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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 onsite collaboration.
- Other info: Onsite role with flexible work arrangements and opportunities for growth.
- Why this job: Make an impact in machine learning and automation 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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or machine learning. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving ML and REST APIs. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your past projects. We all know that confidence is key, so get comfortable with your knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Python ML Engineer — Automation & REST APIs in London
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 achievements!
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!
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 these work. Be ready to explain how you've used message queues in your previous roles, and think of examples where they improved 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.