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Machine Learning Deployment Platform

Front-end Engineer

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Seldon is looking for a Front-end Engineer to join us. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core and Alibi. We also contribute to open source projects under the Kubeflow umbrella including KFServing.

Your role at Seldon would be:
Building visualisation of our enterprise product.
Custom visualisation in a web browser using SVGs and Canvas.
Translate wireframes into fully functional, client facing user interfaces.
Planning and arranging meetings and contributing towards the roadmap.
Code maintenance and bug fixes.
Provide documentation and contribute towards their improvements.

Desired skills:
Experience in graphing data in a web browser.
Experience with Canvas and SVG API.
Experience using React, Material UI, transpilers such as Babel and Webpack.
Experience in JavaScript ES6 and greater.
Knowledge on machine learning would be a bonus.
Git and GitHub.
Strong communication skills.
Benchmarking and web optimisation.

Share options to align you with the long-term success of the company.
Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth.
Access to discounted lunches, gyms, shopping and cinema tickets.
Healthcare benefits.
Mentoring opportunities.
Remote working available.


Job type
Visa sponsorship
Not Available
2+ years
Hiring contact

Seldon at a glance

Machine Learning Deployment Platform

Seldon focuses on Open Source, Machine Learning, Artificial Intelligence, and Predictive Analytics. Their company has offices in London. They have a small team that's between 11-50 employees.

You can view their website at https://www.seldon.io or find them on Twitter, Facebook, and LinkedIn.