At a Glance
- Tasks: Architect and maintain infrastructure for machine learning products while collaborating with Data Scientists.
- Company: Join Deepstreamtech, a forward-thinking tech company in Greater London.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact on innovative projects.
- Qualifications: Proficiency in Python, Docker, and Kubernetes is essential.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is looking for a passionate Software Engineer to join their AI Platform team in Greater London. In this role, you will architect and maintain the infrastructure that supports machine learning products. You will work closely with Data Scientists to enable a seamless transition from exploration to production.
Key responsibilities include:
- Developing deployment tooling
- Implementing infrastructure-as-code practices
- Ensuring high-quality, scalable solutions for clients
Knowledge of Python, Docker, and Kubernetes is essential for success in this role.
AI Platform Engineer — MLOps & Infra in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work alongside talented professionals in the AI field. Our commitment to cutting-edge technology and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers in MLOps and infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer — MLOps & Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, 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 infrastructure-as-code practices. Practise 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! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Platform Engineer — MLOps & Infra in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Docker, and Kubernetes. 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 shine! Tell us why you’re passionate about AI and MLOps, and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in deploying machine learning products. We’re keen to see how you approach problems and develop scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Python, Docker, and Kubernetes. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Understand MLOps Principles
Familiarise yourself with MLOps practices and how they apply to infrastructure management. Be prepared to explain how you would facilitate the transition from exploration to production for machine learning products.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or technical problems. Think aloud as you work through your thought process; this will demonstrate your analytical skills and approach to problem-solving.
✨Ask Insightful Questions
Prepare a few thoughtful questions about Deepstreamtech's AI Platform team and their current projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
