At a Glance
- Tasks: Architect AI infrastructure and collaborate with data scientists on cutting-edge projects.
- Company: Dormont Manufacturing Co, a leader in AI and ML innovation.
- Benefits: Unlimited annual leave, private healthcare, and hybrid working model.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong Python or Go skills, plus Docker and Kubernetes experience.
The predicted salary is between 60000 - 80000 £ per year.
Dormont Manufacturing Co is seeking a Software Engineer for the AI Platform team in Greater London. This role involves architecting the infrastructure to support advanced AI and ML products, as well as collaborating with data scientists to refine tooling.
The ideal candidate will have a strong background in Python or Go, as well as experience with Docker, Kubernetes, and Infrastructure-as-Code tooling.
Benefits include unlimited annual leave, private healthcare, and a hybrid working model.
AI Platform Engineer - MLOps & Infra (Hybrid) employer: Dormont Manufacturing Co
Dormont Manufacturing Co is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI Platform team in Greater London. With benefits such as unlimited annual leave and private healthcare, employees are encouraged to maintain a healthy work-life balance while having ample opportunities for professional growth in a cutting-edge field. The hybrid working model further enhances flexibility, making it an attractive place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer - MLOps & Infra (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Go, Docker, and Kubernetes. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of Infrastructure-as-Code tooling. Practice common interview questions and scenarios that relate to AI and ML to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Platform Engineer - MLOps & Infra (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python or Go, Docker, Kubernetes, and Infrastructure-as-Code tooling in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the AI Platform Engineer role by mentioning specific projects or experiences that relate to architecting infrastructure for AI and ML products. It helps us see you as a perfect fit!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your background and what you can bring to the team.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Stack
Make sure you brush up on your Python or Go skills, as well as your knowledge of Docker and Kubernetes. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to work with.
✨Understand MLOps Fundamentals
Familiarise yourself with MLOps principles and Infrastructure-as-Code tooling. Be prepared to explain how you would architect infrastructure for AI and ML products, and think about any challenges you've faced in previous roles that relate to this.
✨Collaborate Like a Pro
Since this role involves working closely with data scientists, think about examples where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve contributed to refining tooling or processes in the past.
✨Ask Insightful Questions
Prepare some thoughtful questions about Dormont Manufacturing Co's AI Platform team and their current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding their hybrid working model.
