и обеспечивать соответствие требованиям безопасности и корпоративной архитектуре. Основные обязанности включают мониторинг производительности, планирование ресурсов, внедрение MLOps-процессов ...

Platform Engineer to own the productionization and scaling of the machine learning stack. You will manage platform infrastructure, model training and inference on AWS SageMaker, and ensure reproducible, observable pipelines across hundreds of live hospitals. You will collaborate with ML scientists and engineers to ship reliable services, monitor drift ...

large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services #J-18808-Ljbffr ...