At a Glance
- Tasks: Build and scale machine learning infrastructure for advanced AI systems.
- Company: Innovative robotics company at the forefront of AI technology.
- Benefits: Competitive salary, on-site work, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to pushing the boundaries of AI.
- Why this job: Shape the future of AI and robotics while working with cutting-edge technology.
- Qualifications: Experience in machine learning infrastructure and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location: Bristol (On-Site)
Job Type: Full-Time, Permanent
Salary: Dependent on Experience (DOE)
The Opportunity
Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale.
The Role
You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems.
Key Responsibilities
- Build and maintain scalable ML infrastructure
- Develop containerised training environments
- Manage cloud GPU orchestration and distributed training
- Implement experiment tracking and model registries
