At a Glance
- Tasks: Design and deploy scalable ML infrastructure for cutting-edge AI projects.
- Company: Join a pioneering AI startup redefining 3D content generation.
- Benefits: Competitive salary, flexible pay for strong candidates, and a dynamic work environment.
- Other info: Be part of a small, fast-moving team with significant growth potential.
- Why this job: Shape the future of AI and work on groundbreaking technology.
- Qualifications: Experience in building ML infrastructure and cloud architecture from scratch.
The predicted salary is between 72000 - 104000 £ per year.
Job Description
ML & Cloud Infrastructure Engineer
London
Up to £150000
About the Role
A cutting-edge AI start-up is pioneering the development of frontier 3D foundation models, pushing the boundaries of computer vision and spatial computing. Their mission is to redefine how industries such as robotics, AR/VR, gaming, and film generate and interact with 3D content.
They are now seeking an ML & Cloud Infrastructure Engineer to join their growing team.
This is a unique opportunity to work at the forefront of AI innovation, building the infrastructure that underpins complex ML workloads and production systems. You’ll play a central role in scaling the company’s platforms and ensuring their pioneering technology reaches its full potential.
Key Responsibilities,
- Develop and maintain scalable, high-performance cloud-based infrastructure for ML workloads and API deployment.
- Manage and optimize cloud platforms (AWS, Azure, GCP) and set up ML nodes for local and distributed training.
- Install, configure, and monitor servers, ensuring system reliability.
- Design and optimize storage solutions for large-scale ML datasets.
- Manage containerized applications with Docker, Kubernetes, Terraform, and related tools.
- Collaborate with ML engineers and researchers to ensure seamless orchestration of training and production environments.
- Troubleshoot and respond to cloud/production incidents, implementing long-term solutions.
What We’re Looking For
- At least 3 years of professional experience in a cloud-related engineering role (ML-related experience highly desirable).
- Strong scripting skills (Bash, PowerShell, Python, etc.) for automation.
- Proven expertise in at least one major cloud platform (AWS, GCP, or Azure).
- Experience with containerization and orchestration (Docker, Kubernetes).
- Ability to manage and optimize large-scale cloud infrastructure.
- Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch).
- Experience with cloud monitoring tools (Prometheus, Grafana).
- Exposure to cloud-based databases (RDS, Aurora, Spanner, etc.) and data-visualisation tools.
- Knowledge of CI/CD tools (e.g., CircleCI).
Machine Learning Infrastructure Engineer in City of London employer: Harnham
At SpAItial, we offer an exceptional opportunity for a Machine Learning Infrastructure Engineer to join a dynamic and innovative team at the forefront of AI technology. Our collaborative work culture fosters creativity and growth, providing employees with the chance to shape groundbreaking 3D generative AI systems while enjoying competitive salaries and a supportive environment in vibrant London. With significant funding dedicated to compute resources, you will have the tools and freedom to build impactful solutions that redefine industry standards.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Infrastructure Engineer in City of London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Harnham or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Harnham.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Harnham.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harnham that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Infrastructure Engineer in City of London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harnham.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Harnham
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harnham uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
