At a Glance
- Tasks: Design and deploy cutting-edge machine learning systems for a revolutionary AI assistant.
- Company: Join a stealth AI startup with a mission to transform everyday tasks.
- Benefits: Competitive salary, equity options, and fully remote work.
- Other info: Exciting opportunity for career growth in a dynamic, innovative environment.
- Why this job: Be part of a high-calibre team and shape the future of AI technology.
- Qualifications: Experience in building production ML systems and strong Python skills.
The predicted salary is between 80000 - 180000 £ per year.
I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine 0-1 opportunity to join a small, high-calibre engineering team and build the machine learning systems that will power the product from day one. They're hiring across multiple levels, from Senior through to Staff Machine Learning Engineers.
Key Responsibilities
- Design, build and deploy production machine learning systems
- Own the full ML life cycle, from data preparation through to training, evaluation and inference
- Turn research into reliable, production-ready ML solutions
- Optimise models for performance, latency, scalability and cost
- Build robust training and inference pipelines
- Debug complex production issues using real-world data and signals
- Mentor engineers and help drive engineering standards across the ML function
Key Requirements
- Commercial experience building and deploying production ML systems
- Strong Python software engineering skills
Principal ML Engineer employer: McGregor Boyall
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