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- Tasks: Design and maintain ML infrastructure, ensuring efficient model deployment and monitoring.
- 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 Python, Azure, and CI/CD pipelines for ML workflows required.
- Other info: This is a hands-on role influencing tools and culture in ML delivery.
The predicted salary is between 57600 - 75600 £ per year.
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 for the position.
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. Bring examples of machine learning solutions you've built and deployed, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of MLOps
Make sure you can articulate the principles of MLOps clearly. Discuss your experience with CI/CD pipelines and how you've implemented them in previous roles. This will show that you understand the importance of automation and reliability in ML workflows.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to ML deployment and monitoring. Think through potential scenarios beforehand and how you would approach them, as this will demonstrate your problem-solving skills and practical knowledge.
✨Emphasise Collaboration and Communication
Since you'll be working closely with data scientists, highlight your ability to collaborate effectively. Share examples of how you've communicated complex technical concepts to non-technical stakeholders, as this is crucial for ensuring successful project outcomes.
