1 to 7 of 7 Permanent Amazon SageMaker Jobs in England with Remote Work Options

to life for business stakeholders and equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding more »

models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to increase efficiency in … years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test more »

engineering practices sch as CI/CD. Experience deploying/monitoring machine learning models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries more »

robust ML frameworks. What experience you’ll need to apply Proven track record in designing and implementing MLOps pipelines. Experience with MLOps frameworks, particularly SageMaker and MLFlow. Strong programming skills in Python, with production environment experience. Expertise in infrastructure management using Terraform/similar. Strong interpersonal skills to engage more »

Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 3 stage interview process more »

team, and the BBC will provide many opportunities for learning as you progress. We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible. Here is the list: • Experience of modern … Python development software engineering best practices • Knowledge of software development principles, design patterns and best practices • Experience with AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift • Experience with relational and non-relational databases, data modelling and design principles. • Test Driven Development and testing practices. • Knowledge of infrastructure more »

with data engineers to manage and optimise data pipelines Implement data governance and data management best practices Work with AWS tools, including Glue and SageMaker, to build and scale ML solutions Ensure the scalability and performance of machine learning solutions Participate in code reviews and contribute to the improvement … development processes Key Skills and Qualifications: Proven experience in machine learning and data engineering Proficiency in Python Experience with AWS services, particularly Glue and SageMaker Strong understanding of data governance and data management principles Ability to work collaboratively in a team environment Excellent problem-solving skills and attention to more »