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- Tasks: Join the ML Operations team to develop and enhance Python rating engines.
- Company: Dynamic tech company based in Manchester, focused on innovation.
- Benefits: Permanent position with opportunities for growth and skill development.
- Why this job: Make a real impact in machine learning while working with cutting-edge technology.
- Qualifications: Degree in a technical field or equivalent experience in data science/software roles.
- Other info: Ideal for graduates eager to learn and grow in a collaborative environment.
The predicted salary is between 30000 - 42000 £ per year.
They’re looking for a Graduate 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
- Develop tools for the team and external teams to increase their rating capability
- Contribute to architectural and technical documentation
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.
Graduate Machine Learning (ML) 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 Graduate Machine Learning (ML) Engineer – 29348 in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML interview questions and coding challenges to boost your confidence.
✨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 Graduate Machine Learning (ML) Engineer – 29348 in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Graduate Machine Learning Engineer role. We want to see how your background in Mathematics, Computer Science, or Physics makes you a great fit for our team!
Showcase Your Projects: If you've worked on any projects related to machine learning or Python, be sure to include them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our ML Operations team. Let us know what excites you about this opportunity!
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 – just follow the prompts!
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 before the interview. Be ready to discuss your experience with Python rating engines and any projects you've worked on. They’ll likely want to see how you can contribute to their ML Operations team, so having specific examples at hand will really help.
✨Show Off Your Problem-Solving Skills
Prepare to demonstrate your logical reasoning and analytical abilities. Think of a few scenarios where you tackled complex problems in previous roles or during your studies. Being able to articulate your thought process will show them that you can handle the challenges they face in ML operations.
✨Familiarise Yourself with ML Concepts
Since this role is focused on machine learning, make sure you understand key concepts and terminology. Brush up on the latest trends in ML and be prepared to discuss how they apply to the business. This shows your enthusiasm for the field and your commitment to continual learning.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the tools they use, the team dynamics, or how they measure success in ML operations. This not only shows your interest in the role but also helps you gauge if it’s the right fit for you.
