Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovations in data protection and automate workloads using Python and machine learning.
- Company: Join mthree, a forward-thinking tech company in Glasgow.
- Benefits: Professional development opportunities and potential for permanent placement.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make a real impact by designing scalable systems and optimising backups.
- Qualifications: Mastery in Python, experience with Kafka, and knowledge of Kubernetes or UNIX.
The predicted salary is between 60000 - 80000 £ per year.
mthree is seeking a Senior Engineer in Glasgow to lead innovations in data protection and workload automation. You will design scalable systems, leverage machine learning for backup optimization, and develop robust REST APIs tailored for users.
Ideal candidates have mastery in Python, experience with distributed systems like Kafka, and a solid foundation in infrastructure depth, alongside hands-on exposure to Kubernetes or UNIX systems.
This role offers valuable professional development and potential permanent placement with the client.
Senior Python ML Engineer - Automation & Data Infra in Glasgow employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python ML Engineer - Automation & Data Infra in Glasgow
✨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 Python projects, especially those involving machine learning and automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss distributed systems, REST APIs, and your experience with tools like Kubernetes. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for 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 Python ML Engineer - Automation & Data Infra in Glasgow
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your mastery in Python right from the get-go. We want to see how you've used it in real-world projects, especially in relation to machine learning and automation.
Talk About Your Experience with Distributed Systems: If you've worked with systems like Kafka, don’t hold back! Share specific examples of how you’ve leveraged these technologies to solve problems or improve processes. It’ll show us you know your stuff.
Demonstrate Your Infrastructure Knowledge: We’re keen on candidates with a solid foundation in infrastructure. So, if you’ve got hands-on experience with Kubernetes or UNIX systems, make sure to include that in your application. It’s a big plus for us!
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 out on any important updates from us!
How to prepare for a job interview at mthree
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially how you've used it for machine learning and automation. Prepare to showcase any projects or systems you've designed that highlight your mastery.
✨Familiarise Yourself with Distributed Systems
Since the role involves working with distributed systems like Kafka, it's crucial to understand how they function. Be prepared to explain your experience with these technologies and how you've implemented them in past projects. Consider discussing specific challenges you faced and how you overcame them.
✨Demonstrate Your Infrastructure Knowledge
This position requires a solid foundation in infrastructure depth. Brush up on your knowledge of Kubernetes and UNIX systems, as well as any relevant tools you've used. Be ready to talk about how you've applied this knowledge in real-world scenarios, particularly in relation to data protection and workload automation.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about the company's approach to data protection and automation. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Ask about their current projects and future innovations in the field.