At a Glance
- Tasks: Design and maintain scalable cloud infrastructure for cutting-edge ML workloads.
- Company: Pioneering tech startup transforming 3D content creation with AI.
- Benefits: Competitive salary, equity, hybrid work, and a chance to shape the future.
- Other info: Dynamic startup environment with opportunities for real impact and growth.
- Why this job: Join a visionary team at the forefront of AI and spatial computing.
- Qualifications: 6+ years in cloud engineering with strong skills in AWS, GCP, or Azure.
The predicted salary is between 140000 - 160000 £ per year.
Overview
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Salary: £140,000 - £160,000 + Equity
Location: London - Hybrid (3-5 days a week)
Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with 3D content.
The role is to design and maintain scalable infrastructure powering cutting-edge machine learning workloads and production systems in a fast-moving startup environment.
Responsibilities
- Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs
- Setting up ML nodes for distributed training and local development
- Managing containerised environments (Docker, Kubernetes, Terraform)
- Optimising storage for big data pipelines supporting ML workloads
- Monitoring systems and responding to incidents, ensuring reliability and performance
- Working closely with ML engineers and researchers to integrate infra with production workloads
What you'll bring
- 6+ years' experience in cloud engineering, ideally with ML-related workloads
- Proficiency in scripting (Bash, PowerShell, Python)
- Start-up/Scale-up Experience
- Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes)
- Experience in automating deployments and orchestrating cloud environments
Nice to have
- Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience
This is a unique opportunity to join a visionary team redefining AI in 3D, with the chance to make a real impact at the cutting edge of spatial computing.
ML & Cloud Infrastructure Engineer employer: Harnham Search & Selection
Join a pioneering team in London that is at the forefront of AI and spatial computing, where your expertise as an ML & Cloud Infrastructure Engineer will directly contribute to transformative projects across various industries. Enjoy a hybrid work environment that promotes flexibility, alongside competitive compensation, equity options, and ample opportunities for professional growth in a dynamic startup culture that values innovation and collaboration.
Contact Details:
Harnham Search & Selection Recruitment Team
