Remote ModelOps Jobs in the UK

4 of 4 Remote ModelOps Jobs in the UK

Machine Learning Engineer

City of London, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor More ❯
Posted:

Machine Learning Consultant

City Of London, England, United Kingdom
Hybrid / WFH Options
CipherTek Recruitment
AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor More ❯
Posted:

(Python Based) Senior Research Engineer

London, United Kingdom
Hybrid / WFH Options
Thomas Reuters
CD, DevOps, and SDLC concepts in development of an application. Preferred Skills and Experience: Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Sr. Machine Learning Engineer

London, England, United Kingdom
Hybrid / WFH Options
Zapier
how they differ from classic retrieval methods and databases. Experience with reranking and knowledge graphs is a plus. You have a strong engineering sense. You’re familiar with automating ModelOps/DataOps processes which include creating pipelines and understand how CI/CD processes work. You’re a stellar data wrangler and have experience cleaning and structuring data for modeling … discrete topics we expect to see a deep competency in specifically for ML Engineers: Strong background in statistics. ML techniques for deep data mining and exploration. Automating DevOps/ModelOps/DataOps processes with pipelines and CI/CD. Data wrangling and building data pipelines. How to Apply At Zapier, we believe that diverse perspectives and experiences make us better More ❯
Posted: