20 Amazon SageMaker Jobs

delivery models. Formal XP engineering techniques and defining infrastructure-as-code. Desirable Skills & Experience: Experience with AWS AI and OCR services (Textract, Comprehend, Rekognition, SageMaker). Java 11+. Knowledge of OpenShift/Kubernetes/Docker. To apply please email (url removed more »

form on a day-to-day basis, and managing stakeholders. Data Science Platforms - Experience using the latest Data Science platforms (eg Databricks, Dataiku, AzureML, SageMaker) and frameworks (eg Tensorflow, PyTorch, MXNet, scikit-learn) Cloud platforms - Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »

understand this technology quickly. Desirable Some knowledge of (or aptitude to learn quickly) AWS services like Lambda, S3, Step Functions, Simple Family, Code Family, SageMaker, and DMS Some knowledge of (or aptitude to learn quickly) Kafka, real time analytics, NoSQL An understanding of Google Analytics structures (preferably GA4), data more »

and associated packages and libraries from NumPy, pandas, SciPy or NLTK Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc. Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to more »

such as DevOps, platform, cloud, data, ML/data science or even AI engineering. Key skills desired: Cloud platforms: They use Azure ML, AWS Sagemaker, Posit and various other modern tooling Cloud/data/database administration, ideally within Azure (but not essential) Experience with CI/CD or more »

accurate data processing, storage, and analysis. Key Responsibilities: 1. AWS Expertise: • Design, deploy, and maintain data solutions on the AWS platform, leveraging services like Amazon S3, Redshift, and SageMaker. • Optimize AWS infrastructure for performance, scalability, and cost efficiency. 2. Data Pipeline Development: • Develop robust ETL (Extract, Transform, Load) processes more »

such as DevOps, platform, cloud, data, ML/data science or even AI engineering. Key skills desired: Cloud platforms: They use Azure ML, AWS Sagemaker, Posit and various other modern tooling Cloud/data/database administration, ideally within Azure (but not essential) Experience with CI/CD or more »

as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments We provide: Competitive salary, benchmarked against the market and reviewed annually Hybrid and/or flexible work more »

as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments We provide: Competitive salary, benchmarked against the market and reviewed annually Hybrid and/or flexible work more »

have: Experience with containerization (Docker/Kubernetes) Experience working in an agile environment, within a self-organised team Experience with AWS cloud architecture (Redshift, Sagemaker, etc) The rewards we give you: Excellent progression 4 X Life insurance Pension scheme 5% employer contribution Private Healthcare 25 days Holiday (plus Holiday more »

have: Experience with containerization (Docker/Kubernetes) Experience working in an agile environment, within a self-organised team Experience with AWS cloud architecture (Redshift, Sagemaker, etc) The rewards we give you: Excellent progression 4 X Life insurance Pension scheme 5% employer contribution Private Healthcare 25 days Holiday (plus Holiday more »

in building data pipelines (ETL and/or analytical pipelines) ETL Pipeline development experience using Lambda, Glue, S3, Athena, SQL, EC2, Cloudwatch, EventBridge, Redshift, Sagemaker, IAM Expertise in Data Modelling Experience in cleansing, managing and transforming high volume data Strong understanding of the importance Data Observability and how to … in building data pipelines (ETL and/or analytical pipelines) ETL Pipeline development experience using Lambda, Glue, S3, Athena, SQL, EC2, Cloudwatch, EventBridge, Redshift, Sagemaker, IAM Expertise in Data Modelling Experience in cleansing, managing and transforming high volume data Strong understanding of the importance Data Observability and how to more »

team member. Technology Large Language Models (LLMs) from third-party vendors (some of them not yet released to the public AWS services such as Sagemaker, ECS and Lambda HuggingFace Transformers and scikit-learn Requirements You are comfortable contributing in all areas of the Machine Learning lifecycle, from requirements gathering more »

run across multiple delivery teams and streams Modern Data Platforms utilising technologies such as: Apache Kafka, Cassandra, Spark, RDBMS, Cloud specific data offerings (eg SageMaker etc). In return, we’ll give you… A highly competitive basic salary 5% matched contributory pension Private Health Insurance Life Insurance 25 days more »

position, you will be responsible for administrating and developing a new data science and cloud platform incorporating tools and systems such as Dataiku, Alteryx, Sagemaker, POSIT and the Azure ML Platform. In the future Dataiku will be the main tool of choice, experience in this area is desirable however more »

Senior Insights & Reporting Manager, EU DSP Trust & Safety At the Amazon Logistics EU Deliver Service Partners (DSP) Trust & Safety team, we own all EU wide initiatives in Driver and DSPescalations. Our team provides the global Amazon Logistics community with the knowledge, the right short and long-term strategies … business insights PREFERRED QUALIFICATIONS Experience constructing or managing data pipelines, or knowledge of ETL processes. Experience with AWS cloud products such as Redshift, S3, SageMaker, EC2, IAM, Lambda. Professional experience in supply chain, logistics, parcel delivery, and/or e-commerce. Amazon is an equal opportunities employer. We more »

SENIOR DATA SCIENTIST Join the META of the Cyber Security World! 🚀 🌎 🚀 Be part of the fastest growing Cyber Security Disruptor in the world A chance to work amongst inspirational leaders and peers in applying ML & AI in defensive and offensive more »

scientists and software developers to deploy and maintain machine learning models on cloud platforms (AWS and Azure). - Work with cloud resources, including AWS SageMaker and Azure Machine Learning, to facilitate model training and inference. - Manage and optimize containerized applications using Amazon EKS and other container orchestration tools. … or equivalent work experience). - Proficiency in Python programming is essential. - Strong understanding of AWS and Azure cloud services, with hands-on experience in SageMaker, EKS, and distributed computing. - Knowledge of containerization and container orchestration tools such as Docker and Kubernetes. - Familiarity with backend development is a bonus. - Excellent more »

AI Engineer Location - London - Hybrid Salary - Up to £140,000 + Share Options + Benefits Reporting into - CTO Who we are: My client are a payment tech company that are on a mission to create the most empowering and flexible more »

AI Engineer Location - London - Hybrid Salary - Up to £140,000 + Share Options + Benefits Reporting into - CTO Who we are: My client are a payment tech company that are on a mission to create the most empowering and flexible more »