26 to 44 of 44 Amazon SageMaker Jobs in the UK

responsibilities: Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science ...

pipelines for training, validation and deployment. Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints. Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure. Applying strong engineering standards across cloud, DevOps and automation practices. Contributing to computer vision and broader ...

concepts clearly and effectively to a range of audiences. Experience with model governance, documentation, and deployment best practices. Experience with cloud environments (e.g., AWS Sagemaker). Experience with collaborative development tools (e.g., Git, JIRA) is a plus. Prior experience in financial services, banking, or credit risk modelling is beneficial. ...

developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders. The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Responsibilities Designing, building, and maintaining a Data Warehouse and related applications. Analysing, developing, delivering ...

developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders. The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Responsibilities Designing, building, and maintaining a Data Warehouse and related applications. Analysing, developing, delivering ...

endpoints Key details: • Salary: £80,000–£110,000 + discretionary bonus • Working: Hybrid, 3 days per week in London • Stack: Python, MLflow, AWS (SageMaker), CDK, Docker • Visa: Cannot sponsor Interested? Please apply below. ...

pace of a scale-up. Requirements 2+ years MLOps experience Strong Python, ML engineering and deployment foundations. Hands-on experience with AWS and SageMaker (essential). MLOps best practice: MLflow, CI/CD for ML, monitoring, reproducibility. Cloud and DevOps knowledge: AWS, Docker, IaC (CDK preferred). Experience deploying ...

data processing, and feature engineering experience. Strong statistical and analytical capabilities. Experience in start-up or scale-up environments. Desirable MLOps tools (MLflow, Kubeflow, Sagemaker, etc.) Experience in PropTech or property data. Cloud experience (AWS/GCP/Azure). Docker/Kubernetes, CI/CD, and event-driven ...

translate business requirements into technical specifications and deliver impactful solutions. • Develop and maintain robust and scalable machine learning pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies. • Stay abreast of the latest advancements in computer vision and machine learning research and explore new opportunities … their practical applications. • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch). • Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc. • Experience with cloud-native development and deployment methodologies. • Ability to work independently and as part of a collaborative team. • A strong ...

matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve. What You'll Do Architect Decision Systems: Design innovative AI/ML models that … solutions to stakeholders through rigorous evaluation frameworks. Your Technical Toolkit Advanced Mastery: Data Science & Machine Learning. Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker . Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) . Engineering Rigor: Solid understanding of the Software Development Life Cycle ...

pipeline *Real time micro batches implementation (5 minutes, hourly, daily) *Mongo/Atlas as alternative implementation (we might land with S3 instead) *SageMakerMLOps/SageMaker Training/SM Model Deployment *Pytorch ...

responsibilities: Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines click apply for full job details ...

pipeline Real time micro batches implementation (5 minutes, hourly, daily) Mongo/Atlas as alternative implementation (we might land with S3 instead) SageMakerMLOps/SageMaker Training/SM Model Deployment Pytorch JBG81_UKTJ click apply for full job details ...

best practices for AI/ML implementation and data analysis. Job Requirements: Advanced proficiency in Machine Learning and Data Science. Intermediate proficiency in Amazon Sagemaker. Experience with Retrieval-Augmented Generation, Software Development Life Cycle, and Model Context Protocol. Strong problem-solving skills and the ability to contribute ...

machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build … tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance and manage retraining over time Collaborate with Data Engineers, BI Developers, and Analysts ...

Company My client are a fast-growing startup revolutionising the hospitality industry by connecting businesses with a flexible, student-powered workforce. The platform enables partners—from local pubs to multinational chains—to optimise staffing in ...

C++. The technology stack you will work with includes Linux, NVIDIA DeepStream, NVIDIA Jetson, Docker, Python, C++, GStreamer, PostgresSQL, Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes … Linux/Unix shell scripting Highly Desirable Use of Continuous Integration products (Jenkins) Use of containerisation technologies Docker Stack/Kubernetes AWS and AWS SageMaker experience What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy ...

Join Ligentia! We’re on a mission to move away from fragmented, manual reporting and create a standardised, global "single source of truth" for customer data. We’re looking for two adaptable and dynamic analysts ...

week (Central London, UK) 🗓️ Start: 1st week of March or latest by 2nd week Key Skills: • Strong hands‐on experience in Databricks MLOps & AWS SageMaker MLOps • Building & operationalizing ML pipelines (Workflows/Jobs, MLflow, Delta Lake) • Model registry, tracking, batch & real‐time deployment patterns • SageMaker Pipelines (training, evaluation ...