At a Glance
- Tasks: Enhance production-grade ML services on Azure and manage CI/CD processes.
- Company: Pharmacy2U, a certified B Corp committed to innovation and reliability.
- Benefits: Hybrid working model, competitive salary, and opportunities for continuous improvement.
- Other info: Work in a dynamic environment with a focus on professional growth.
- Why this job: Join a mission-driven team and make a real impact in healthcare technology.
- Qualifications: Strong Python skills, Docker experience, and proficiency in Azure Machine Learning.
The predicted salary is between 50000 - 65000 £ per year.
Pharmacy2U | Certified B Corp is seeking a dedicated ML Ops Engineer to enhance our production-grade Machine Learning and LLM services on Azure, ensuring reliability and performance. You will manage CI/CD and incident responses within a hybrid working model in Leeds.
The ideal candidate will have:
- Strong Python skills
- Experience with Docker
- Proficiency in Azure Machine Learning
This role includes handling sensitive data in regulated environments while striving for continuous improvements in operations.
ML Ops Engineer — Production ML on Azure in Leeds employer: Pharmacy2U | Certified B Corp
Pharmacy2U is an exceptional employer that champions innovation and sustainability, offering a dynamic work culture where employees are encouraged to grow and develop their skills in cutting-edge technologies. With a commitment to work-life balance through a hybrid working model in Leeds, we provide our ML Ops Engineers with opportunities for professional advancement while contributing to meaningful projects that impact healthcare positively. Join us to be part of a certified B Corp that values both its people and the planet.
Contact Details:
Pharmacy2U | Certified B Corp Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Ops Engineer — Production ML on Azure in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure and ML Ops. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, Docker containers, and any Azure ML work. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on CI/CD processes and incident response strategies. We love candidates who can talk about real-world scenarios and how they tackled challenges.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace ML Ops Engineer — Production ML on Azure in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python skills, Docker experience, and Azure Machine Learning proficiency. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML Ops and how you can contribute to enhancing our production-grade services. Let us know what excites you about working with sensitive data in regulated environments.
Showcase Continuous Improvement Mindset:In your application, mention any past experiences where you’ve implemented improvements in operations or processes. We love candidates who are proactive and always looking for ways to enhance reliability and performance!
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 the role. Plus, it shows you’re keen on joining our team at Pharmacy2U!
How to prepare for a job interview at Pharmacy2U | Certified B Corp
✨Know Your Tech Stack
Make sure you brush up on your Python skills, Docker, and Azure Machine Learning. Be ready to discuss how you've used these technologies in past projects. It’s a great way to show your hands-on experience and problem-solving abilities.
✨Understand CI/CD Processes
Since the role involves managing CI/CD, be prepared to explain your understanding of continuous integration and deployment. Share specific examples of how you've implemented these processes in previous roles, especially in relation to ML operations.
✨Showcase Your Incident Response Skills
Prepare to discuss how you've handled incidents in production environments. Think of a couple of scenarios where you successfully resolved issues, focusing on your approach to troubleshooting and ensuring system reliability.
✨Emphasise Continuous Improvement
This role is all about enhancing operations, so come ready with ideas on how to improve ML services. Discuss any initiatives you've taken in the past to optimise performance or reliability, and how you measure success in those improvements.
