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- Tasks: Adapt models and architect scalable AI systems for real-world applications.
- Company: Bjak Sdn Bhd, a forward-thinking tech company in Westminster.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Self-directed individuals thrive in our dynamic and innovative environment.
- Why this job: Join a collaborative team and make a real impact with cutting-edge ML solutions.
- Qualifications: Experience in building ML systems and proficiency in Python, PyTorch, and JAX.
The predicted salary is between 60000 - 80000 £ per year.
Bjak Sdn Bhd is seeking a Machine Learning Engineer in Westminster, England. The role involves adapting models with advanced methods, architecting scalable inference systems, and maintaining data systems for both synthetic and real-world training data.
Candidates should have experience in building real-world ML systems, rigorous coding standards, and be self-directed. Proficiency in Python, PyTorch, and JAX is required.
Join a collaborative team to deliver impactful ML solutions.
Lead ML Systems Engineer: Scalable Production AI in London employer: Bjak Sdn Bhd
Contact Detail:
Bjak Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Systems Engineer: Scalable Production AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 ML projects, especially those involving Python, PyTorch, and JAX. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and coding skills. Practice common ML system design questions and be ready to discuss your past experiences in building scalable systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead ML Systems Engineer: Scalable Production AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, PyTorch, and JAX in your application. We want to see how you've used these tools in real-world ML systems, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with adapting models and architecting scalable inference systems. 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 any important updates from our team!
How to prepare for a job interview at Bjak Sdn Bhd
✨Know Your ML Models Inside Out
Make sure you can discuss the models you've worked with in detail. Be prepared to explain how you've adapted them for real-world applications and the challenges you faced. This shows your hands-on experience and problem-solving skills.
✨Showcase Your Coding Skills
Since rigorous coding standards are a must, bring examples of your code or projects. Be ready to discuss your coding practices, especially in Python, PyTorch, and JAX. This will demonstrate your technical proficiency and attention to detail.
✨Prepare for System Architecture Questions
Expect questions about architecting scalable inference systems. Brush up on your knowledge of system design principles and be ready to discuss how you would approach building these systems. This will highlight your strategic thinking and engineering mindset.
✨Emphasise Collaboration and Self-Direction
Bjak Sdn Bhd values teamwork and self-direction. Share examples of how you've successfully collaborated with others on ML projects and how you manage your own work. This will show that you can thrive in their collaborative environment while being proactive.