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- Tasks: Design and optimise software infrastructure for advanced AI models in robotics.
- Company: Leading robotics and AI company based in London.
- Benefits: Competitive pay on a contract basis, primarily onsite.
- Why this job: Join a cutting-edge team and work on real-world AI applications.
- Qualifications: Strong Python or C++ skills, experience with ML frameworks, and knowledge of distributed systems.
- Other info: Exciting opportunity to shape the future of robotics and AI.
The predicted salary is between 48000 - 72000 £ per year.
A leading robotics and AI company in London is seeking a Senior ML Infrastructure Engineer to design, build, and optimise the core software infrastructure for advanced AI models in robotic systems. This role involves working on distributed training pipelines, AI inference, and supporting deployment strategies for real-world applications.
Candidates should have strong backgrounds in Python or C++, experience with ML frameworks, and an understanding of distributed systems. The position offers competitive pay on a contract basis, primarily onsite.
Robotics ML Infra Engineer: Scale, Deploy & Optimize AI in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics ML Infra Engineer: Scale, Deploy & Optimize AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML infrastructure or robotics. We want to see your work in action, so don’t be shy about sharing your GitHub or any relevant demos.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python or C++ skills and be ready to discuss distributed systems. We recommend practicing common technical 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 apply directly!
We think you need these skills to ace Robotics ML Infra Engineer: Scale, Deploy & Optimize AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or C++, as well as any work you've done with ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and AI, and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on distributed training pipelines or AI inference, make sure to mention those projects in your application. We love seeing real-world applications of your skills, so share any links or details that can help us understand your contributions.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python or C++ skills, as well as the ML frameworks relevant to the role. Be prepared to discuss specific projects where you've designed or optimised software infrastructure for AI models.
✨Understand Distributed Systems
Since the role involves working with distributed training pipelines, it’s crucial to have a solid grasp of how these systems operate. Be ready to explain concepts like data parallelism and model parallelism, and share any hands-on experience you have.
✨Showcase Real-World Applications
Think about how your previous work has impacted real-world applications. Prepare examples that demonstrate your ability to deploy AI solutions effectively, and be ready to discuss the challenges you faced and how you overcame them.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, their approach to AI deployment, and how they envision the future of robotics. This shows your genuine interest and helps you gauge if it's the right fit for you.
