26 to 44 of 44 Amazon SageMaker Jobs

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 ...

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 ...

Sales, AI, RAG, Machine Learning, Data and AI standards, Large Language Models, Generative AI, Delivery, AI Propositions, Data Solutions, Bid Response, Technical, AWS Sagemaker, AWS Bedrock, Azure AI Platform/Machine Learning, Jupyter, ChatGPT, Claude, Llama, and OpenAI. We have an extremely exciting and rare opportunity for an experienced ...

tokenization etc) Strong knowledge of API/Microservices , Async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, queues Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud. Experience of Building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn ...

Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch , and FastAPI . Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances. RAG Expertise: Proven experience building RAG systems; experience with Graph-RAG (e.g., Neo4j ...

designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs, microservices, and event ...

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 ...

work into practical, business-relevant outcomes Highly structured and methodical way of working with clear communication, documentation etc. Highly Desirable Familiarity with AWS services (Sagemaker, ECS, Fargate) and cloud-deployed ML pipelines Experience with GPU-accelerated data processing Experience building production-grade unsupervised learning on medium-dimensional structured data. ...

intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered systems via AWS Bedrock (including Claude integration) Build RAG pipelines combining structured and unstructured data Develop evaluation frameworks for accuracy, bias … powered decision layers into enterprise processes Design human-in-the-loop feedback systems to improve performance ☁️ AWS ML Infrastructure Deploy and manage models using SageMaker (training, endpoints, pipelines) Leverage Bedrock for foundation model access Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement ...

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 ...

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 ...

Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/GitHub/GitLab) Secure landing zones, policy-driven cloud governance, FinOps Vector, Data & Integration … Azure-native sources to enable analytics and GenAI readiness. Cross-Cloud FS AI Enablement Led design patterns portable across Azure + AWS Bedrock/SageMaker for regulated workloads. Developed controls for data boundary enforcement & model validation pipelines. GenAI & Cloud Solutions Architect Accelerated AI value from PoC pilot scaled capability ...

governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift … closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working ...

governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift … closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working ...

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 ...