At a Glance
- Tasks: Develop Python rating engines and support the ML Operations team.
- Company: Leading tech company in Manchester with a focus on innovation.
- Benefits: Permanent position with growth opportunities and professional development.
- Why this job: Join a dynamic team and enhance your skills in machine learning operations.
- Qualifications: Degree in a mathematical or technical field; experience in data science or software roles.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 28800 - 43200 £ per year.
A leading technology company in Manchester is seeking a Junior Machine Learning Operations Engineer. The role involves developing Python rating engines and supporting the ML Operations team in enhancing rating capabilities.
Candidates should have a degree in a mathematical or technical field and experience in data science or software roles. This is a permanent position offering opportunities for growth and development.
Junior ML Ops Engineer: Python Rating Engines in Manchester employer: The Emerald Group
Contact Detail:
The Emerald Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior ML Ops Engineer: Python Rating Engines in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML Ops. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially any rating engines or data science work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML Ops questions and coding challenges. Practising with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior ML Ops Engineer: Python Rating Engines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science or software roles. We want to see how your skills align with developing Python rating engines, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Junior ML Ops Engineer role and how your background fits. We love seeing genuine enthusiasm for the position.
Showcase Your Technical Skills: Don’t forget to mention any specific technical skills you have that relate to machine learning or Python. We’re looking for candidates who can hit the ground running, so let us know what you bring to the table!
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. Plus, it’s super easy!
How to prepare for a job interview at The Emerald Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to developing rating engines. Be prepared to discuss your previous projects and how you've used Python in a practical context.
✨Understand Machine Learning Basics
Familiarise yourself with key machine learning concepts and algorithms. You might be asked about how these can enhance rating capabilities, so having a solid grasp will help you stand out.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical challenges during the interview. Practice explaining your thought process clearly, as this will demonstrate your analytical abilities and how you approach problem-solving.
✨Ask Insightful Questions
Prepare thoughtful questions about the ML Operations team and the company's future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.