At a Glance
- Tasks: Join exciting greenfield projects and develop machine learning solutions using Python.
- Company: Dynamic financial services firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: Opportunity for growth in a collaborative and tech-driven environment.
- Why this job: Be part of groundbreaking projects that shape the future of finance.
- Qualifications: Strong Python skills and experience with message queues and REST APIs.
My client in financial services is about to kick off 2 greenfield internal projects. They are hiring for a Python ML Engineer to join the team.
12 Month initial contract £510 Per Day - Inside IR35
Hybrid - 3 days a week in Glasgow office
- Excellent programming skills with Python
- Strong experience with message queues (Kafka/RabbitMQ/Celery/etc)
- Strong experience creating REST API servers
- Strong experience with ML
Machine Learning Engineer - Cititec Talent Ltd in Glasgow employer: Jobs via eFinancialCareers
Cititec Talent Ltd is an exceptional employer, offering a dynamic work environment in the heart of Glasgow where innovation thrives. With a strong focus on employee growth and development, team members are encouraged to enhance their skills through engaging projects and collaborative efforts. The hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the financial services sector.
Contact Details:
Jobs via eFinancialCareers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Cititec Talent Ltd in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those involving ML and REST APIs. This will give potential employers a taste of what you can bring to their greenfield projects.
✨Tip Number 3
Ace the interview! Brush up on your knowledge of message queues like Kafka and RabbitMQ. Be ready to discuss how you've used these technologies in past projects, as this will demonstrate your expertise and fit for the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like this one. Plus, we’re always on the lookout for talented individuals to join our community, so don’t miss out!
We think you need these skills to ace Machine Learning Engineer - Cititec Talent Ltd in Glasgow
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your programming prowess in Python. We want to see examples of your work, so don’t hold back on showcasing any projects or experiences that demonstrate your coding skills.
Talk About Your ML Experience:Since this role is all about machine learning, let us know about your hands-on experience with ML. Share specific projects where you’ve implemented ML algorithms and the impact they had.
Mention Your API Knowledge:We’re keen on your experience with REST API servers. If you've built or worked with APIs, give us the details! It’s a great way to show how you can contribute to our greenfield projects.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Jobs via eFinancialCareers
✨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, including any specific libraries or frameworks you've used in machine learning projects.
✨Get Familiar with Message Queues
Since the role requires strong experience with message queues like Kafka or RabbitMQ, it’s crucial to understand how they work. Prepare to explain how you've implemented these technologies in past projects and be ready for technical questions around them.
✨Showcase Your REST API Knowledge
Be prepared to talk about your experience creating REST API servers. Think of examples where you’ve built or integrated APIs, and be ready to discuss the challenges you faced and how you overcame them.
✨Demonstrate Your ML Expertise
As a Machine Learning Engineer, you’ll need to showcase your understanding of machine learning concepts. Prepare to discuss algorithms you’ve worked with, projects you’ve completed, and how you’ve applied ML in real-world scenarios.
