Python ML Engineer for Greenfield Projects - Hybrid in Glasgow

Python ML Engineer for Greenfield Projects - Hybrid in Glasgow

Glasgow Temporary 45000 - 60000 £ / year (est.) Home office (partial)
Cititec

At a Glance

  • Tasks: Support exciting greenfield projects using Python for machine learning applications.
  • Company: Cititec, a forward-thinking tech company based in Glasgow.
  • Benefits: Hybrid work model, competitive pay, and opportunities for skill enhancement.
  • Other info: Mid-senior level role with great potential for career growth.
  • Why this job: Join a dynamic team and make a real impact on innovative ML projects.
  • Qualifications: Strong programming skills and experience with message queues and REST APIs.

The predicted salary is between 45000 - 60000 £ per year.

Cititec in Glasgow, Scotland is hiring a Machine Learning Engineer for 12 months to support two upcoming greenfield projects. This role offers a hybrid work model, requiring 3 days a week in the Glasgow office while focusing on Python-driven ML applications.

The ideal candidate will have excellent programming skills and extensive experience with message queues, REST API development, and machine learning. This is a mid-senior level contract position in the IT sector.

Python ML Engineer for Greenfield Projects - Hybrid in Glasgow employer: Cititec

Cititec is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about machine learning and technology. With a hybrid work model that promotes flexibility, employees enjoy the benefits of collaboration in the Glasgow office while also having the freedom to work remotely. The company prioritises professional growth, offering opportunities to engage in cutting-edge greenfield projects that enhance skills and career advancement in the thriving IT sector.

Cititec

Contact Details:

Cititec Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Python ML Engineer for Greenfield Projects - Hybrid in Glasgow

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working at Cititec or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python-driven ML projects. This is your chance to demonstrate your expertise and passion for machine learning, making you stand out from the crowd.

Tip Number 3

Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss message queues, REST API development, and any relevant ML frameworks. We want you to feel confident and ready to impress!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team on exciting greenfield projects.

We think you need these skills to ace Python ML Engineer for Greenfield Projects - Hybrid in Glasgow

Python
Machine Learning
Message Queues
REST API Development
Programming Skills
Hybrid Work Model
Greenfield Projects

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your Python programming skills and experience with machine learning. We want to see how your background aligns with the greenfield projects we're working on, so don’t hold back!

Showcase Relevant Experience:When writing your application, focus on your hands-on experience with message queues and REST API development. We love seeing real-world examples of how you've tackled similar challenges in the past.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’re a great fit for the role.

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 us!

How to prepare for a job interview at Cititec

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially in relation to machine learning. Be prepared to discuss specific libraries like TensorFlow or PyTorch and how you've used them in past projects.

Showcase Your ML Projects

Bring examples of your previous work with machine learning applications. Whether it's a project from a previous job or a personal endeavour, be ready to explain your thought process and the impact of your work.

Understand REST APIs and Message Queues

Since this role involves REST API development and message queues, make sure you can articulate how these technologies work together in a machine learning context. Prepare to answer questions about your experience with them.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that show your interest in the greenfield projects. Inquire about the team dynamics, project goals, and how success will be measured in this role.