Software Engineer for Machine Learning Deployment
2 weeks ago
Company Overview
Seldon, a pioneer in machine learning deployment, is accelerating the adoption of AI to solve real-world problems. With a strong focus on responsible and trustworthy ML, we strive to create a future where AI transforms industries.
About the Role
As a Senior Software Engineer, you will play a crucial role in driving our mission forward by delivering industry-leading MLOps solutions. You will help realise our product vision by building production-ready ML models and deploying them at scale across various use cases.
Help design, build, and extend Seldon's core product range of MLOps tools and products
Collaborate with the team to manage the production lifecycle of ML models from initial deployment to testing and updating
Requirements
To be successful in this role, you will need:
A degree or higher level academic background in a scientific or engineering subject or relevant equivalent experience
At least 4+ years of experience in industry
Strong working knowledge of Golang
Experience with Kubernetes and the ecosystem of Cloud Native tools
Bonus Skills
If you have experience with:
Contributions to open source projects
Machine learning tools in production
Data science and machine learning
Explainable AI or machine learning monitoring in production
What We Offer
We offer a competitive salary of £80,000 - £110,000 per annum, depending on experience, plus benefits including:
Flexible hybrid-working arrangement
£1000 per year L&D budget
Share options
28 days annual leave (plus flexible bank holidays)
Enhanced parental leave
AXA private medical insurance
Life Assurance (4x base salary)
Nest Pension scheme (5% employee / 3% employer contribution)
Cycle to work scheme
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