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- Tasks: Join a team to develop machine learning solutions using Python and REST APIs.
- Company: Dynamic technology consulting firm based in Glasgow.
- Benefits: Hybrid work model, competitive pay, and opportunities for skill enhancement.
- Why this job: Be at the forefront of machine learning innovation while working on exciting projects.
- Qualifications: Strong Python skills and experience with message queues and REST APIs.
- Other info: 12-month contract with a vibrant team and growth potential.
The predicted salary is between 40000 - 50000 £ per year.
A technology consulting firm is looking for a Machine Learning Engineer to join their team in Glasgow, Scotland. This role will focus on two new internal projects, requiring excellent Python programming skills and experience with message queues and REST API development. This is a 12-month contract with a hybrid work model, involving three days a week in the office, aiming to enhance their machine learning capabilities.
Hybrid ML Engineer (Python) - REST APIs & Kafka, Glasgow employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML Engineer (Python) - REST APIs & Kafka, Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving REST APIs and Kafka. 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 common ML concepts and coding challenges. We recommend practicing with mock interviews to build confidence and get comfortable discussing your experience and projects.
✨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 are proactive about their job search!
We think you need these skills to ace Hybrid ML Engineer (Python) - REST APIs & Kafka, Glasgow
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used Python in past projects, especially if it relates to machine learning or REST API development.
Talk About Your Projects: If you've worked on any projects involving message queues or REST APIs, share those experiences! We love to see real-world applications of your skills, so don’t hold back on the details.
Tailor Your Application: Take a moment to customise your application for this role. Mention why you're excited about working on internal projects and how you can contribute to enhancing our machine learning capabilities.
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 this exciting opportunity in Glasgow!
How to prepare for a job interview at Cititec
✨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 programming, especially in relation to machine learning projects. Practise coding challenges that focus on Python to demonstrate your proficiency.
✨Familiarise Yourself with REST APIs
Since the role involves REST API development, it’s crucial to understand how they work. Prepare to explain how you've built or interacted with REST APIs in past projects. Consider bringing examples of your work to showcase your experience.
✨Get Comfortable with Message Queues
As message queues are part of the job, make sure you know the basics and any specific technologies mentioned in the job description. Be prepared to discuss how you've used message queues like Kafka in your previous roles and the impact they had on your projects.
✨Show Enthusiasm for Hybrid Work
This position has a hybrid work model, so express your enthusiasm for working both in the office and remotely. Share your thoughts on how you manage productivity in a hybrid environment and how you plan to collaborate effectively with the team.