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- Tasks: Build and maintain scalable machine learning infrastructure for cutting-edge AI projects.
- Company: Leading AI research and technology firm based in Oxford.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI with your expertise.
- Qualifications: 4+ years in platform engineering, strong skills in Python, AWS, and Docker.
- Other info: Collaborate with data scientists and implement innovative MLOps practices.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI research and technology firm in Oxford is seeking an AI Platform Engineer to build and maintain scalable machine learning infrastructure. This hybrid role requires expertise in Python, AWS, and Docker, with a focus on developing tools that support AI model training and deployment.
Candidates should have 4+ years of relevant experience in platform engineering, with strong knowledge of containerized environments. The firm is looking for someone to collaborate closely with data scientists and implement MLOps practices.
Senior AI Platform Engineer - Hybrid (ML Infra & MLOps) employer: J&T Business Consulting
Contact Detail:
J&T Business Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Platform Engineer - Hybrid (ML Infra & MLOps)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, AWS, and Docker. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on MLOps practices and containerized environments. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.
✨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 Senior AI Platform Engineer - Hybrid (ML Infra & MLOps)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and Docker. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background in platform engineering makes you a perfect fit for our team. Let us know what excites you about this hybrid role.
Showcase Your MLOps Knowledge: Since we’re looking for someone who can implement MLOps practices, make sure to mention any relevant experience you have in this area. Share examples of how you've collaborated with data scientists or improved ML workflows in your previous roles.
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 don’t miss out on any important updates from our team. We can’t wait to hear from you!
How to prepare for a job interview at J&T Business Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Python, AWS, and Docker skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your MLOps Knowledge
Since the role focuses on MLOps practices, prepare to talk about your experience in this area. Think of examples where you've implemented MLOps in previous roles and how it improved the workflow or efficiency.
✨Collaboration is Key
This position involves working closely with data scientists, so be prepared to discuss how you've collaborated in the past. Highlight any cross-functional projects and how you ensured effective communication and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future goals related to AI infrastructure. This shows you're genuinely interested and engaged.