ML Ops Engineer

MLOps Engineer
 
Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries and has a reach of 600 million users, is recruiting an MLOps Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM / Generative AI.
Our client is paying £400 PD Outside IR 35 to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London.
 
Main Accountabilities:

Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models
Take ownership of the design, deployment, and maintenance of machine learning models
Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large language models, and AI-related services 
Essential skills:

Previous experience working on online Chat or Chatbors, particular voice, is a must-have.
Strong recent hands-on capabilities in Python are a must-have.
Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must.
Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have.
An interest and understanding of embeddings, generative IA, and its applications is a must-have 
Desireable:

Any of Terraform, Helm, Kubernetes, Postgres would be advantageous.
Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI.
A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. 
The two-stage remote interview process with the capacity to start ASAP