right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend More ❯
right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend More ❯
and colleagues from the Data Science chapter at Lyst. Our main tools include Python with frameworks like SKLearn, TensorFlow, and PyTorch, operating within AWS Sagemaker where possible. We emphasize clean, documented, well-tested, and reviewed code, supported by our tooling and culture. This role offers a hands-on, high More ❯
applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI More ❯
Hook, Hampshire, United Kingdom Hybrid / WFH Options
360 Resourcing Solutions
grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong More ❯
B2B and Residential Volume Forecasting models, optimizing performance and minimizing business costs in our new cloud-based system, utilising data science tools such as AmazonSageMaker and Python/R. You will work collaboratively with a variety of teams across the wider WMS business to ensure best practice More ❯
working with large data sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and ML as well as research and cleansing of data sets. More ❯
working with large data sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and ML as well as research and cleansing of data sets. More ❯
performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI/CD - Automate More ❯
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. LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek. Bonus Points: Experience with Airbyte and More ❯
tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯
tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯
tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯
common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana. More ❯
common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana. More ❯
data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/ More ❯
Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯
Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯
Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯
through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices More ❯
DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … and frameworks such as PyTorch, TensorFlow, and practical experience in solving complex problems in an applied environment - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, as well as experience with machine learning, deep learning, NLP, generative AI, distributed training, and model hosting AmazonMore ❯
Delivery Practice Manager - Data Analytics, ASEAN Professional Services Job ID: Amazon Web Services Singapore Private Limited The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In … the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's More ❯
