126 to 150 of 210 Amazon SageMaker Jobs in London

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

Docker, Git, cloud networking, and 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 Elastic Search is a significant More ❯

CloudFormation or Terraform Monitoring and 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 end-to-end ML workflows More ❯

of our journey as we build out the team. We're migrating to Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll be responsible for designing and implementing the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you'll be More ❯

Sr Worldwide Specialist Solutions Architect - GenAI, Amazon SageMaker Job ID: 2858333 | AWS EMEA SARL (UK Branch) Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us! At Amazon … ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within AWS, we’re … knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly More ❯

Sr. Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Korea LLC Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … candidates to apply. If your 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 why customers from the most … with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the More ❯

What you’ll bring: Proven experience with Python and SQL Strong expertise in AI, OpenAI, and LLMs A track record in machine learning modelling Experience with tools such as SageMaker and DataRobot A background in finance or another regulated industry You’ll be instrumental in building greenfield AI products from the ground up, helping the business stay at the More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder - with a strong sense of how More ❯

complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). Experience with More ❯

standards (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools such as MLflow, Azure ML, SageMaker, Databricks, Python. Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering. Experience with cloud-native AI environments and SaaS AI More ❯

systems, management products, or business 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 (iOS), Kotlin (Android). Back More ❯

systems, management products, or business 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 (iOS), Kotlin (Android) or Back More ❯

multi-AZ deployments, scaling patterns, and CI/CD workflows . Professional communicator — able to distill complex ideas into actionable, business-aligned insights. Bonus Points for AWS Bedrock or SageMaker experience Exposure to LLM-backed applications or AI/ML pipelines Experience working with influencer-led SaaS or personal-brand founders Familiarity with AppSec , compliance-light design , and high More ❯

libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, Vertex AI, GCP pipelines ) Strong data engineering instincts - including building and optimising ETL processes for large, structured and unstructured datasets Exceptional collaboration skills with the ability to influence both More ❯

understanding of AI, and AI ethics An understanding of data safety in the use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Other Requirements SC cleared or 5 years uninterrupted residency in the UK and be prepared to go through More ❯

systems, management products, or business 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 (iOS), Kotlin (Android) Back-end More ❯

Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face More ❯

expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication skills. Technical background in AI/ML, data science, or software engineering Experience with cloud-native AI environments and SaaS More ❯

React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

learn from and mentor some of the brightest minds and friendliest people in the industry! You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. All our decisioning systems are built in-house, meaning that we have nearly More ❯

Job Description: DevOps Engineer Salary:£56,100-£60,000 dependant on experience Location status:Hybrid working Location:Angel Court, London or Bupa Place, Salford Contract type:Permanent Shift pattern:Full-time, 37.5 hours per week We make health happen At More ❯

Data Analyst at Paysafe (Hybrid, London) Paysafe is seeking a highly skilled Data Analyst to join their London-based team, with the flexibility of hybrid work. This role offers an exciting opportunity to leverage your excellent eye for detail and More ❯

Business Partner Insight (Network Health) Analyst - Fixed Term Contract, Amazon Logistics At Amazon, we strive to be the most Customer-centric company on earth. We are building a world-class last mile operation, complemented by Delivery Service Partners (DSP). Amazon collaborates directly with DSPs to deliver to our customers. We are seeking an Insight Analyst to … Develop and maintain performance dashboards with key metrics for review with senior leadership and teams. Onboard data to our warehouse by building automated pipelines using Python in Lambda or Sagemaker to invoke API calls. Utilize statistical techniques for deep dives, generate actionable insights, and communicate recommendations to leadership. Innovate data analysis methods to identify trends and gaps in our … Excellent communication skills. Experience working with multiple teams to monitor performance and develop actionable insights. Additional Skills Experience analyzing and presenting results to senior leadership. AWS Cloud Practitioner certification. Amazon is an equal opportunity employer committed to diversity. We value your passion to discover, invent, and build. Protecting your privacy and data security is our priority. For accommodations, please More ❯

technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. … AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in … their cloud services. The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be More ❯

Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: 2981201 | Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to … decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing More ❯