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- Tasks: Lead the development of scalable ML systems for a cutting-edge AI chat app.
- Company: Join Bjak, a forward-thinking company revolutionising AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact in AI while working with innovative technologies.
- Qualifications: Experience in ML pipelines, Python, and libraries like PyTorch and JAX.
The predicted salary is between 60000 - 80000 £ per year.
Bjak is seeking a Technical Lead in Machine Learning to oversee the execution layer of their AI chat app. This role involves managing ML systems, ensuring they are trainable and deployable under real-world constraints.
The ideal candidate will have experience building scalable and efficient ML pipelines, along with expertise in languages like Python and libraries such as PyTorch and JAX.
Join Bjak to help deliver high-impact solutions in a dynamic environment.
Staff ML Systems Engineer — Production-Ready AI in London employer: Bjak
Contact Detail:
Bjak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Systems Engineer — Production-Ready 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 at Bjak or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving scalable pipelines or real-world applications. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and libraries like PyTorch and JAX. Practice coding challenges and system design questions that relate to ML systems to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff ML Systems Engineer — Production-Ready AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML systems and the specific technologies mentioned in the job description, like Python, PyTorch, and JAX. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your previous work has prepared you for this role. Share specific examples of projects where you've built scalable ML pipelines or tackled real-world constraints.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've successfully managed challenges in ML systems. We love seeing how candidates approach problem-solving, especially in dynamic environments like ours!
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It helps us keep everything organised and ensures your application gets to the right people quickly!
How to prepare for a job interview at Bjak
✨Know Your ML Systems Inside Out
Make sure you’re well-versed in the specifics of machine learning systems, especially those that are trainable and deployable. Brush up on your experience with scalable ML pipelines and be ready to discuss how you've tackled real-world constraints in previous projects.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and libraries like PyTorch and JAX. You might be asked to solve a coding problem or explain your approach to building efficient ML models, so practice articulating your thought process clearly.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in dynamic environments. Think of examples from your past work where you had to adapt quickly or innovate under pressure, and be ready to share these stories during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in Bjak’s mission and the role. Inquire about their current challenges in AI deployment or how they envision the future of their chat app, as this demonstrates your enthusiasm and strategic thinking.