Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to enhance Python-based machine learning deployments in live pricing systems.
- Company: Leading analytics firm in Manchester with a focus on innovation.
- Benefits: Hybrid work model, strong growth opportunities, and collaborative environment.
- Why this job: Make an impact in the exciting field of machine learning and business performance.
- Qualifications: Strong Python skills and a degree in a technical subject required.
- Other info: Great chance to grow your career in a dynamic and supportive team.
The predicted salary is between 28800 - 48000 £ per year.
A leading analytics firm in Manchester is seeking a Machine Learning Operations Engineer to work on Python-based deployments within live pricing systems. You will be part of a collaborative team, focusing on building and improving tools for model deployment and ensuring high-quality changes.
Ideal candidates will have strong Python skills, a degree in a technical subject, and a genuine interest in how machine learning impacts business performance. This role offers a hybrid work model and strong growth opportunities.
Junior ML Ops Engineer - Production ML, Hybrid (Manchester) employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior ML Ops Engineer - Production ML, Hybrid (Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Junior ML Ops Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to machine learning. We want to see how you’ve tackled real-world problems and improved processes – it’ll make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on common ML Ops scenarios. We recommend practising with friends or using mock interview platforms. The more comfortable you are discussing your experience and knowledge, the better you’ll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Junior ML Ops Engineer - Production ML, Hybrid (Manchester)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in real-world scenarios, especially if it's related to machine learning or deployment.
Tailor Your Application: Don’t just send a generic application! We love seeing candidates who take the time to tailor their CV and cover letter to our job description. Mention specific projects or experiences that relate to ML Ops.
Express Your Interest in ML: Let us know why you're passionate about machine learning and its impact on business performance. A genuine interest can really make your application stand out!
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!
How to prepare for a job interview at Guaranteed Tenants Ltd
✨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-based deployments, especially in relation to machine learning. Practising coding challenges or discussing past projects can really help demonstrate your expertise.
✨Understand Machine Learning's Business Impact
Since this role focuses on how machine learning affects business performance, be prepared to talk about specific examples where you've seen this in action. Think about how ML can optimise processes or improve decision-making in a business context.
✨Show Your Collaborative Spirit
This position is all about teamwork, so highlight your ability to work well with others. Share experiences where you’ve collaborated on projects, particularly in a technical environment, and how you contributed to the team's success.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to ML Ops and their tools for model deployment. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
