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- Tasks: Enhance deployment and operation of machine learning models in a dynamic pricing environment.
- Company: Leading analytics firm in Manchester with a focus on innovation.
- Benefits: Flexible hybrid work model, real ownership, and impactful projects.
- Why this job: Shape machine learning applications at scale and make a real business impact.
- Qualifications: Proven experience in production ML systems and strong collaboration skills.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading analytics firm in Manchester is seeking a Senior ML Operations Engineer to enhance the deployment and operation of machine learning models in a dynamic pricing environment. This role combines strong engineering skills with business impact, focusing on production-level Python deployments.
The ideal candidate will have proven experience in production ML systems and excellent collaboration skills. Enjoy real ownership and flexibility while shaping machine learning applications at scale.
Expect a hybrid work model, advancing from 40% on-site to 60% within the next year.
Senior ML Operations Engineer - Python, Hybrid in Manchester employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Operations Engineer - Python, Hybrid in 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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and Python deployments. We want to see your work in action, so make sure it’s easy to access and highlights your best achievements.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with production ML systems. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Operations Engineer - Python, Hybrid 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 production-level ML systems, so don’t hold back on the details!
Demonstrate Collaboration: Since this role requires excellent collaboration skills, share examples of how you've worked with teams in the past. We love to see how you can bring people together to achieve great results.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills and experiences align with enhancing machine learning models in a dynamic pricing environment. It shows us you’re genuinely interested!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Guaranteed Tenants Ltd
✨Know Your ML Operations Inside Out
Make sure you brush up on your knowledge of machine learning operations, especially in a dynamic pricing context. Be ready to discuss your experience with production-level Python deployments and how you've tackled challenges in previous roles.
✨Showcase Your Collaboration Skills
Since this role emphasises collaboration, think of examples where you've worked effectively with cross-functional teams. Prepare to share how you’ve communicated complex technical concepts to non-technical stakeholders.
✨Demonstrate Business Impact
Be prepared to discuss how your engineering skills have directly contributed to business outcomes. Highlight specific projects where your work led to measurable improvements in efficiency or revenue.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and their future plans. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
