At a Glance
- Tasks: Deploy, monitor, and scale AI models while collaborating with data teams.
- Company: Join Trustpilot, a leader in AI-driven solutions, based in Edinburgh.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact in the AI field and enhance model performance.
- Qualifications: Experience in machine learning, software engineering, and cloud platforms required.
The predicted salary is between 50000 - 70000 £ per year.
Trustpilot is seeking an MLOps professional in Edinburgh to collaborate with data teams and ensure efficient deployment and maintenance of machine learning models. In this role, you will enhance model performance and contribute towards AI-driven solutions, working closely with software engineers and data scientists.
The ideal candidate will have a solid basis in both machine learning and software engineering, with experience in cloud platforms like GCP, AWS, or Azure. Strong proficiency in Python and knowledge of CI/CD pipelines is essential.
ML Production Engineer: Deploy, Monitor & Scale AI in Edinburgh employer: Trustpilot
Trustpilot is an excellent employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, we offer opportunities for professional development and skill enhancement, particularly in the rapidly evolving field of AI and machine learning. Our commitment to a supportive environment ensures that you can thrive while contributing to impactful AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land ML Production Engineer: Deploy, Monitor & Scale AI in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any cool stuff you've built. This is your chance to shine and demonstrate your expertise in Python and cloud platforms.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of CI/CD pipelines and be ready to discuss how you’ve deployed and monitored models in the past. We want you to feel confident and ready to impress!
✨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 ML Production Engineer: Deploy, Monitor & Scale AI in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud platform expertise and Python proficiency!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the MLOps role at Trustpilot and how you can contribute to enhancing model performance. Let us know what makes you tick!
Showcase Relevant Projects:If you've worked on any projects involving CI/CD pipelines or deploying machine learning models, make sure to mention them. We love seeing real-world applications of your skills, so share those experiences with us!
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. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Trustpilot
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss different algorithms, their applications, and how they can be optimised. Trustpilot will likely want to see that you can not only deploy models but also understand the theory behind them.
✨Showcase Your Cloud Skills
Since experience with cloud platforms like GCP, AWS, or Azure is crucial, prepare to talk about your hands-on experience with these services. Have examples ready where you've deployed or scaled models in the cloud, and be specific about the tools and techniques you used.
✨Demonstrate CI/CD Knowledge
Familiarise yourself with Continuous Integration and Continuous Deployment (CI/CD) pipelines. Be prepared to explain how you've implemented these in past projects, and why they're important for maintaining machine learning models in production.
✨Collaborative Mindset
This role involves working closely with software engineers and data scientists, so highlight your teamwork skills. Share examples of how you've successfully collaborated in the past, and be ready to discuss how you approach problem-solving in a team setting.
