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- Tasks: Build CI/CD pipelines and operationalise ML models in robotics.
- Company: Venture-backed robotics and AI company in Wokingham.
- Benefits: Competitive salary, diverse team, and opportunities for innovation.
- Why this job: Join a cutting-edge team and make a real impact in robotics.
- Qualifications: 4-7 years in MLOps, strong Python skills, and cloud expertise.
- Other info: Dynamic environment focused on real-world applications of technology.
The predicted salary is between 42000 - 84000 £ per year.
A venture-backed robotics and AI company in Wokingham is hiring a Machine Learning DevOps Engineer to bridge machine learning, infrastructure, and product delivery. You will build CI/CD pipelines, track model performance, and collaborate with data scientists to operationalize ML models.
We are seeking candidates with:
- 4–7 years' experience in MLOps
- Strong Python skills
- Expertise in cloud environments
Join a diverse team dedicated to advancing robotic systems in real-world applications.
ML DevOps Engineer for Production Robotics in Wokingham employer: Candidate Portal
Contact Detail:
Candidate Portal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML DevOps Engineer for Production Robotics in Wokingham
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CI/CD pipelines and any ML models you've operationalised. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss cloud environments. We recommend practising common MLOps scenarios to demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to make a difference in robotics and AI.
We think you need these skills to ace ML DevOps Engineer for Production Robotics in Wokingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and Python. 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 excited about the role and how your background makes you a perfect fit for our team. Let us know what drives you in the world of robotics and AI.
Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve worked closely with data scientists or engineers. Highlighting your ability to bridge gaps between teams will definitely catch our eye!
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!
How to prepare for a job interview at Candidate Portal
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud environments you've worked with. Be ready to discuss specific projects where you've built CI/CD pipelines or tracked model performance. The more detailed you can be about your experience, the better!
✨Showcase Your Collaboration Skills
Since you'll be working closely with data scientists, it's crucial to demonstrate your ability to collaborate effectively. Prepare examples of how you've successfully worked in a team setting, especially in bridging gaps between machine learning and infrastructure.
✨Understand the Company’s Vision
Research the robotics and AI company thoroughly. Understand their products, mission, and the challenges they face in real-world applications. This will not only help you answer questions but also show your genuine interest in being part of their team.
✨Prepare for Technical Questions
Expect technical questions that test your MLOps knowledge. Practice explaining complex concepts in simple terms, as you might need to communicate with non-technical stakeholders. Being able to articulate your thought process is key!