Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy cutting-edge ML systems while ensuring operational integrity.
- Company: Advanced tech firm in Liverpool focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Take ownership of impactful AI projects and shape the future of technology.
- Qualifications: Experience in production ML environments and strong Python skills required.
- Other info: Join a dynamic team with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
An advanced technology firm in Liverpool is seeking a Senior MLOps Engineer to take behavioral AI models into production. This hands-on role involves building CI/CD pipelines, deploying ML systems, and ensuring operational integrity as customer deployments scale.
Candidates should have substantial experience in running ML in production environments, strong Python skills, and familiarity with containerization technologies like Docker and Kubernetes. The position allows for significant ownership in innovative AI solutions.
Senior MLOps Engineer: Production ML Platform in Liverpool employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer: Production ML Platform in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in MLOps. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving CI/CD pipelines and ML systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and containerization technologies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior MLOps Engineer: Production ML Platform in Liverpool
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your experience with running ML in production environments. We want to see how you've tackled challenges and what you've achieved in your previous roles.
Get Technical: Don’t shy away from showcasing your strong Python skills and familiarity with containerization technologies like Docker and Kubernetes. We love seeing candidates who can get into the nitty-gritty of tech, so let us know what you’ve built!
Tailor Your Application: Make your application stand out by tailoring it to our job description. Use keywords from the posting and relate your past experiences to the responsibilities of the Senior MLOps Engineer role. It shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at 55 Exec Search
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable discussing containerization technologies like Docker and Kubernetes. Be ready to share specific examples of how you've used these tools in past projects, especially in production environments.
✨Showcase Your CI/CD Pipeline Experience
Prepare to discuss your experience with building and maintaining CI/CD pipelines. Think of a couple of scenarios where you faced challenges and how you overcame them. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Understand the Business Impact
It's not just about the tech; understand how your work as an MLOps Engineer can drive business value. Be prepared to talk about how deploying ML systems can enhance customer experiences or improve operational efficiency.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company's approach to scaling AI solutions or how they measure the success of their ML deployments. This shows your genuine interest and helps you gauge if the company is the right fit for you.
