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- Tasks: Design and maintain scalable cloud infrastructure for cutting-edge ML workloads.
- Company: Pioneering startup redefining AI in 3D technology.
- Benefits: Competitive salary, equity, hybrid work, and a chance to shape the future.
- Why this job: Join a visionary team and make a real impact in spatial computing.
- Qualifications: 6+ years in cloud engineering with strong skills in AWS, GCP, or Azure.
- Other info: Dynamic startup environment with opportunities for innovation and growth.
The predicted salary is between 140000 - 160000 £ per year.
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.
They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment.
The role will involve:
- 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. If you're passionate about building world-class ML infrastructure and want to be part of a mission-driven startup, apply today.
ML & Cloud Infrastructure Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML & Cloud Infrastructure Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and cloud infrastructure. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate candidates who are eager to join our mission-driven team.
We think you need these skills to ace ML & Cloud Infrastructure Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud engineering and ML workloads. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re excited about this role. Share your passion for AI and 3D technology, and let us know how you can contribute to our mission. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for specific skills like AWS, GCP, Azure, and containerisation tools. Make sure to mention these in your application, along with any scripting languages you’re proficient in. We love seeing practical examples of your work!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in the specific cloud platforms mentioned in the job description, like AWS, GCP, and Azure. Brush up on your knowledge of containerisation tools such as Docker and Kubernetes, as well as scripting languages like Python and Bash. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've tackled challenges related to ML workloads or cloud infrastructure. Think about times when you optimised systems or resolved incidents. This will demonstrate your ability to think critically and act decisively in a fast-paced environment, which is crucial for a startup.
✨Understand the Company’s Mission
Familiarise yourself with the company’s vision of transforming industries through 3D technology. Be ready to articulate how your skills and experiences align with their mission. Showing genuine interest in their work can set you apart from other candidates and highlight your enthusiasm for the role.
✨Prepare Questions
Have a list of insightful questions ready to ask during the interview. Inquire about their current projects, team dynamics, or future goals. This not only shows your interest but also helps you gauge if the company culture and direction align with your career aspirations.
