2 of 2 Amazon SageMaker Jobs in the East of England

pipelines and ETL processes using state-of-the-art tools Skilled at architecting and managing secure, scalable AWS environments and working experience in the data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, Amazon Bedrock (including LLM hosting and management). Expertise in workflow orchestration tools such as Apache Airflow Experience implementing DataOps best practices and tooling, including DataOps.Live Advanced skills in data storage and management platforms like Snowflake Ability to deliver insightful analytics via business intelligence tools such as Power BI Full-stack development experience: backend (Node.js, Python), frontend (ReactJS … Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.) Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker Advanced proficiency in Python and related AI/ML productivity libraries Expertise in SQL and NoSQL database technologies Skills Python AWS Gen AI Job Title: Technical Lead Location: Cambridge More ❯

with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from More ❯