Developer Advocate at Seldon
London, GB
Following a year of rapid growth in our open-source ML projects and winning top tier customers across sectors to support strategic AI platform initiatives, Seldon is expanding rapidly! We are looking for a Machine Learning Engineer to join our Solutions Engineering function and help us build the future of production machine learning. 
About Seldon
Seldon is a London based scale-up that builds open source and enterprise machine learning frameworks that power massive scale deployments of production AI systems. Our open source frameworks benefits from over 2,000,000 installations, and power our enterprise product Seldon Deploy, which is currently being used by some of the leading global organisations across industries such as automotive, pharma, finance, etc.
About the role
Your role at Seldon will primarily involve:
  • Promote discussion of MLOPs in the wider ML community and Seldon’s role within it
  • Work with the Deploy Product Manager to help understand customers requirements for MLOPs
  • Engage with technical Slack communities are well managed
  • Write technical docs, blogs, examples, and website have up-to-date information liaising with internal stakeholders.
  • Contribute to conferences and trade shows engagements
  • Lead workshops, webinars on MLOPs and Seldon Technologies
  • Contributing to global technology conferences
  • Growing within a scaling startup crafting a role of your own 🚀

Required skills:
  • A degree or higher level academic background in a scientific or engineering subject.
  • Strong computer science foundations.
  • Familiarity with linux based development.
  • Experience with Kubernetes and the ecosystem of Cloud Native tools.
  • Experience maintaining / deploying machine learning models in production.
  • 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.
  • Tier 2 visa support.
  • Flexible work-from-home policy.
  • Cycle To Work Scheme. 
About our tech stack
Some of our high profile technical projects:
  • We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem
  • We built and maintain the black box model explainability tool Alibi
  • We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project
  • We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis 
  • We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving
  • We run the largest Tensorflow meetup in London
  • And much more 🚀

Some of the technologies we use in our day-to-day:

Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.