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- Tasks: Join our ML Operations team to develop and enhance Python rating engines.
- Company: Dynamic tech company based in Manchester, focused on innovation.
- Benefits: Permanent position with competitive salary and opportunities for growth.
- Why this job: Make a real impact in machine learning and enhance your technical skills.
- Qualifications: Degree in a technical field or equivalent experience in data science/software roles.
- Other info: Collaborative environment with a focus on continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
They’re looking for a Junior Machine Learning (ML) Operations Engineer to contribute to and enable high frequency, high quality and high accuracy rating changes to Python deployments for their business.
Location: Manchester
Type: Permanent
Key Duties (Including but not limited to):
- Contribute to the development and operation of Python rating engines and related analysis/testing work as part of ML Operations team
- Help to enable P&A department to deliver value via contributing to seamless, efficient and controlled, through harmonious and simple routes for rating changes
- Develop tools for the team and external teams to increase their rating capability
- Contribute to architectural and technical documentation
Requirements:
- Excellent logical reasoning skills with a degree in a mathematical/technical related (e.g.: Mathematics, Computer Science, or Physics) or evidence of equivalent proficiency
- Demonstrable experience in previous data science or software roles
- Critical and analytical approach to problem structuring
- Ability to continually learn and develop
Junior Machine Learning (ML) Operations Engineer – 29348 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 Machine Learning (ML) Operations Engineer – 29348 in Manchester
✨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 or any ML tools you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and Python-related questions. Practise explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Junior Machine Learning (ML) Operations Engineer – 29348 in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 Operations Engineer role and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex problems or contributed to projects in data science or software. We love seeing critical thinking in action!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at The Emerald Group
✨Know Your Python Inside Out
Since the role focuses on Python deployments, make sure you brush up on your Python skills. Be ready to discuss your previous projects and how you've used Python in a practical context. Practising coding problems related to machine learning can also give you an edge.
✨Showcase Your Analytical Skills
Prepare to demonstrate your logical reasoning and analytical abilities. Think of examples from your past experiences where you tackled complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the ML Operations Landscape
Familiarise yourself with the basics of machine learning operations. Knowing how rating engines work and the importance of seamless changes will show that you're genuinely interested in the field and understand the company's needs.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the tools they use, and how they measure success in their ML operations. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
