Overview

MLOps Engineer

Cambridge – Hybrid/Remote – MLOps Engineer – Up to £80k
My client specialises in delivering globally deployed national information systems, working with Governments, and national infrastructure suppliers. My client are looking for an experienced MLOps Engineer
Responsibilities:
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Updating and Maintaining Machine Learning models developed by the team
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Design data pipelines and engineer infrastructure for Machine Learning systems
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Identifying and evaluating new technologies to improve performance, maintainability and reliability of ML systems
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Apply software engineering techniques to Machine Learning – CI/CD, Automation, etc
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Facilitate the development and deployment of ‘proof-of-concept’ Machine Learning Models
Key Skills:
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4+ Years of experience in Machine Learning, Deep Learning and Data Science
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2+ years of experience in ML/DL Model deployment
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Develop, build, deploy and maintain ML/DL Pipelines and systems at scale
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Excellent experience with Cloud Computing environments, and the ability to self-manage servers that support AI models
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Parallel Processing in reference to ML and DL model deployment
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Highly skilled in C++, Python (Tensorflow/PyTorch), Keras
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Experience with ‘Go’ language would be nice to have
If you feel you have the relevant experience as stated above, please apply with an updated CV attached and we will be contact for more details