Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
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 »
Luton, England, United Kingdom Hybrid / WFH Options
Ventula Consulting
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 »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
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 AmazonSagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test more »
BS1, Bristol, City of Bristol, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
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 »