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- Tasks: Design scalable automation solutions and develop REST APIs with a global tech team.
- Company: Join McGregor Recruitment, a leader in enterprise technology.
- Benefits: Competitive day rate of £450 PAYE and flexible onsite work.
- Other info: Collaborate with engineering teams and grow your career in Glasgow.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: Strong Python skills and experience with machine learning and REST services.
The predicted salary is between 90000 - 90000 £ per year.
McGregor Recruitment seeks an experienced Python ML Engineer to join a global enterprise technology team in Glasgow. In this onsite role (3 days per week), you will focus on designing scalable automation solutions, collaborating with engineering teams to implement workload orchestration, and developing REST APIs.
The ideal candidate should have strong Python skills and experience with machine learning, REST services, and message queue technologies like Kafka or RabbitMQ.
This position offers a competitive day rate of £450 PAYE.
Python ML Engineer — Automation & REST APIs in Glasgow employer: McGregor Recruitment
Contact Detail:
McGregor Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Engineer — Automation & REST APIs in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving machine learning and REST APIs. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and ML. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Python ML Engineer — Automation & REST APIs in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience with REST APIs and message queue technologies like Kafka or RabbitMQ makes you a great fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially those related to automation solutions. We love seeing how you think and approach problems, so share your thought process!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at McGregor Recruitment
✨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 in relation to machine learning and REST APIs. Prepare to showcase any projects you've worked on that highlight your coding prowess.
✨Understand Automation and Orchestration
Since the role focuses on designing scalable automation solutions, it’s crucial to understand workload orchestration. Familiarise yourself with tools and frameworks that facilitate automation, and be prepared to discuss how you've implemented these in past projects.
✨Get Comfortable with Message Queues
The job mentions technologies like Kafka or RabbitMQ, so make sure you know how they work. Be ready to explain how you've used these technologies in your previous roles, and think of examples where they helped improve system performance or reliability.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the projects you'll be working on, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.