12 of 12 Permanent Amazon SageMaker Jobs in the North of England

scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience ...

team. Experience with at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with ...

technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics ...

deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning ...

data, software, or machine learning-focused pipelines, with an understanding of monitoring, reliability, security, and operational support. DESIRABLE Experience with AWS services such as SageMaker, S3, EC2, Lambda, IAM, VPC, KMS, or Bedrock. Experience developing or contributing to scalable architectures for data-driven products or services. Experience working with ...

engineering environment. Experience deploying and managing machine learning model deployments (MLOps) on appropriate services. Examples include (but not limited to) Azure Machine Learning, AWS Sagemaker, Databricks or Snowflake. Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalent. A drive ...

proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. ...

/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/… DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management ...

production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate 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 ...

William Hill PLC is seeking a Cloud Engineer for a 3-6 month Fixed Term Contract based in Leeds. The successful candidate will work within a newly formed team to help build and evolve Evoke ...

improving the core infrastructure that powers Evoke’s AI and Machine Learning platforms* Developing expertise in AWS AI technologies, including services such as Amazon Bedrock and SageMaker* Providing technical support and operational ownership for Evoke’s core AI platforms and services* Contributing to platform reliability, observability, automation … experience in a similar Cloud, Platform, or Infrastructure Engineering role* Strong expertise in AWS cloud technologies, including AI and Machine Learning services such as Amazon Bedrock and SageMaker* Solid understanding of Agentic AI concepts and supporting technologies, including platforms such as AWS AgentCore* Strong knowledge of Kubernetes ...

Amazon Web Services (AWS) is seeking a Senior AI/ML Consultant in Professional Services to lead the delivery of enterprise AI/ML solutions and shape technical strategy for customers undergoing AI transformation. You will own end-to-end engagements, architect advanced solutions on AWS Bedrock and SageMaker ...