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For Companies At a Glance
- Tasks: Design and maintain ML infrastructure, collaborating with data scientists for efficient model deployment.
- Company: Join a fast-growing organisation focused on innovative machine learning solutions.
- Benefits: Enjoy a hybrid work model and competitive salary of £80K - £90K.
- Why this job: Be part of a forward-thinking team shaping best practices in machine learning.
- Qualifications: Experience in deploying ML solutions, strong Python skills, and Azure proficiency required.
- Other info: Hands-on role influencing tools and culture in a modern ML platform.
Senior MLOps Engineer
Location: London hybrid
Salary: 80K – 90K
Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. You\’ll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business.
The Opportunity
As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to production. You\’ll collaborate closely with data scientists, ensuring that models are deployed efficiently, monitored effectively, and continuously improved.
This is a hands-on role where you\’ll influence the tools, frameworks, and culture that define how ML is delivered. You\’ll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale.
Skills and Experience
- Solid track record of building and deploying machine learning solutions in production environments
- Strong experience working with Python
- Proficiency in Azure
- Experience designing and maintaining CI/CD pipelines for ML workflows
- Familiarity with monitoring, testing, and automation in ML systems
Senior MLOps Engineer
Senior MLOps Engineer employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer
✨Tip Number 1
Network with professionals in the MLOps field. Attend meetups, webinars, or conferences related to machine learning and operations. Engaging with others can provide insights into the latest trends and may even lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with Python and Azure through personal projects or contributions to open-source initiatives. This practical demonstration of your skills can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific tools and frameworks used by the company. Research their current ML platform and be prepared to discuss how your experience aligns with their needs during interviews.
✨Tip Number 4
Prepare to discuss your approach to CI/CD pipelines and automation in ML workflows. Be ready to share examples of how you've implemented these processes in previous roles, as this will demonstrate your capability to contribute effectively.
We think you need these skills to ace Senior MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with building and deploying machine learning solutions, particularly in production environments. Emphasise your proficiency in Python and Azure, as well as any relevant CI/CD pipeline experience.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about MLOps and how your skills align with the role. Mention specific projects where you've successfully implemented automation, testing, or monitoring in ML systems.
Showcase Relevant Projects: If possible, include links to your GitHub or portfolio showcasing relevant projects. Highlight any contributions to ML platforms or tools that demonstrate your hands-on experience and ability to influence best practices.
Prepare for Technical Questions: Anticipate technical questions related to MLOps, such as your approach to designing CI/CD pipelines or how you ensure model reliability. Be ready to discuss your past experiences and the tools you've used in detail.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Azure in detail. Highlight specific projects where you've built and deployed machine learning solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of MLOps
Make sure to articulate your knowledge of CI/CD pipelines and how they apply to ML workflows. Discuss any tools or frameworks you've used to automate testing and monitoring, as this will show your hands-on experience in the field.
✨Collaborative Mindset
Since the role involves working closely with data scientists, emphasise your ability to collaborate effectively. Share examples of how you've worked in cross-functional teams to deliver high-quality machine learning products.
✨Prepare Questions
Have insightful questions ready about the company's ML platform and their approach to best practices. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
