5 of 5 Amazon SageMaker Jobs in Manchester

monitoring, and performance optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track More ❯

be fluent in Python - writing readable, testable, and maintainable code comes naturally to you. You'll be comfortable with cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost More ❯

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. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud More ❯

Delivery Consultant - Application Developer, Data & Machine Learning, WWPS ProServe Job ID: Amazon Web Services, Inc. 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 … 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 Amazon More ❯

This includes recruitment activities, management of team financials and ensure delivery is done using approved tools and technologies. Build and maintain the Contact Centre (Amazon Connect) technology and delivery roadmap working with the business stakeholders whilst also ensuring continued focus on Platform Health and stabilisation and building secure, resilient … technical skills to help the team and solve problems at hand. Extensive experience in designing, developing, and deploying solutions using AWS Telephony Framework primarily Amazon Connect , Lex, Lambda Integration, VoiceID, Contact Flows etc. Experience with shared cloud AWS services like EC2, VPC Subnet etc Experience of working in an … Architectural Design It’s a bonus if you have but not essential Knowledge and experience of AWS AI platform integrations and services such as SageMaker, Bedrock AWS Certification (Cloud Practioner/Solution Architect/Software Professional) It’s a bonus if you have but not essential Knowledge and experience More ❯