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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 City of Westminster 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 City of Westminster
✨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 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 that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our collaborative team.
We think you need these skills to ace Lead ML Systems Engineer: Scalable Production AI in City of Westminster
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. We love seeing candidates who take the time to connect their experience to our needs!
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 Bjak Sdn Bhd
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around scalable production AI. Be ready to discuss your experience with adapting models and building real-world ML systems. They’ll want to see that you can talk the talk and walk the walk!
✨Show Off Your Coding Skills
Since rigorous coding standards are a must, prepare to showcase your Python, PyTorch, and JAX skills. You might be asked to solve a coding problem on the spot, so practice writing clean, efficient code beforehand. It’s all about demonstrating that you can build robust ML systems.
✨Be Self-Directed
This role requires a self-directed approach, so come prepared with examples of how you've taken initiative in past projects. Share stories that highlight your ability to work independently and drive results without constant supervision. They’ll appreciate your proactive mindset!
✨Collaborate and Communicate
Since you'll be joining a collaborative team, be ready to discuss how you’ve worked with others in the past. Highlight your communication skills and how you’ve contributed to team success. They’re looking for someone who can not only deliver impactful ML solutions but also fit well within their team dynamic.