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Cisco Machine Learning Software Engineer United Kingdom, England, London 729749690
11.03.2025
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You will be joining a world-class team of Machine Learning Engineers and Software Engineers, contributing to the development of high-performance, production-grade software.
Your Impact
In this role, you will collaborate closely with Machine Learning Engineers to transform ML prototypes into scalable, maintainable, and efficient code. As a Software Engineer, you will also be responsible for identifying, developing, and modularizing reusable components, optimizing software architectures, and streamlining the AI development lifecycle to enhance efficiency, scalability, and maintainability across multiple projects.
You will:
- Write high-quality, production-ready code to tackle complex challenges using AI, shaping the future of intelligent applications.
- Champion best engineering practices, mentoring peers and driving technical excellence across the team.
- Identify and develop reusable tools and components that enhance efficiency across multiple projects.
- Design infrastructure and tooling that streamline model interactions, making AI integration seamless and scalable.
- Maintain and improve the stability, performance, and maintainability of the codebase, ensuring its success over the long run.
Minimum Requirements
- 3+ years experience with a good knowledge of Python
- An understanding of common ML concepts, required tooling and most used frameworks (i.e, PyTorch)
- Commitment to producing and maintaining high quality code with lots of “ilities”(maintainability, testability, reusability etc.)
- Very strong written and verbal communication skills, with the ability to communicate effectively with a range of audiences
- The ability to manage own workload, and that of a team, to work effectively and to deadlines
Preferred Requirements
- Experience with Rust/Go
- Experience in working with dispersed teams and collaborating asynchronously to successful complete tasks and project
- Understanding that testing, deploying and maintaining features is as important as developing them
- Strong and demonstrable understanding of Agile and DevOps methodology
- An enthusiasm for working with and developing knowledge of emerging technologies
- Experience with cloud and containerisation technologies (AWS, Docker, Kubernetes etc)
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