Machine Learning Engineer
4 weeks ago
As a Machine Learning Engineer at WiMLDS Inc, you will work in our Applied AI consultancy, serving clients across various sectors including Defence, Government, Life Sciences, Energy, Banking, and Retail. You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning to help our customers solve high-impact problems.
Key Responsibilities:
* Design and develop software and infrastructure that leverages machine learning
* Create reusable tools to enable better delivery of ML systems
* Work with customers to understand their needs
* Collaborate with data scientists and engineers to develop best practices and new technologies
* Implement and develop Faculty's view on what it means to operationalise ML software
Requirements:
* Understanding of the full machine learning lifecycle
* Experience working with data scientists to deploy trained machine learning models into production environments
* Familiarity with common frameworks such as Scikit-learn, TensorFlow, or PyTorch
* Technical experience of cloud architecture, security, deployment, and open-source tools
* Demonstrable experience with containers and specifically Docker and Kubernetes
* An understanding of probability and statistics and familiarity with common supervised and unsupervised learning techniques
* Outstanding verbal and written communication
* Excitement about working in a dynamic role with the autonomy and freedom to take ownership of problems and see them through to execution
About Us:
WiMLDS Inc is Europe's leading applied AI company, providing industry-leading software and bespoke AI consultancy to over 300 global customers. We have a Fellowship programme, training academics to become commercial data scientists, and we work with clients across various sectors to help them reap the rewards of AI responsibly.
What We're Looking For:
We are looking for individuals who share our principles and excitement to help our customers responsibly. If you have a keen interest and working knowledge of operationalised machine learning, and a desire to take cutting-edge ML applications into the real world, we want to hear from you.
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