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 like GCP or AWS.
The predicted salary is between 60000 - 80000 £ 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 employer: Trustpilot
Trustpilot is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in the rapidly evolving field of AI and machine learning. Our commitment to work-life balance and a supportive environment makes Trustpilot a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land ML Production Engineer: Deploy, Monitor & Scale AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Trustpilot or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving deployment and monitoring. This will demonstrate your hands-on experience and make you stand out to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding CI/CD pipelines. Practise common ML scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨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
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 can’t wait to hear from you!
How to prepare for a job interview at Trustpilot
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model performance metrics, and how you’ve applied these in past projects. Trustpilot will want to see that you can not only deploy models but also understand their inner workings.
✨Showcase Your Cloud Experience
Familiarise yourself with the cloud platforms mentioned in the job description, like GCP, AWS, or Azure. Prepare examples of how you've used these platforms for deploying and scaling machine learning models. This will demonstrate your hands-on experience and technical prowess.
✨Demonstrate CI/CD Knowledge
Be ready to discuss your experience with CI/CD pipelines. Explain how you’ve implemented these in previous roles to automate deployment processes. This shows that you understand the importance of continuous integration and delivery in maintaining model performance.
✨Collaborative Mindset
Since this role involves working closely with software engineers and data scientists, prepare to talk about your teamwork experiences. Share specific examples of how you’ve collaborated on projects, highlighting your communication skills and ability to work in a cross-functional team.
