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- Tasks: Lead the design and development of scalable ML systems using Python.
- Company: Fast-scaling AI company with a focus on innovation.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Join an ambitious team and shape the future of AI products.
- Qualifications: 10-12+ years of experience in ML systems and expert Python skills.
- Other info: Be part of a dynamic environment with significant influence on AI technology.
The predicted salary is between 72000 - 108000 £ per year.
A fast-scaling AI company is seeking a Senior / Staff AI Engineer to shape their ML platform and provide technical leadership. This role focuses on designing and building production ML systems in Python, with an emphasis on scalable ML infrastructure and MLOps.
Candidates should have 10-12+ years of experience, expert Python skills, and a proven track record running ML systems at scale. This is a unique opportunity to join an ambitious team and influence the future of AI products.
Remote Senior AI Engineer — ML Systems & Infra Lead in Sheffield employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior AI Engineer — ML Systems & Infra Lead in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even online forums where you can chat with industry experts. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving scalable ML systems. This is your chance to demonstrate your Python prowess and technical leadership. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to ML systems and infrastructure. Remember, they want to see how you think and solve problems, so be ready to showcase your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s shape the future of AI together!
We think you need these skills to ace Remote Senior AI Engineer — ML Systems & Infra Lead in Sheffield
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 10-12+ years of experience in AI and ML systems. We want to see your journey, so share specific projects where you've designed and built scalable ML infrastructure.
Python is Key: Since expert Python skills are a must, don’t hold back! Include examples of how you've used Python in your previous roles, especially in relation to MLOps and production ML systems.
Technical Leadership Matters: We’re looking for someone who can provide technical leadership, so be sure to mention any instances where you’ve led teams or projects. Show us how you’ve influenced others and driven success in your past roles.
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 out on this exciting opportunity to join our ambitious team!
How to prepare for a job interview at SearchWorks
✨Know Your ML Systems Inside Out
Make sure you brush up on your knowledge of machine learning systems and infrastructure. Be ready to discuss your past experiences in designing and building scalable ML systems, especially in Python. Prepare specific examples that showcase your technical leadership and problem-solving skills.
✨Showcase Your MLOps Expertise
Since this role emphasises MLOps, be prepared to talk about your experience with deploying and maintaining ML models in production. Highlight any tools or frameworks you've used and how they contributed to the efficiency of the ML lifecycle. This will demonstrate your hands-on experience and understanding of the operational side of AI.
✨Prepare for Technical Challenges
Expect to face some technical challenges during the interview. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges related to ML systems can help you feel more confident and show off your expertise effectively.
✨Align with Their Vision
Research the company’s mission and recent projects. Be ready to discuss how your background and vision align with their goals. Showing genuine interest in their work and how you can contribute to shaping the future of their AI products will set you apart from other candidates.
