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- Tasks: Join the ML Ops team to enhance production machine learning and pricing systems.
- Company: Leading analytics firm in the UK with a focus on innovation.
- Benefits: Great opportunities for professional growth and impactful work.
- Why this job: Make a real difference in business outcomes while working with cutting-edge technology.
- Qualifications: Strong Python skills, curiosity for machine learning, and problem-solving abilities.
- Other info: Collaborative environment aimed at modernising operational practices.
The predicted salary is between 30000 - 42000 £ per year.
A leading analytics firm in the UK is seeking a candidate to join their Machine Learning Operations team, focusing on production machine learning and pricing systems. The ideal candidate has a strong foundation in Python, a curiosity for machine learning, and excellent problem-solving skills. This role offers substantial opportunities for professional growth while contributing to real systems that positively impact business outcomes. Join a collaborative environment and help modernize operational practices.
Production ML Engineer (Python) - Pricing Platform in Manchester employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer (Python) - Pricing Platform in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in machine learning or analytics. 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 those related to 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 common ML concepts and problem-solving scenarios. Practising with mock interviews can help us feel more confident and ready to tackle any questions that come our way.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Production ML Engineer (Python) - Pricing Platform in Manchester
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially in machine learning contexts. Don't just list your skills; give us examples!
Demonstrate Your Curiosity: We love candidates who are curious about machine learning! Share any personal projects, courses, or research you've done. This shows us you're not just looking for a job, but you're genuinely interested in the field.
Problem-Solving Examples: Since this role involves tackling complex problems, include specific examples of challenges you've faced and how you solved them. We want to see your thought process and how you approach problem-solving.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for the role!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Python
Make sure you're comfortable with Python, as it's a key part of the role. Review your knowledge of libraries commonly used in machine learning, like NumPy and Pandas, and be ready to discuss how you've applied them in past projects.
✨Show Your Curiosity for Machine Learning
Prepare to talk about recent trends or advancements in machine learning that excite you. This shows your passion for the field and helps demonstrate that you're not just looking for a job, but genuinely interested in contributing to the team.
✨Problem-Solving Scenarios
Think of specific examples where you've tackled complex problems, especially in production environments. Be ready to explain your thought process and the steps you took to arrive at a solution, as this will highlight your analytical skills.
✨Collaborative Mindset
Since the role involves working in a collaborative environment, prepare to discuss how you've successfully worked in teams before. Share experiences where you contributed to modernising practices or improving workflows, as this aligns with the company's goals.
