At a Glance
- Tasks: Lead the development of AI infrastructure for robotics using Python and cloud technologies.
- Company: OpenSourced - Search & Selection, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects with potential for significant impact in the robotics field.
- Why this job: Join a fast-paced team and shape the future of robotics with your expertise.
- Qualifications: Strong skills in Python and experience with cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
OpenSourced - Search & Selection is looking for a highly skilled AI / ML Infrastructure Engineer in Bristol to lead the development of infrastructure for AI systems in robotics. This technical role requires expertise in Python and cloud technologies to enhance model training and deployment processes.
Ideal candidates will work in a fast-paced environment to build GPU-based training infrastructures and develop data pipelines that directly influence cutting-edge robotics capabilities.
Robotics AI/ML Infrastructure Engineer (MLOps) in Bristol employer: OpenSourced - Search & Selection
OpenSourced - Search & Selection is an excellent employer for those passionate about robotics, offering a dynamic work culture in the vibrant city of Bristol. Employees benefit from strong career progression opportunities and the chance to collaborate with a high-performing team on innovative projects that shape the future of humanoid systems. With a focus on cutting-edge technology and real-world applications, this role promises meaningful contributions in a fast-growing sector.
Contact Details:
OpenSourced - Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Robotics AI/ML Infrastructure Engineer (MLOps) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI community on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud technologies. We love seeing real-world applications of your expertise, so make sure to highlight any GPU-based training infrastructures you've built.
✨Tip Number 3
Prepare for technical interviews by brushing up on your MLOps knowledge. We recommend practising coding challenges and discussing your past experiences with model training and deployment processes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates ready to dive into the world of robotics.
We think you need these skills to ace Robotics AI/ML Infrastructure Engineer (MLOps) in Bristol
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python and cloud technologies in your application. We want to see how your skills can enhance our AI systems, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Robotics AI/ML Infrastructure Engineer role. We love seeing candidates who take the time to align their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in Bristol.
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and cloud technologies. Be ready to discuss specific projects where you've built GPU-based training infrastructures or developed data pipelines. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to AI systems in robotics. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to thrive in a fast-paced environment.
✨Understand the Company’s Vision
Research OpenSourced and their approach to robotics. Familiarise yourself with their recent projects and innovations. Showing that you align with their goals will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for model training and deployment, or how they measure success in their projects. This shows your genuine interest and engagement.
