Machine Learning Operations (MLOPs) - Contract

THE COMPANY:

As a ML Ops Engineer you will help to develop a cloud infrastructure in Azure for Machine Learning. You will sit in a new business unit and help set the global footprint of how other business units in the company will operate. As a ML Ops Engineer you will be helping build out the infrastructure for advanced NLP based projects.

THE ROLE:

As a ML Ops Engineer you will help to develop an infrastructure in order for Machine Learning models to be deployed. As a ML Ops Engineer you must have expertise in Python for programming. As a ML Ops Engineer you will be working heavily in Python and should have exposure to libraries such as TensorFlow and PyTorch - as you will be ensuring the code id production ready. As a ML Ops Engineer part of your role will involve productionising ML models and therefore you must have good experience doing this. A large part of the role will involve develop the infrastructure behind the ML models and this will be based exclusively on GCP. Therefore as a ML Ops Engineer you must have extensive experience within GCP using services such as ML flow, Apache beam. If you have experience with Seldon for deploying ML models this is highly advantageous. As a ML Ops Engineer you must also be strong on Software fundamentals as you will be helping to bring these into the team. This may include TDD but if you have experience with Extreme Programming this is highly valuable as you will be working on the infrastructure side of things. Any exposure to Jenkins for CI/CD or Terraform as IaC is also useful. As a ML Ops Engineer you will be doing a mix of both hands on work and architectural design so must be comfortable helping to create processes and frameworks. You will also be involved in some business facing responsible so again any prior experience in stakeholder management is highly valuable.

YOUR SKILLS AND EXPERIENCE:

Extensive experience programming in Python and a good understanding of ML libraries such as TensorFlow & Pytorch

Expertise in Azure and/or GCP cloud infrastructure

Experience with a Machine Learning platform - Seldon, Kubeflow etc - Seldon preferred.

Extensive experience with Kubernetes (AKS, GKE)

Strong in Software Engineering fundamentals; TDD

Good knowledge of CI/CD & DevOps principles

Led architectural design alongside implementation

The Contract

This is a long term contract opportunity working for a major UK client, the project is set out for 3 years and the initial contract would be until the end of 2021. This contract has been deemed Inside IR35 and will need to be operated via an umbrella company. The day rate on offer is up to £800.day.