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- Tasks: Design and deploy machine learning models for innovative robotics applications.
- Company: Leading robotics company in Bristol with a focus on cutting-edge technology.
- Benefits: Flexible working, competitive salary, and career development opportunities.
- Why this job: Join a dynamic team and make a real-world impact with your ML skills.
- Qualifications: Strong MLOps practices and passion for scalable ML systems.
- Other info: Hybrid work environment with exciting projects and growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading robotics company in Bristol is seeking a skilled Machine Learning Engineer. This role focuses on designing and deploying machine learning models for robotics applications. You will work in a dynamic hybrid environment and contribute to cutting-edge technology that impacts the real world.
The ideal candidate will have strong MLOps practices and a passion for scalable ML systems. This position offers competitive benefits, including flexible working and career development opportunities.
Senior ML Engineer for Robotics & MLOps (Hybrid) in Bristol employer: Rosenxt Group
Contact Detail:
Rosenxt Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer for Robotics & MLOps (Hybrid) in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and ML community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to robotics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your MLOps knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 are proactive about their job search.
We think you need these skills to ace Senior ML Engineer for Robotics & MLOps (Hybrid) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about MLOps and scalable ML systems. We love seeing genuine enthusiasm for the field, so let your personality come through.
Showcase Your Projects: If you've worked on any cool ML projects, especially in robotics, make sure to mention them! We’re keen to see practical examples of your work and how you’ve tackled challenges in the past.
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 our team!
How to prepare for a job interview at Rosenxt Group
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how you designed, deployed, and optimised them, especially in the context of robotics applications.
✨Showcase Your MLOps Expertise
Highlight your experience with MLOps practices during the interview. Discuss specific tools and frameworks you've used, and be ready to share examples of how you've implemented scalable ML systems in previous projects.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of both machine learning and robotics. Brush up on key concepts and be ready to solve problems on the spot, as this will demonstrate your practical skills.
✨Emphasise Your Passion for Innovation
This role is all about cutting-edge technology, so convey your enthusiasm for the field. Share any personal projects or research that showcase your commitment to advancing robotics and machine learning.
