Naukrijobs UK
Register
London Jobs
Manchester Jobs
Liverpool Jobs
Nottingham Jobs
Birmingham Jobs
Cambridge Jobs
Glasgow Jobs
Bristol Jobs
Wales Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

MLOps Engineer

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

pivotal role in connecting the data science and engineering teams; delivering large and impactful projects.If you’re looking for a varied role where no two days are the same, then this could be the perfect role for you. This is a unique opportunity to be involved in a range of different and innovative projects; exposing you to new industries.Key Responsibilities:

  • Lead the development and deployment of end-to-end Ops pipelines supporting the entire ML lifecycle.
  • Drive initiatives for CI/CD automation, enhancing development efficiency.
  • Monitor and maintain MLOps systems and cloud environments
  • Utilise container-based tools (Docker, Kubernetes, Terraform) for agile cloud service management.
  • Be the main point of contact, presenting technical work effectively to multiple internal teams including the data science and engineering teams.
Experience Required:
  • Experience on supporting MLOps in a cloud environment (either AWS, GCP or Azure) and building CI/CD pipelines.
  • Understanding of Docker container, Kubernetes ad Jenkins.
  • Experience with MLOps Frameworks such as MLFlow, DataRobot, Kubeflow etc.
  • Python or Bash programming experience and knowledge of frameworks such as PyTorch, Tensorflow, Keras etc.
Package:
  • Up to £100,000
  • Hybrid working – office based in London
  • Industry leading benefits
How to Apply:If you’re interested, submit your CV and Daniel Akanni will be in contact with you to discuss the next steps.

APPLY NOW

MLOps Engineer Related Jobs

© 2019 Naukrijobs All Rights Reserved