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- Tasks: Build scalable ML pipelines and deploy models for an AI-driven wine exchange platform.
- Company: Leading wine trading tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on efficiency and safety in the wine industry.
- Why this job: Join a passionate team transforming the wine trade with cutting-edge technology.
- Qualifications: Experience in Python, MLOps best practices, and AWS services required.
The predicted salary is between 36000 - 60000 £ per year.
A leading wine trading technology company seeks a Machine Learning Engineer to develop the MLOps infrastructure for their AI-driven wine exchange platform. You will work on building scalable ML pipelines and deploying models using Databricks and AWS. The ideal candidate has extensive experience in Python, MLOps best practices, and AWS services. Join a dedicated team aiming to enhance the wine trade's efficiency and safety through innovative technology.
MLOps Engineer - Production AI at Scale in London employer: Liv-ex Ltd
Contact Detail:
Liv-ex Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer - Production AI at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the wine tech industry or MLOps community. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving Python and AWS. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of scalable ML pipelines and Databricks. Practising common MLOps scenarios can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace MLOps Engineer - Production AI at Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, MLOps best practices, and AWS services. We want to see how your skills align with the role of MLOps Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the wine industry and how your expertise can help us enhance efficiency and safety in the trade. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any scalable ML pipelines or deployed models, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to MLOps and AI.
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 Liv-ex Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and AWS. Brush up on your knowledge of MLOps best practices and be ready to discuss how you've implemented these technologies in past projects. This will show that you’re not just familiar with the tools, but that you can effectively use them in a real-world context.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building scalable ML pipelines. Think about how you approached these problems and what solutions you implemented. This will demonstrate your critical thinking and ability to adapt, which are key for an MLOps Engineer.
✨Understand the Wine Industry
Familiarise yourself with the wine trading sector and its unique challenges. Being able to speak intelligently about how AI can enhance efficiency and safety in this field will set you apart from other candidates. It shows genuine interest and that you’re ready to contribute to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current MLOps infrastructure and future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career aspirations. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.