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- Tasks: Bridge data science and production efficiency by defining workflows and integrating ML models.
- Company: Leading creator marketing firm in Greater London known for innovation.
- Benefits: Comprehensive benefits package and supportive work culture.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Proficient in Python with experience in AWS and GCP.
- Other info: Join a dynamic team with opportunities for growth and creativity.
The predicted salary is between 48000 - 72000 £ per year.
A leading creator marketing firm in Greater London seeks a Senior MLOps Engineer to bridge data science and production efficiency. The successful candidate will define annotation workflows and integrate machine learning models into the infrastructure, requiring proficiency in Python and experience in Cloud environments like AWS and GCP. Join a company renowned for its innovative approach to marketing and enjoy a comprehensive benefits package and supportive work culture.
Senior MLOps Engineer — Applied AI in Production employer: CreatorIQ
Contact Detail:
CreatorIQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer — Applied AI in Production
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 MLOps projects, especially those involving Python and cloud environments like AWS and GCP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios and challenges. Think about how you would define annotation workflows and integrate machine learning models into existing infrastructures. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like 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 Senior MLOps Engineer — Applied AI in Production
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any experience you have with AWS or GCP. We want to see how your skills can bridge the gap between data science and production efficiency!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior MLOps Engineer role. We love seeing candidates who take the extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the job.
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 this exciting opportunity!
How to prepare for a job interview at CreatorIQ
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the specific Cloud environments mentioned, like AWS and GCP. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of MLOps.
✨Understand the Company’s Vision
Research the marketing firm’s innovative approach and think about how your role as a Senior MLOps Engineer can contribute to their goals. This will help you align your answers with their mission and demonstrate that you're genuinely interested in being part of their team.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to annotation workflows or model integration. Practise articulating your thought process clearly, as this will showcase your problem-solving skills and ability to bridge data science with production efficiency.
✨Showcase Your Collaborative Spirit
Since the role involves bridging different teams, be prepared to discuss how you've successfully collaborated with data scientists and engineers in the past. Highlight any experiences where you facilitated communication or improved workflows, as this will reflect your fit within their supportive work culture.
