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) in London 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) in London
✨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 refer you directly to hiring managers.
✨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 the infrastructure concepts. Practice common MLOps scenarios and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Platform Engineer - MLOps & Infra (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python or Go, Docker, and Kubernetes 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! Customise your application to reflect the specific requirements of the AI Platform Engineer role. We love seeing candidates who take the time to connect their experience to our needs.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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.
✨Collaboration is Key
Since you'll be working closely with data scientists, think about examples from your past where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you can bridge the gap between engineering and data science.
✨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 assess if the company culture aligns with your values, especially regarding their hybrid working model.
